Patent Publication Number: US-11022459-B2

Title: System for providing personalized information and method of providing the personalized information

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This is a Continuation Application of U.S. patent application Ser. No. 15/475,601, filed on Mar. 31, 2017, which is a Continuation Application of U.S. patent application Ser. No. 14/713,109, filed on May 15, 2015, now U.S. Pat. No. 9,631,944 issued Apr. 25, 2017, which claims the benefit of U.S. Provisional Application No. 61/993,445, filed on May 15, 2014, and claims priority from Korean Patent Application No. 10-2014-0127184, filed on Sep. 23, 2014, and Korean Patent Application No. 10-2015-0000288, filed on Jan. 2, 2015, in the Korean Intellectual Property Office. The entire disclosures of the prior applications are considered part of the disclosure of the accompanying Continuation Application, and are hereby incorporated by reference. 
    
    
     BACKGROUND 
     1. Field 
     One or more exemplary embodiments relate to a system for providing personalized information and a method of providing the personalized information, and more particularly, to a system for providing location-based personalized information and a method thereof. 
     2. Description of the Related Art 
     With the development of communication techniques based on smart computing devices, location-based services for providing information based on a location of a computing device are becoming popular. 
     Most of the current location-based services provide information based on a present location of a computing device. For example, if user A and user B both execute a map application using their respective computing devices at the same location and the same time, the map application provides identical local information (e.g., famous places, information about events such as concerts, or coupon information). 
     However, location-based services according to the related art consume a large amount of battery power of a computing device, and thus it may be difficult to use the services continuously. 
     SUMMARY 
     One or more exemplary embodiments include a system for providing location-based personalized information by using user location history information, whereby battery power consumption of a computing device is reduced, and a method of providing the location-based personalized information. 
     Additional aspects will be set forth in the description which follows and will be apparent from the description or may be learned by practice of exemplary embodiments. 
     According to an aspect of an exemplary embodiment, there is provided a computing device including: a location finder configured to obtain location information of a user of the computing device; a display configured to display information indicating a route of the user of the computing device; and a controller configured to: track a location of the user by sensing a change in the location of the user based on the obtained location information of the user, obtain information corresponding to an initial route of the user based on the tracked location of the user, determine a predicted route of the user based on the information corresponding to the initial route of the user and past location information of the user, and display the predicted route on the display. 
     After displaying the predicted route on the display, the controller may be further configured to: control the location finder to track a route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user, surrounding environment information of the user, and the predicted route, and update the past location information of the user based on the tracked route of the user. 
     The controller may be further configured to control the location finder to obtain the initial route by varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user. 
     If the predicted route is not determined from the past location information of the user based on the initial route, the controller may be further configured to control the location finder to track the route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed and surrounding environment information of the user, and update the past location information of the user based on the tracked route of the user. 
     The controller may be further configured to display personalized information about the user on the display based on the predicted route and profile information of the user. 
     The controller may be further configured to display recommendation information on the display including at least one item of recommended content based on profile information of a place adjacent to the predicted route and the profile information of the user. 
     The recommended content may include a theme item. 
     The controller may be further configured to provide the recommended content in a form of a map or a notification. 
     The controller may be further configured to detect regional information about a region adjacent to the predicted route, wherein the regional information includes information about where a group of people is active at a current time, and display the detected regional information on the display. 
     The controller may be further configured to detect a usage count of the user on the predicted route from the past location information of the user, and display on the display the personalized information according to the detected usage count. 
     According to an aspect of another exemplary embodiment, there is provided a method of providing personalized information, performed by a computing device, the method including: obtaining information about an initial route of a user by tracking a location of the user by sensing a change in the location of the user; determining a predicted route of the user based on the information corresponding to the initial route of the user and past location information of the user; and displaying the predicted route on a display of the computing device. 
     The method may further include, after displaying the predicted route on the display, tracking a route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user, surrounding environment information of the user, and the predicted route; and updating the past location information of the user based on the tracked route of the user. 
     The obtaining information about the initial route of the user may include obtaining information about the initial route of the user while varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user. 
     If the predicted route is not determined from the past location information of the user based on the initial route of the user, the method may include: tracking the route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user; and updating the past location information of the user based on the tracked route of the user. 
     The method may further include providing personalized information about the user based on the predicted route and profile information of the user. 
     The providing of personalized information about the user may include providing recommendation information including at least one item of recommended content based on profile information of a place adjacent to the predicted route and the profile information of the user. 
     The recommended content may include a theme item. 
     The method may further include providing the recommended content in a form of a map or a notification. 
     The providing of personalized information about the user may include: detecting regional information about a region adjacent to the predicted route wherein the regional information includes information about where a group of people is active at a current time; and providing the detected regional information. 
     The method may further include detecting a usage count of the user on the predicted route from the past location information of the user, and providing the personalized information according to the detected usage count. 
     According to an aspect of another exemplary embodiment, there is provided a computing device including: a location tracker configured to track a location of the computing device; a memory configured to store a location history of the computing device according to the tracked locations; a controller configured to determine an initial route of the computing device by comparing a current location of the computing device to a previous location of the computing device, and determine a predicted route of the computing device based on the initial route and the location history of the computing device. 
     The controller may be further configured to detect information corresponding to a point of interest based on a point on the predicted route of the computing device, and display the information corresponding to the point of interest on a display of the computing device. 
     The location tracker may include a sensor. 
     The controller may be further configured to control a display to provide a menu of theme items to a user, and receive an input from the user for selecting a preferred theme item. 
     The controller may be further configured to determine a recommended theme item based on a point of interest near the predicted route of the computing device and the preferred theme of the user. 
     According to an aspect of another exemplary embodiment, there is provided a non-transitory computer readable recording medium storing one or more programs includes commands for executing a method of providing personalized information, wherein the method is performed in the same way as the above-described method of providing personalized information is performed. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       These and/or other aspects will become apparent and more readily appreciated from the following description of exemplary embodiments, taken in conjunction with the accompanying drawings in which: 
         FIG. 1  is a view illustrating an example of personalized information provided according to an exemplary embodiment; 
         FIG. 2  is an operational flowchart of a method of providing personalized information according to an exemplary embodiment; 
         FIG. 3  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 4  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 5  illustrates an example of a screen for providing different interest information based on the usage count information included in information indicating a predicted route of the user; 
         FIG. 6  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 7  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 8  illustrates an example of providing information about a region adjacent to a predicted route of a user, according to another exemplary embodiment; 
         FIG. 9  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 10  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 11  illustrates an example of providing information about a point of interest included in a region adjacent to a predicted route of a user, according to another exemplary embodiment; 
         FIG. 12  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 13  illustrates an example of providing information about a point of interest included in a region adjacent to a predicted route of a user, according to another exemplary embodiment; 
         FIG. 14  illustrates an example of a screen including a list of searchable points of interest according to another exemplary embodiment; 
         FIG. 15  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 16A  illustrates an example of a screen for providing information about a point of interest based on a current point on a predicted route of a user, according to another exemplary embodiment; 
         FIG. 16B  illustrates an example of a screen for providing information about a point of interest based on a destination point on a predicted route of a user, according to another exemplary embodiment; 
         FIG. 16C  illustrates an example of a screen for providing information about a point of interest based on a current point and a destination point on a predicted route of a user, according to another exemplary embodiment; 
         FIG. 17  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 18  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 19  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 20  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 21  illustrates examples of screens that may be provided according to an exemplary flowchart of  FIG. 20 ; 
         FIG. 22  is a view illustrating a method of providing personalized information according to an exemplary embodiment; 
         FIG. 23  is an operational flowchart of a method of providing personalized information according to an exemplary embodiment; 
         FIG. 24  illustrates an example of a screen illustrating a request for generating content according to an exemplary embodiment; 
         FIG. 25  illustrates an example of a display of a recommendation theme item according to an exemplary embodiment; 
         FIG. 26  illustrates an example of a screen including an input window whereby new content is generated according to an exemplary embodiment; 
         FIG. 27  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIGS. 28A and 28B  illustrate examples of a display of a recommendation theme item as a notification; 
         FIG. 29  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 30  illustrates an example of a screen whereby sharing of generated content may be set, according to another exemplary embodiment; 
         FIG. 31  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 32  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 33  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 34  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 35  is a view illustrating a method of providing personalized information according to another exemplary embodiment; 
         FIG. 36  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 37  illustrates an example of a screen for selecting a theme item according to another exemplary embodiment; 
         FIG. 38  illustrates an example of a screen for setting a theme item filtering condition according to another exemplary embodiment; 
         FIG. 39  illustrates an example of a map image, on which a theme item according to another exemplary embodiment is marked on a point of interest; 
         FIG. 40  illustrates an example of a screen on which an augmented reality (AR) image and data about a point of interest are synthesized, according to another exemplary embodiment; 
         FIG. 41  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIG. 42  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment; 
         FIGS. 43 and 44  are functional block diagrams of a computing device according to one or more exemplary embodiments; and 
         FIG. 45  is a structural diagram illustrating a system for providing personalized information according to an exemplary embodiment. 
     
    
    
     DETAILED DESCRIPTION 
     Reference will now be made in detail to one or more exemplary embodiments, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout. In this regard, exemplary embodiments may have different forms and should not be construed as being limited to the descriptions set forth herein. Accordingly, exemplary embodiments are merely described below, by referring to the figures, to explain aspects of the disclosure. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items. Expressions such as “at least one of,” when preceding a list of elements, modify the entire list of elements and do not modify the individual elements of the list, unless specifically stated otherwise. 
     However, the disclosure is not limited to particular modes of practice, and it is to be appreciated that all changes, equivalents, and substitutes that do not depart from the spirit and technical scope of inventive concepts are encompassed in the disclosure. In the description of inventive concepts, certain detailed explanations of related art may be omitted if it is deemed that they may unnecessarily obscure the essence of inventive concepts. 
     While such terms as “first,” “second,” etc., may be used to describe various components, such components are not limited to the above terms. The above terms are used only to distinguish one component from another. 
     The terms used in this disclosure may be general terms widely used in the art in consideration of functions in regard to inventive concepts, but the terms may vary according to the intention of those of ordinary skill in the art, precedents, or new technology in the art. Also, specified terms may be selected by the applicant, and in this case, the detailed meaning thereof will be described in the disclosure. Thus, the terms used in the specification should be understood not as simple names but based on the meaning of the terms and the overall disclosure. 
     An expression used in the singular encompasses the expression of the plural, unless it has a clearly different meaning in the context. In the present specification, it is to be understood that the terms such as “including,” “comprising,” or “having,” etc., are intended to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof disclosed in the specification, and are not intended to preclude the possibility that one or more other features, numbers, steps, actions, components, parts, or combinations thereof may exist or may be added. 
     The term user location history information in the specification may refer to cumulative information about points and places where a user has been, beginning from a particular time, (e.g., a time a user agreed to the terms of a service via a computing device) until a present time. A service may refer to a service for collecting location information of a user or a service of providing personalized information according to an exemplary embodiment. 
     The service may be continuously executed while power is supplied to a computing device, and the service may be executed regardless of whether the computing device is being used. However, the service is not limited thereto. For example, the service may be executed according to an environmental condition set by a user. The environmental condition may be set according to a location and/or time. For example, the environmental condition may be set such that a service is executed when the computing device is in a location other than a home or office of a user. The environmental condition may be set such that execution of a service is stopped according to a user&#39;s request for stopping the service. 
     The user location history information may include, without limitation, at least one of a user mode (e.g., Stay, Walk, or Ride), an indoor/outdoor mode (e.g., Indoor, or Outdoor), a location information providing mode (e.g., Network_Provider, Global Positioning System(GPS)_Provider, or sensor), a latitude value, a longitude value, altitude value, a bearing value, accuracy, and a time. 
     If a latitude value or a longitude value included in the user location history information is a filtered value, the user location history information may further include an original latitude value and an original longitude value. The original latitude value and the original longitude value are unfiltered values. Filtering with respect to a latitude value and a longitude value may be performed using a Kalman filter, i.e., linear quadratic estimation (LQE), but is not limited thereto. 
     The user location history information may further include information about content (e.g., a picture, a memo, a video, a theme item, and/or a recommendation message). 
     The network provider included in the location information providing mode may include at least one of a Wi-Fi communication, a cell ID communication, a near field communication (NFC), and a Bluetooth beacon communication, but is not limited thereto. The sensor included in the location information providing mode may include a light emitting diode (LED) sensor, a geomagnetic sensor, an accelerometer sensor, and/or a gyroscope sensor, but is not limited thereto. 
     “Ride” included in the user mode may be expressed as a transportation means such as an automobile, a bicycle, a bus, a train, an air plane, a ship, or a helicopter. The user mode may be expressed as a user activity. The user activity represents a particular action of a user. For example, the user activity may include, without limitation, at least one of strolling, walking, running, exercising, cooking, cleaning, sleeping, meeting friend, having a meal, going to work, and/or coming home from work. 
     The user activity may be expressed as one of an icon, a text, an image, and a multimedia. The user activity may be classified as Life, Eat, Drink, Entertainment, Sports, and/or Work, but classification standards of the user activity are not limited thereto. 
     A user activity item included in “Life” may include, for example, without limitation, cooking, cleaning, resting, strolling, walking, gathering, talking, shopping, beauty, dating, driving, pet, birthday, wedding, and/or event. 
     A user activity item included in “Eat” may include, for example, without limitation, Korean food, Western food, Chinese food, Japanese food, Thai food, Italian food, Indian food, snack, fast food, bread, fruit, and/or vegetables. 
     A user activity item included in “Drink” may include, for example, without limitation, water, dairy drink, coffee, tea, juice, soda, alcohol, hot drink, cold drink, and/or functional drink. 
     A user activity item included in “Entertainment” may include, for example, without limitation, at least one of reading, writing (or memo), game, watching a movie, listening to music, singing, dancing, TV, exhibition, show, festival, picnic, camping, photography, gardening, fishing, meditation, and/or volunteering. 
     A user activity item included in “Sports” may include, for example, without limitation, at least one of running, biking, hiking, baseball, basketball, football, soccer, martial arts, extreme sports, yoga, fitness, leisure, swimming, scuba diving, skiing, snowboarding, and/or skating. 
     A user activity item included in “Work” may include, for example, without limitation, at least one of meeting, presentation, teleconference, seminar, education, workshop, conference, promotion, business trip, and/or work outside. 
     Information (e.g., profile) about a user&#39;s past route (e.g., trajectory) may be generated based on machine learning about user location history information. User&#39;s past route may refer to a route based on a user&#39;s movement generated before a movement of a user related to a current location of a computing device, after agreeing to a service by using the computing device. 
     Information about user&#39;s past route may include, without limitation, information about at least one of a starting point, a destination point, a point and/or place where a user has stayed, a tracked user&#39;s location, a time that a user&#39;s location is tracked, a time of starting movement, a time of ending movement, a total movement time, a movement time for respective user modes, a movement speed for respective user modes, a number of times of using a route, a number of times of visiting a destination point, and/or information about content. 
     Information (or profile) about a user&#39;s major route, or main route, may be generated through machine learning about user location history information. A user&#39;s main route may refer to at least one route that is traveled the most number of times, from among a user&#39;s routes, generated before a user&#39;s route related to a present location of a computing device, after agreeing to a service by using the computing device. 
     Information about a user&#39;s main route may include, without limitation, information about at least one of a starting point, a destination point, a point and/or place where a user has stayed, a tracked user&#39;s position (or user&#39;s location), a time that a user&#39;s position is tracked, a time of starting movement, a time of ending movement, a total movement time, a movement time for respective user modes, a movement speed for respective user modes, the number of times of using a route, the number of times of visiting a destination point, and/or information about content. 
     Information (or profile) about a region where a user has usually stayed and about an activity of the user at the region where the user has usually stayed may be generated through machine learning about user location history information. The region where the user has usually stayed may include, without limitation, a home, an office, a school, and/or an educational institution. 
     Machine learning about user location history information may be performed by using a device that stores the user location history information. 
     User location history information may be stored in at least one of a computing device, a device designated as a personal cloud of a user (e.g., a home sync, a device based on an Internet of Things (IoT) network (for example, a smart TV), a wearable device, another computing device, and a server, etc.), and/or a device within an area where a user may directly control the device. User location history information may be stored in a service provider server with the consent of the user. 
     When machine learning about user location history information is unsupervised learning, user location history information may be clustered to automatically extract distribution characteristics (or properties such as time) contained in the user location history information, and not only information described above but also a personalized profile or model based on a location of the user may be generated based on the extracted distribution characteristics. Machine learning about user location history information may be performed as unsupervised learning or supervised learning, but is not limited thereto. 
     User location history information may be collected at predetermined intervals, e.g., fixed period. For example, user location history information may be collected once every minute, for a total of 1440 entries. The 1440 entries may include, without limitation, at least one of a user mode, an indoor/outdoor mode, a location information providing mode, a latitude value, a longitude value, an altitude value, a bearing value, an accuracy value, and/or time described above. 
     User location history information may be collected by a variable period according to at least one of a movement speed of a user, information about a surrounding environment of the user, and/or a user&#39;s past route. When user location history information is collected by a variable period, the number of entries included in user location history information collected a day may be random. Information included in entries of user location history information collected by a variable period may be the same as information included in entries of user location history information collected by a fixed period described above. 
     A user described throughout the specification may refer to a person who has a computing device. Thus, movement of the user may represent movement of the computing device. A route of the user may represent a route of the computing device. Tracking a position of the user may refer to tracking a position of the computing device. A user&#39;s initial route may represent an initial route of the computing device. A user&#39;s predicted route may represent a predicted route of the computing device. Surrounding environment information of the user may represent surrounding environment information of the computing device. 
     Context information described throughout the specification may include, without limitation, at least one of user-based context information and/or geographical location-based context information. 
     User-based context information may include information regarding a user mode, a movement speed of a user, a movement time of the user, a distance that a user has moved, and/or a location to which the user has moved, described above. 
     A movement speed of a user may be continuously measured after the start of using a computing device, but is not limited thereto. For example, a movement speed may be continuously measured from when movement of the user has started to when the movement of the user is stopped. A movement speed may be measured at a previously set time interval and/or a previously set distance interval. 
     Movement time of a user may include the total movement time that a user moves per day, but is not limited thereto. For example, movement time of a user may include the times that the user starts and stops moving. Movement time of a user may include a total movement time for respective user modes. Movement time of the user may include the times that the user starts and stops moving for respective user modes. 
     Movement distance of a user may include the total movement distance that the user travels per day, but is not limited thereto. For example, movement distance of a user may include total movement distance for respective user modes. 
     Information indicating a location to which a user has moved may include latitude and longitude, but is not limited thereto. The information indicating a location to which a user has moved may further include an indoor/outdoor mode, a location information providing mode, an altitude value, a bearing value, and an accuracy value. The information indicating a location to which the user has moved may further include a name of a place. The accuracy value may represent as a range of error regarding a present location of the user. 
     User-based context information may include information about a current location of a user and time related to the current location of the user. The information about the current location of the user may include a latitude value and a longitude value, but is not limited thereto. For example, the information about the current location of the user may further include an indoor/outdoor mode, a location information providing mode, an altitude value, a bearing value, and/or an accuracy value. The information about the current location of the user may further include a name of a place. A name of a place may be expressed as, for example, home, office, restaurant, store, company, school, educational institution, and/or park, but is not limited thereto. The time related to the current location of the user may include a current time, but is not limited thereto. For example, if a user mode is Stay, the time related to a current location may include the duration (for example, start time and end time) for which the user stays in one location. 
     User-based context information may include information about a user. The information about the user may include, without limitation, at least one of user profile information, user health information (e.g., heart rate, blood flow, respiration speed, and/or skin temperature), user emotion information (e.g., joy, sorrow, fear, anger, surprise, gratitude, and hate), and user schedule information (e.g., wedding, meeting, and gathering). 
     The information about the user may include information about content generated by a user at a place. The information about content generated by the user may include, without limitation, content generated by the user at store B in train station A, a type of the generated content (e.g., a document, a picture, an audio or a video), a theme item of the generated content, and/or the number of contents generated for each theme item. The information about content generated by the user may be included in content history information. When content generated by a user is posted on social media, the information about content generated by the user may be included in a social network service history. 
     The information about the user may include information about a theme item preferred by a user. 
     The information about the user may include, without limitation, at least one of a search history, a mail history, a message history (e.g., a short text message history, a multi-message history, and/or a voice message history), a browsing history, and a social network service history. 
     The search history, the mail history, the message history, the browsing history, and the social network service history or the like may respectively include, without limitation, information generated by an interaction between a user and a computing device while at least one of a search application, a mail application, a message application, a browsing application, and a social network service application, or the like, installed in the computing device are executed. The information generated by the interaction between the user and the computing device may include, for example, a list of search key words, a list of transmitted and received mails, a list of transmitted or received messages, a list of uniform resource locators (URL), and/or information about a result of input and output data analysis. 
     A search history, a mail history, a message history, a browsing history, and a social network service history may be based on, without limitation, detection of at least one of a keyword, a picture, a place, a time, and an event (e.g., a baseball game, a soccer game, a concert, or a play, etc.) through at least one of context analysis, vocabulary analysis, image analysis, and/or tag analysis. 
     The information about the user may include, without limitation, at least one of information about at least one person who shares a social connection with the user (e.g., a friend on Facebook), at least one person registered to a phone book of the user, and content generated by the at least one person, information about a theme item preferred by the at least one person, information about a profile of the at least one person, information about a profile of at least one person who is with the user, information about content generated by at least one person who is with the user, information, information about a theme item preferred by at least one person who is with the user, information about at least one person who shares a destination point with the user, an activity of the at least one person, and/or a theme item of the at least one person. The activity of the at least one person may be similarly expressed as the activity of the user described above. 
     The user profile information may include, without limitation, information about the gender, age, interest, a point of interest (POI), a preferred POI, preference, hobby, current residential area, birth place, job, and/or a location of the office. For example, user profile information may include social media profile information on social media (e.g., Facebook, Twitter, blog, YouTube, or LinkedIn). 
     The social media profile information may be configured by detecting at least one of a keyword, a picture, a place, a time, and an event by analyzing at least one of a text, a word, an image, and/or a tag posted by a user, but is not limited thereto. Profile information of at least one person related to a user may be configured like the user profile information described above. 
     The information about a user may include at least one of personal information management software (PIMS) information and/or life log information. 
     The information about a user may include surrounding environment information of the user. The surrounding environment information may include an indoor/outdoor mode, Wi-Fi access point information (e.g., a fingerprint of a Wi-Fi access point), illuminance, and/or a cell ID, but is not limited thereto. The surrounding environment information may include information used to determine whether a user in indoors or outdoors. The surrounding environment information may include values sensed by an IoT network-based sensor (hereinafter, it will be referred to as an IoT sensor) which is located around a computing device. The IoT sensor may include, without limitation, at least one of a temperature sensor, a humidity sensor, an atmospheric sensor, a sunlight amount sensor, an ozone sensor, a yellow sand sensor, a dust sensor, a carbon dioxide sensor, a gas sensor, and/or a fire sensor. 
     The information about a user may be obtained by using a computing device based on data that is generated or input or output through interaction between a computing device and a user. The information about a user may be directly input, edited, revised or deleted by a user. The information about a user may be provided by an external device of a computing device. The external device may include, for example, a wearable device such as a smart watch, glasses, an appcessory, and/or a server (e.g., a social network service server). 
     The geographical location-based context information may be expressed as geographical location-based information. The geographical location-based context information may include place profile information, but is not limited thereto. The place profile information may include, without limitation, at least one of a name of a place (e.g., Gwanghwa-mun), an address of a place, a shop name (e.g., Seoul Bibimbap), information about content generated at the place, an event occurring at the place (e.g., a concert, a show, a photo exhibition, an art exhibition, advertisement, and/or discount coupons), weather, season, time, day, visitor information, the number of times of visiting the place by user, and/or floating population information of the place. 
     The place profile information may be collected by a place profile information providing server (e.g., a map server or a POI server) and provided to a computing device, but is not limited thereto. For example, the place profile information may be provided by a place profile information providing application installed in a computing device. 
     The place profile information providing application may collect information about places while communicating with the place profile information providing server, but is not limited thereto. For example, the place profile information providing application may collect information about places from an external device of a computing device. The place profile information providing application may be updated by the place profile information providing server. The place profile information providing application may collect information about places by interaction with a user of the computing device. 
     The place profile information may be different according to at least one of a day the week, time, weather, and/or season. For example, information about content registered at place A (e.g., a content type, a theme item, or a content recommendation message) may be different according to at least one of a day of the week, time, weather, and/or season. Information about content registered at place A on Monday may be different from information about content registered at place A on Tuesday. Information about content registered at place A at 7 p.m. may be different from information about content registered at place A at 1 p.m. Information about content registered at place A on a rainy day may be different from information about content registered at place A on a clear day. Information about content registered at place A in spring may be different from information about content registered at place A in winter. 
     Information about content registered at place A may be different according to a condition of combining a day of the week and weather. The information about content registered at place A may be different according to a condition of combining a day of the week and time. The information about content registered at place A may be different according to a condition of combining a day of the week and season. The information about content registered at place A may be different according to a condition of combining a day of the week, weather, and/or time. The information about content registered at place A may be different according to a condition of combining a day of the week, weather, and/or season. The information about content registered at place A may be different according to a condition of combining weather, time, and/or season. 
     The information about content may be differently registered according to conditions other than those described above. For example, the information about content may be different according to persons. That is, information about content registered by user A at place A may be different from information about content registered by user B at place A. 
     The information about content described throughout the specification may include, without limitation, a content type, content, a theme item corresponding to the content, the number of pieces of contents generated for each theme item, and a recommendation message based on the contents. 
     The theme item may indicate a representative activity of a user included in content to be generated. For example, the theme item may include at least one of, for example, without limitation, coffee, biking, a meeting, dating, a movie (or watching a movie), driving, sports, shopping, a hospital visit (or a hospital), reading, study, beauty care, eating, a game, a gathering, hiking, an all-nighter, killing time, a tasty food restaurant, talking, well-being, travel, self-development, cooking, rest, cleaning, a stroll, a pet, a birthday, a show, and/or a business trip. 
     The theme item may be set based on a user input. The theme item may be set when manufacturing a computing device. The theme item may be directly input, edited, revised, deleted, or added by a user. The theme item may be provided in the form of at least one of an icon, a text, an image, and multimedia, but is not limited thereto. For example, the theme item may be expressed as an icon or a combination of an icon and a text. 
     The theme item may be used when filtering a point of interest with respect to a user. The point of interest with respect to a user may indicate a place that is personalized for the user (e.g., a café, a tasty food restaurant, a park, or a promenade). 
     Hereinafter, exemplary embodiments will be described below in more detail with reference to the accompanying drawings. Components that are the same are given the same reference numeral, and redundant explanations may be omitted. 
       FIG. 1  is a view illustrating an example of personalized information provided according to an exemplary embodiment.  FIG. 1  illustrates an example of providing information about a user&#39;s predicted route (or a user&#39;s predicted trajectory) based on information about an initial route (or an initial trajectory) of the user tracked by using a computing device  100 . 
     Referring to  FIG. 1 , when a movement of the user is sensed by the computing device  100  at a point  101  illustrated on a screen  110 , the computing device  100  tracks a location of the user up to a current point  102  to obtain information about an initial route  103  of the user. The current point  102  may indicate a current location of the user who has the computing device  100 . Hereinafter, the point  101  will be referred to as a starting point  101 . 
     Information about the initial route  103  may include user location information measured between the starting point  101  and the current point  102  (for example, coordinate information expressed by a latitude value and a longitude value) and a time when a location of the user is measured, but is not limited thereto. For example, information about the initial route  103  may further include information about a user mode and/or information about content generated by the user. 
     When the location of the user is measured ten times between the starting point  101  and the current point  102 , information about the initial route  103  obtained by using the computing device  100  may include ten entries. Each entry includes information about a point where a location of the user is measured. 
     The information about the point where the user&#39;s location is measured may include information about the user&#39;s location that is measured and/or time when the user&#39;s location is measured. The information about the point where the user&#39;s location is measured may further include information about a user mode and information about content generated by the user. The computing device  100  may generate one entry for each time when the user&#39;s location is measured. 
     The current point  102  may be determined based on a previously set movement distance and/or a previously set movement time, but is not limited thereto. For example, the current point  102  may be set according to a user input. The user input may include, for example, a user input indicating a request for personalized information (request for a predicted route), but is not limited thereto. The user input may include, without limitation, at least one of a touch-based input, a user voice-based input, and a user gesture-based input. 
     When information about the initial route  103  is obtained, the computing device  100  detects information about a user&#39;s predicted route from user location history information based on the information about the initial route  103 . The user location history information may be expressed as a profile of user&#39;s locations. 
     The profile of user&#39;s locations may be generated by machine learning about collected user location history information. The profile about user&#39;s locations may be generated by using a device that stores the user location history information. The user location history information may be stored in the computing device  100 , but is not limited thereto. For example, the user location history information may be stored in an external device designated by a user in advance, such as a home sync. 
     The external device may be located outside the computing device  100 . The external device may be a device designated as a personal cloud of the user (e.g., a home sync, an IoT network-based device (for example, a smart TV, hereinafter, it will be referred to as an IoT device), a wearable device, another computing device, or a server), and/or a device within an area to be directly controlled by the user. 
     The external device storing the user location history information may collect user location history information during a predetermined period of time by using the computing device  100 . For example, a home sync may collect user location history information by using the computing device  100 . The user location history information may be collected during a predetermined period of time by using the computing device  100 . 
     When collecting the user location history information, the computing device  100  or the external device may measure a user&#39;s location by using a user location tracking method performed in operation S 202  of  FIG. 2  which will be described later, but is not limited thereto. 
     For example, the computing device  100  detects a similar route to a current route from cumulative route information or past route information. The computing device  100  may measure a user&#39;s location by determining a next location measurement point based on the detected similar route. The next location measurement point of a user may be determined based on the similar route by considering deviation of the user to another route. For example, the computing device  100  may determine a point of measuring a user&#39;s location by considering a point where a route is branched out, such as a forked road, an intersection, or a crossing. 
     When the user location history information is stored in the external device, the computing device  100  may detect information about a user&#39;s predicted route by reading the user location history information from the external device, but is not limited thereto. For example, the computing device  100  may provide the external device with information about the initial route  103 , and request information indicating the predicted route of the user from the external device and receive the same from the external device 
     The computing device  100  may provide a user with information indicating the predicted route of the user. For example, as illustrated on a screen  120  of  FIG. 1 , the computing device  100  may provide a user with information about a predicted route  104  of the user. 
     The computing device  100  may display the initial route  103  and the predicted route  104  of the user differently so that the user may intuitively distinguish the two. For example, as illustrated on the screen  120  of  FIG. 1 , the computing device  100  may display the initial route  103  with a solid line, and the predicted route  104  of the user with a dotted line, but the display of the initial route  103  and the predicted route  104  of the user is not limited to an exemplary embodiment of  FIG. 1 . 
     The computing device  100  may include, without limitation, for example, a portable device, a wearable device, a home internet appliance, or a mobile device. 
     Example of the portable device may include, without limitation, a smart phone, a notebook, a smart board, a tablet personal computer (PC), a handheld device, a handheld computer, a media player, an e-book device, or a personal digital assistant (PDA). 
     Example of the wearable device may include, without limitation, smart glasses, a smart watch, a smart band (e.g., smart waist band or smart hair band), various smart accessories (e.g., smart ring, smart bracelet, smart anklet, smart hair pin, smart clip, and smart necklace), various smart body protection pads (e.g., smart knee pads, smart elbow protection pads), smart shoes, smart gloves, smart clothing, smart hats, a smart artificial leg, or a smart artificial hand. 
     Example of the home internet appliance may include, without limitation, a smart TV, a smart player, a smart frame, a smart oven, a desktop PC, a smart refrigerator, a smart washing machine, a smart illumination, a smart training machine, a smart dryer, a smart dish washer, a smart bed, a smart wardrobe, or a smart anti-crime system (e.g., home closed circuit television (CCTV)). Example of the home internet appliance may include a machine-to-machine (M2M) or an IoT network-based home device. 
     Examples of the mobile device may include, without limitation, a M2M or an IoT network-based car, or a car navigation device. 
       FIG. 2  is an operational flowchart of a method of providing personalized information according to an exemplary embodiment. 
     In operation S 201 , the computing device  100  senses whether a user&#39;s location (or a user&#39;s position) is moved. The sensing whether the user&#39;s location is moved may be indicated sensing whether the user&#39;s location is changed. The computing device  100  may sense whether the user&#39;s location is moved based on a latitude value and a longitude value of the computing device  100 . For example, if one of the latitude value and the longitude value of the computing device  100  is changed, the computing device  100  may determine that the user&#39;s location is moved. 
     The latitude value and the longitude value of the computing device  100  may be provided from a network provider (or a network location information provider) or may be detected from a signal received from a GPS satellite. The network provider may provide the latitude value and the longitude value of the computing device  100  based on address information of a current location (or a current position) of the computing device  100 , but the method of providing the latitude value and the longitude value by the network provider is not limited thereto. 
     A method of sensing whether the user&#39;s location is moved is not limited to the method described above of using the latitude value and the longitude value. For example, the computing device  100  may sense whether the user&#39;s location is moved based on location information of a base station that is connected to the computing device  100  (e.g., a cell ID), a fingerprint of a Wi-Fi access point that is connected to the computing device  100 , and surrounding environment information (e.g., a sensing value (for example, visible ray illuminance) of an illuminance sensor (e.g., a LED sensor) or a sensing value of an IoT sensor). 
     The computing device  100  may sense whether the user&#39;s location is moved by using an inertia navigation method using an accelerometer sensor and a gyroscope sensor included in the computing device  100 , a magnetic field fingerprint method using a geomagnetic sensor included in the computing device  100 , or a method of sensing a signal generated via NFC or a Bluetooth beacon (Bluetooth signal generator). 
     Before sensing whether the user&#39;s location is moved, the computing device  100  may determine whether a current location of the user is indoors or outdoors. For example, the computing device  100  may determine whether a current location of the user is indoors or outdoors based on a distribution chart of a GPS satellite. That is, the computing device  100  detects a distribution chart of a GPS satellite based on a received GPS signal. When the detected distribution chart of a GPS satellite is uniform, the computing device  100  may determine that a current location of the user is outdoors. When the detected distribution chart of the GPS satellite is not uniform, the computing device  100  may determine that a current location of the user is indoors. 
     The computing device  100  may determine a method of sensing whether the user&#39;s location is moved and a method of tracking the user&#39;s location based on a result of determining whether a current location of the user is indoors or outdoors. For example, when a current location of the user is indoors, the computing device  100  may determine one of methods of using a network and/or a sensor as a method of sensing whether the user&#39;s location is moved and a method of tracking the user&#39;s location. For example, if a current location of the user is outdoors, one of the methods of using a network and/or a GPS may be determined as a method of sensing whether the user&#39;s location is moved and a method of tracking the user&#39;s location. 
     When tracking the route of the user, the computing device  100  may determine a method of sensing whether the user&#39;s location is moved and a method of tracking the user&#39;s location in multiple ways. For example, the computing device  100  may sense whether the user&#39;s location is moved by using a sensor, and may track the user&#39;s location by using a hybrid method in which both a network and a GPS are selectively used. 
     When tracking the user&#39;s route, the computing device  100  may vary a method of sensing whether the user&#39;s location is moved and a method of tracking the user&#39;s location based on at least one of a movement speed of a user, surrounding environment information of the user, and a past route (or a predicted route of the user). 
     When a movement of the user&#39;s location is sensed, the computing device  100  tracks the user&#39;s location in operation S 202 . The computing device  100  may continuously track the user&#39;s location, but is not limited thereto. For example, the computing device  100  may track the user&#39;s location at a preset measurement interval. The preset measurement interval may be set based on time and/or distance. 
     The preset measurement interval may be set differently according to a user mode. For example, a preset measurement interval used when a user who is walking or running may be different from a preset measurement interval of a user who is riding in a car. Further, a preset measurement interval used when a user is riding in a car may be different from a preset measurement interval used when a user is riding in a ship. 
     When tracking the user&#39;s location, the computing device  100  may variably control an interval of measuring the user&#39;s location based on at least one of a movement speed of the user and a surrounding environment information of the user. 
     For example, if the movement speed of the user increases, the computing device  100  may reduce an interval of measuring the user&#39;s location. If the movement speed of the user is reduced, the computing device  100  may increase an interval of measuring the user&#39;s location. 
     A range within which an interval of measuring the user&#39;s location is variably controllable according to the movement speed of the user may be different according to a user mode. For example, the range within which the interval of measuring the user&#39;s location is variably controllable when a user walks or runs may be different from a range within which an interval of measuring the user&#39;s location is variably controllable when a user is riding in a car. The range within which an interval of measuring the user&#39;s location is variably controllable may be represented in a form of a maximum value and a minimum value. 
     Even if a large amount of a user&#39;s movement is sensed, if it is determined based on surrounding environment information of the user that the user is staying at one location, the computing device  100  may increase an interval of measuring the user&#39;s location to be longer than a previous interval of measuring the user&#39;s location. The movement of the user may be sensed by using a motion sensor included in the computing device  100 . Example of the motion sensor may include, without limitation, an accelerometer sensor, a geomagnetic sensor, and/or a gyroscope sensor. 
     Even if the movement speed of the user is faster, if it is determined based on surrounding environment information of the user that the user is staying at one location (for example, if a user is rotating at one position or quickly moves at a spot of the same Wi-Fi fingerprint), the computing device  100  may increase an interval of measuring a user&#39;s location to be longer than a previous interval of measuring the user&#39;s location. 
     As described above, by variably controlling an interval of measuring the user&#39;s location or increasing an interval of measuring the user&#39;s location to be longer than a previous interval of measuring the user&#39;s location, or by controlling a method of tracking the user&#39;s location indoors differently from a method of tracking the user&#39;s location outdoors, battery consumption of the computing device  100  due to tracking of the user&#39;s location may be reduced. 
     Tracking a location of the user by using the computing device  100  in operation S 202  may be performed based on a preset time and/or a preset distance, but is not limited thereto. 
     Based on tracking of the user&#39;s location performed in S 202  by using the computing device  100 , the computing device  100  obtains information about an initial route of the user in operation S 203 . The information about an initial route is described above with reference to  FIG. 1 . 
     When the information about an initial route is obtained, the computing device  100  detects information indicating the predicted route of the user from the user location history information based on the information about an initial route in operation S 204 . The user location history information may be stored in the computing device  100 , but may also be stored in an external device of the computing device  100  as described with reference to  FIG. 1 . 
     When the user location history information is stored in an external device, the computing device  100  may read the user location history information stored in the external device in operation S 204  as described with reference to  FIG. 1  and detect the information indicating the predicted route of the user from the read user location history information or may request information indicating the predicted route of the user to the external device and receive the same from the external device. 
     When the user location history information is stored in the computing device  100  or is read from an external device, the computing device  100  may detect the information indicating the predicted route of the user by using a method described below. 
     The computing device  100  may detect information indicating the predicted route of the user by using a statistical analysis method. Examples of information used in detecting information indicating the predicted route of the user may include, without limitation, a location measurement time, a latitude value, or a longitude value. For example, information used in detecting information indicating the predicted route of the user may further include information about a user mode and/or information about content generated by a user. 
     The computing device  100  may detect information about a user&#39;s route by comparing information about an initial route and user location history information. The information about a user&#39;s route includes information about a similar route to an initial route. 
     The computing device  100  may detect information about the user&#39;s route, including information about a similar route to the initial route by using the user location information (e.g., a latitude value and a longitude value), and the location measurement time information. Information used by the computing device  100  when detecting the information about the user&#39;s route may be, as described above, information about a user mode and/or information about content generated by a user, included in the information about an initial route. 
     The computing device  100  may detect information indicating the predicted route of the user by using a machine learning algorithm. That is, the computing device  100  may analyze information about an initial route based on a profile or model of a user&#39;s location generated based on the user location history information. The analysis method may be performed by using a decision tree learning method based on the profile or model of a user&#39;s location or an artificial neural network, but the analysis method is not limited thereto. The computing device  100  may detect Information about a user&#39;s route including a similar route to an initial route based on a result of analyzing information about an initial route. 
     The profile or model of a user&#39;s location, generated by machine learning, may be expressed as cumulative route information (or a cumulative route profile or model) or past route information (or a past route profile or model). The computing device  100  may detect information about a user&#39;s route including a similar route to an initial route based on the cumulative route information or the past route information. 
     When the information about the user&#39;s route including a similar route to an initial route is detected by using the statistical analysis method or the machine learning method (or a machine learning algorithm) described above, the computing device  100  may detect, from among the detected information about the user&#39;s route, information about the rest of the route indicating the predicted route of the user. 
     If a plurality of pieces of information about the user&#39;s route are detected by the computing device  100 , the computing device  100  may select information about the user&#39;s route that is most frequently used, from among the detected plurality of piece of information about the user&#39;s route, as the information about the user&#39;s route. 
     The plurality of pieces of information about the user&#39;s route may include information about a route that is the same as an initial route and different rest of the routes. For example, if information about an initial route is “point A→point B (or from point A to point B),” the plurality of pieces of information about the user&#39;s route may include information about a user&#39;s first route which is “point A→point B→point C,” information about a user&#39;s second route which is “point A→point B→point D→point E,” and information about a user&#39;s third route which is “point A→point B→point F→point E.” 
     If the number of times of using the information about the user&#39;s second route is the greatest among the information about the first through third routes of the user, the computing device  100  may select the information about the user&#39;s second route as the information about the user&#39;s route with respect to an initial route. When the information about the user&#39;s second route is selected, the computing device  100  may detect “point B→point F→point E” as information about a user&#39;s predicted route. 
     When the information about the user&#39;s predicted route is detected, the computing device  100  provides the user with a user&#39;s predicted route, in operation S 205 . The computing device  100  may provide the user&#39;s predicted route that extends from an initial route, as shown on the screen  120  of  FIG. 1 . 
     When detecting the information indicating the predicted route of the user by using an external device, the methods performed by the computing device  100  described above may be used. 
       FIG. 3  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. In the method  FIG. 3 , a function of tracking a user&#39;s route to a destination point is added to an exemplary embodiment of  FIG. 2 . 
     Operations S 301  through S 305  of  FIG. 3  are respectively similar to operations S 201  through S 205  of  FIG. 2 , and thus description thereof will be omitted below. 
     In operation S 306 , the computing device  100  tracks a user&#39;s location from a current point  102  to a destination point  105 . The destination point  105  is based on the predicted route  104  of the user. When tracking a user&#39;s location, the computing device  100  may variably control an interval of measuring a user&#39;s location based on at least one of a movement speed of the user, surrounding environment information of the user, and/or the predicted route  104  of the user. In particular, the computing device  100  may determine a next location measurement time (or a next location measurement point) based on the predicted route  104  of the user. Based on the tracking of the user&#39;s location described above, battery consumption of the computing device  100  may be reduced. 
     In operation S 307 , the computing device  100  may update the user location history information based on information about the tracked user&#39;s location. 
       FIG. 4  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. Based on the method of  FIG. 4 , personalized information may be provided according to number of uses (or a usage count) of a user&#39;s predicted route. 
     Operations S 401  through S 404  of  FIG. 4  are respectively similar to operations S 201  through S 204  of  FIG. 2 , and thus description thereof will be omitted below. 
     When providing information indicating the predicted route  104  of the user in operation S 405 , the computing device  100  may provide different interest information based on the usage count of the predicted route  104  of the user. The information indicating the predicted route  104  of the user may include information regarding the usage count of the predicted route  104  of the user. Different interest information may include a theme item, but is not limited thereto. For example, the computing device  100  may provide different user activities (or user mode) according to the usage count of the predicted route  104  of the user. 
       FIG. 5  illustrates an example of a screen for providing different interest information based on the usage count included in information indicating the predicted route  104  of the user. A screen  510  of  FIG. 5  shows an example in a case that the usage count of the predicted route  104  is n. A screen  520  of  FIG. 2  illustrates an example in a case that the usage count of the predicted route  104  is m, in which n and m are natural numbers equal to or greater than 1. For example, n may be 2, and m may be 10. 
     The screen  510  of  FIG. 5  provides points of interest A 1 , A 2 , and A 3 . The screen  520  of  FIG. 5  provides points of interest B 1 , B 2 , B 3 , and B 4 . The points of interest A 1 , A 2 , and A 3  may be information based on different content types (e.g., a restaurant, a gas station, or a shopping mall), different theme items, or different user activities. The points of interest B 1 , B 2 , B 3 , and B 4  may be information based on the different content types, the different theme items, or the different user activities. 
     The computing device  100  may change information about the points of interest A 1 , A 2 , A 3 , B 1 , B 2 , B 3 , and B 4  according to a user input. A user input may include, without limitation, for example, information about a desired point of interest. For example, a user input may include a request for changing a point of interest. 
     The computing device  100  may provide interest information as shown on the screen  510  and the screen  520  based on the usage count and information about a user included in the information indicating the predicted route  104  of the user. 
       FIG. 6  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. The method of  FIG. 6  is an example of providing personalized information depending on whether the predicted route  104  based on an initial route is detected from the user location history information. 
     Operations S 601  through S 604  of  FIG. 6  are respectively similar to operations S 201  through S 204  of  FIG. 2 , and thus description thereof will be omitted below. 
     In operation S 605 , the computing device  100  determines whether information indicating the predicted route  104  based on the initial route  103  is detected from the user location history information. As a result of the determination, if the information indicating the predicted route  104  is detected from the user location history information, the computing device  100  provides information indicating the predicted route  104  in operation S 606 , like in operation S 205 . 
     If information indicating the predicted route is not detected from the user location history information in operation S 605 , the computing device  100  tracks a user&#39;s location in operation S 607 . The computing device  100  may track a user&#39;s location as in operation S 202  described above. If information indicating the predicted route  104  is not detected from the user location history information, the initial route  103  may be an unusual route for the user. The unusual route may be based on unusual events (e.g., travel, new destination, party). 
     In operation S 608 , the computing device  100  may provide the information about the tracked user&#39;s location and update the user location history information based on the information about the tracked user&#39;s location. 
       FIG. 7  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 7  illustrates an example where there is a region where the movement of people is active at a current time based on the predicted route  104 .  FIG. 7  is an operational flowchart based on the computing device  100  and a server  700 . 
     Operations S 701  through S 705  of  FIG. 7  are respectively similar to operations S 201  through S 205  of  FIG. 2 , and thus description thereof will be omitted below. 
     In operation S 706 , the server  700  collects information about a region where movement of people is active at a current time (or a region with a large floating population). The server  700  may include an external device such as a location information collecting server or a personalized information providing server, but is not limited thereto. 
     The server  700  may collect information about a region where movement of people is active at a current time based on a preset number of people, but is not limited thereto. For example, the server may collect information of top ten regions with active movement of people at a current time for each administrative region (e.g., Maetandong of Suwon City). The information about the region may be expressed as location information (or coordinates information). The preset number of people and the top ten for each administrative region described above may be included in a first parameter that is used to collect the information about the region where movement of people is active at a current time. Information included in the first parameter is not limited thereto. 
     In operation S 707 , the computing device  100  requests from the server  700  information about a region where movement of people is active at a current time. In operation S 708 , the server  700  transmits the collected information about a region where movement of people is active at a current time, to the computing device  100 . 
     In operation S 709 , the computing device  100  receives the information about a region where movement of people is active at a current time. In operation S 710 , the computing device  100  detects information about a region adjacent to the predicted route  104  from the information about a region where movement of people is active at a current time, by using a second parameter. 
       FIG. 8  illustrates an example of providing information about regions C 1 , C 2 , and C 3  adjacent to the predicted route  104 . In operation S 710 , to detect the adjacent regions C 1 , C 2 , and C 3  as shown in  FIG. 8 , the computing device  100  may use the second parameter which includes distance information and number information. Information included in the second parameter is not limited thereto. 
     The distance information may include, for example, information such as 100 m or 200 m. If the distance information is 100 m, the computing device  100  may detect information about a region within 100 m with respect to the predicted route  104 . The number information may refer to a number of regions and may include integers such as 2, 3, or 4. If the number information is 3, the computing device  100  may detect information about three regions adjacent to the predicted route  104 . 
     When using both distance information of 100 m and number information of 3, the computing device  100  may detect information about three regions within 100 m with respect to the predicted route  104 . Information included in the first and second parameters may be set in advance. Information included in the second parameter may be input by a user. Information included in the second parameter may be selectively used by a user. 
     In operation S 711 , the computing device  100  provides the detected regional information as shown in  FIG. 8 . In  FIG. 8 , number information included in the second parameter is 3. If number information included in the second parameter is 2, the computing device  100  may provide information about the adjacent regions C 1  and C 2 . If number information included in the second parameter is 1, the computing device  100  may provide information about the adjacent region C 3 . 
     Sizes of the adjacent regions C 1 , C 2 , and C 3  may be determined based on the number of people. Referring to  FIG. 8 , an amount of movement of people is large in an order of C 3 , C 1 , and C 2 . The adjacent regions C 1 , C 2 , and C 3  are expressed as circles, but are not limited thereto. For example, the adjacent regions C 1 , C 2 , and C 3  may be expressed as squares or triangles. The distance information included in the second parameter may be a distance between a center point of the adjacent regions C 1 , C 2 , and C 3  and a boundary line of the predicted route  104 , but is not limited thereto. The boundary line of the predicted route  104  denotes a boundary line of the predicted route  104  adjacent to the side of the adjacent regions C 1 , C 2 , and C 3 . For example, in a case of the adjacent region C 1 , the boundary line of the predicted route  104  is the right side boundary line of the predicted route  104 . 
       FIG. 9  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 9  shows another example of providing information about a region where movement of people is active at a current time based on the predicted route  104 .  FIG. 9  is an operational flowchart based on the computing device  100  and the server  700 . 
     Operations S 901  through S 906  of  FIG. 9  are respectively similar to operations S 701  through S 706  of  FIG. 7 , and thus description thereof will be omitted below. 
     In operation S 907 , the computing device  100  requests regional information from the server  700 . When requesting the regional information, the computing device  100  may transmit information indicating the predicted route  104  detected in operation S 904  to the server  700 . In operation S 907 , the computing device  100  may further transmit the second parameter to the server  700 . The second parameter may include a current time. 
     In operation S 908 , the server  700  may detect information about a region adjacent to the predicted route  104  from the information about a region where movement of people is active at a current time, collected in operation S 906 , by using at least one of the received information indicating the predicted route  104  and the second parameter. The server  700  may set the second parameter in advance, and may use the second parameter when detecting information about adjacent regions by using the received information indicating the predicted route  104 . 
     In operation S 909 , the server  700  transmits information about the regions C 1 , C 2 , and C 3  adjacent to the predicted route  104  to the computing device  100 . In operation S 910 , the computing device  100  provides the received information about the adjacent regions C 1 , C 2 , and C 3  as illustrated in  FIG. 8 . 
       FIG. 10  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 10  shows an example of providing information about a region where movement of people is active at a current time and information about a point of interest at a current time based on the predicted route  104 .  FIG. 10  is an operational flowchart based on the computing device  100  and the server  700 . 
     Operations S 1001  through S 1006  of  FIG. 10  are respectively similar to operations S 901  through S 906  of  FIG. 9 , and thus description thereof will be omitted below. 
     In operation S 1007 , the server  700  detects information about a point of interest included in a region where movement of people is active at a current time. The information about the point of interest may be determined based on information about a user. 
     In operation S 1008 , the computing device  100  requests regional information and information about the point of interest from the server  700 . In operation S 1009 , the server  700  transmits to the computing device  100  the regional information collected in operation S 1006  and the information about the point of interest included in each region, detected in operation S 1007 . 
     In operation S 1010 , the computing device  100  detects information about a region adjacent to the predicted route  104  from the received regional information. In operation S 1011 , the computing device  100  provides the detected adjacent regional information and information about the point of interest included in the detected adjacent region. 
       FIG. 11  illustrates an example of providing the adjacent regional information and information about a point of interest included in the adjacent regional information provided by a computing device in operation S 1011 . Referring to  FIG. 11 , the computing device  100  provides information about the regions C 1 , C 2 , and C 3  that are adjacent to the predicted route  104  and points of interest C 1 - 1 , C 1 - 2 , C 1 - 3 , C 1 - 4 , C 2 - 1 , C 3 - 1 , C 3 - 2 , C 3 - 3 , and C 3 - 4  included in the adjacent regions C 1 , C 2 , and C 3 . The adjacent regions C 1 , C 2 , and C 3  are regions where movement of people is active at a current time. 
     Referring to  FIG. 11 , the number of points of interest included in the adjacent regions C 1 , C 2 , and C 3  may be different according to the adjacent regions C 1 , C 2 , and C 3 . Referring to  FIG. 11 , the computing device  100  provides information regarding the most number of points of interest C 3 - 1 , C 3 - 2 , C 3 - 3 , and C 3 - 4 , in the region C 3 . While the number of points of interest may be different according to sizes of the adjacent regions C 1 , C 2 , and C 3 , the number of points of interest may also be provided regardless of the sizes of the adjacent regions C 1 , C 2 , and C 3 . For example, less points of interest may be included in the adjacent region C 3  than the adjacent regions C 1  and C 2 . 
     The computing device  100  may change information about points of interest included in the adjacent regions C 1 , C 2 , and C 3  based on the set information about points of interest. The computing device  100  may set or change information about points of interest included in the adjacent regions C 1 , C 2 , and C 3  based on information about a user or according to a user input. 
     Although the computing device  100  provides information about a point of interest based on information about a user, information about a point of interest provided by the computing device  100  is not limited thereto. 
     For example, in operation S 1008 , the computing device  100  may request from the server  700  information about a point of interest of another user. The another user may be a user who allowed information to be provided about a point of interest of his or her own to the user of the computing device  100 . In operation S 1008 , when information about a point of interest of another user is requested, the computing device  100  may transmit identification information (e.g., a name, or a telephone number) of another user to the server  700 . 
     To provide information about a point of interest of another user, the server  700  may detect not only information about a point of interest based on information about the user of the computing device  100  but also information about a point of interest based on information about another user in operation S 1007 . 
     In operation S 1009 , the server  700  transmits the information about the point of interest of another user to the computing device  100 . In operation S 1011 , the computing device  100  may provide information about the point of interest of the another user included in a detected adjacent region. 
     When there are multiple another users, the computing device  100  may further provide identification information of a user corresponding to information about a point of interest so as to intuitively identify the information about the point of interest for each user in operation S 1011 . A method of intuitively identifying information about a point of interest of each user is not limited thereto. For example, the computing device  100  may provide information about a point of interest of each user in different colors or shapes, and provide guide information (e.g., a legend) about the colors or shapes corresponding to the respective users. 
       FIG. 12  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 12  shows an example of changing information about a point of interest included in a region adjacent to the predicted route  104 .  FIG. 12  is an operational flowchart based on the computing device  100  and the server  700 . 
     Operations S 1201  through S 1211  of  FIG. 12  are respectively similar to operations S 1001  through S 1011  of  FIG. 10 , and thus description thereof will be omitted below. 
     When personalized information as illustrated in  FIG. 11  is provided in operation S 1211 , and when a request for changing a point of interest is received in operation S 1212 , the computing device  100  may change information about points of interest C 1 - 1 , C 1 - 2 , C 1 - 3 , C 1 - 4 , C 2 - 1 , C 3 - 1 , C 3 - 2 , C 3 - 3 , and C 3 - 4  included in the adjacent regions C 1 , C 2 , and C 3  to information about points of interest C 1 - 4 , C 1 - 5 , C 1 - 6 , C 2 - 2 , C 2 - 3 , and C 3 - 5 , as illustrated in  FIG. 13  in operation S 1213 .  FIG. 13  illustrates an example of providing information about adjacent regions and information about a point of interest included in the adjacent region, provided by the computing device  100 . 
     The request for changing a point of interest may be received based on, for example, a point of interest toggle item  1101  or a point of interest information setting item  1102  illustrated in  FIGS. 11 and 13 , but is not limited thereto. 
     The point of interest toggle item  1101  is an item used to change a type of a point of interest. A type of a point of interest may be classified as, for example, a park, a restaurant (Korean, Chinese, Japanese, etc.), a shopping mall, or an exhibition hall, etc. At least one type of point of interest that is registered to the point of interest toggle item  1101  may be automatically set based on information about a point of interest included in information about a user or may be set by a user. 
     At least one piece of information about a point of interest may be registered to the point of interest toggle item  1101 . For example, if four pieces of information about a point of interest are registered to the point of interest toggle item  1101 , every time the point of interest toggle item  1101  is toggled, the computing device  100  may sequentially toggle through four types of points of interest via the adjacent regions C 1 , C 2 , and C 3 . 
     For example, if the information about the points of interest C 1 - 1 , C 1 - 2 , C 1 - 3 , C 1 - 4 , C 2 - 1 , C 3 - 1 , C 3 - 2 , C 3 - 3 , and C 3 - 4  included in the adjacent regions C 1 , C 2 , and C 3  in  FIG. 11  is information about a point of interest of a first type (e.g., Korean restaurant), and the point of interest toggle item  1101  is toggled, the computing device  100  may change the information about the point of interest of the first type (e.g., Korean restaurant) included in the adjacent regions C 1 , C 2 , and C 3  to information about a point of interest of a second type (e.g., shopping mall). Accordingly, the computing device  100  may provide the information about points of interest C 1 - 4 , C 1 - 5 , C 1 - 6 , C 2 - 2 , C 2 - 3 , and C 3 - 5  as illustrated in  FIG. 13  via the adjacent regions C 1 , C 2 , and C 3 . 
     If the information about a point of interest of the second type (e.g., shopping mall) is provided, and the point of interest toggle item  1101  is toggled, the computing device  100  may change the information about the point of interest of the second type (e.g., shopping mall) included in the adjacent regions C 1 , C 2 , and C 3  to information about a point of interest of a third type (e.g., Chinese restaurant). 
     If the information about a point of interest of the third type (e.g., Chinese restaurant) is provided, and the point of interest toggle item  1101  is toggled, the computing device  100  may change the information about the point of interest of the third type (e.g., Chinese restaurant) included in the adjacent regions C 1 , C 2 , and C 3  to information about a point of interest of a fourth type (e.g., bakery). 
     If the information about a point of interest of the fourth type (e.g., bakery) is provided, and the point of interest toggle item  1101  is toggled, the computing device  100  may change the information about the point of interest of the fourth type (e.g., bakery) included in the adjacent regions C 1 , C 2 , and C 3  to information about a point of interest of the first type (e.g., Korean restaurant). 
     If information about points of interest included in the adjacent regions C 1 , C 2 , and C 3  is provided as illustrated in  FIG. 11 , the computing device  100  may change the information about points of interest included in the adjacent regions C 1 , C 2 , and C 3  according to a user input by using the point of interest information setting item  1102 . 
     A user input received by using the point of interest information setting item  1102  may include at least one of a touch-based input, a user voice input, a proximity touch-based input, and a user gesture based input. A user input received by using the point of interest information setting item  1102  may be expressed as a selection or control of the point of interest information setting item  1102 . 
     When the point of interest information setting item  1102  is controlled, the computing device  100  may provide a screen as illustrated in  FIG. 14 .  FIG. 14  illustrates an example of a screen including a list  1410  of searchable points of interest. Information about points of interest included in the list  1410  of searchable points of interest (hereinafter, it will be referenced to as the list  1410 ) illustrated in  FIG. 14  may be similar to information included in a theme item. 
     When a user input selecting a Scenic item  1411 , a Cultural item  1412 , and a Mingling item  1413  is received based on the list  1410 , and a Complete button  1420  is selected, the computing device  100  may provide information about points of interest (the Scenic item  1411 , the Cultural item  1412 , and the Mingling item  1413 ) selected from the adjacent regions C 1 , C 2 , and C 3 . The Mingling item  1413  indicates points (or places) where people frequently gather together. 
     In  FIG. 14 , when a user input selecting the Scenic item  1411 , the Cultural item  1412 , and the Mingling item  1413  is received based on the list  1410 , and a reset button  1430  is selected, the computing device  100  may reset information about selected points of interest. As the information about selected points of interest is reset, the computing device  100  may provide a screen where a selected state of the Scenic item  1411 , the Cultural item  1412 , and the Mingling item  1413  illustrated in  FIG. 14  is cancelled. 
     Referring to  FIG. 12 , information about points of interest of every type that may be included in a collected region is received in operation S 1209 , and the computing device  100  provides information about some points of interest (e.g., Korean restaurant) included in the adjacent regions C 1 , C 2 , and C 3  in operation S 1211 . Thus, according to a request for changing a point of interest, received in operation S 1212 , the computing device  100  may provide information about other points of interest (e.g., Chinese restaurant), which are not provided in operation S 1211 , in operation S 1213 . 
     When providing all information about points of interest received in operation S 1209  of  FIG. 12 , and when the request for changing a point of interest is received in operation S 1212 , the computing device  100  may transmit a request for changing a point of interest included in a detected region, to the server  700 . The server  700  may provide the computing device  100  with information about a point of interest provided in operation S 1209  (e.g., Korean restaurant or Chinese restaurant) and information about other points of interest (e.g., shopping mall) from among information about points of interest included in the detected region. 
     The server  700  may determine information about the other points of interest, based on information about a user, but is not limited thereto. For example, the server  700  may receive the information about the other points of interest (e.g., shopping mall) from the computing device  100  upon receiving a request for changing a point of interest from the computing device  100 . 
     When receiving information indicating other points of interest from the computing device  100 , the server  700  may detect information related to other points of interest from the points of interest detected in operation S 1207 , but is not limited thereto. For example, when receiving information about other points of interest from the computing device  100 , the server  700  may perform operation S 1207  again to detect information about other points of interest included in the collected region. When information about other points of interest is detected, the server  700  transmits the detected information about the other points of interest to the computing device  100 . 
       FIG. 15  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 15  shows an example of providing information about a point of interest based on a point (or a specially-designated point) on the predicted route  104 . 
     Operations S 1501  through S 1505  of  FIG. 15  are respectively similar to operations S 201  through S 205  of  FIG. 2 , and thus description thereof will be omitted below. 
     In operation S 1506 , the server  700  collects information about points of interest of a user in each region based on information about a user. 
     In operation S 1505 , when the screen  120  of  FIG. 1  is provided by the computing device  100 , and a request for information about a point of interest based on the point is received in operation S 1507 , the computing device  100  requests information about the point of interest based on the point to the server  700  in operation S 1508 . The information about the point of interest based on the point may include, for example, information about a point of interest located within 100 m from the point, but is not limited thereto. 100 m may be included in condition information (or parameter) used to provide information about a point of interest based on the point. The condition information may be preset or set by the user. 
     The point includes at least one point on the predicted route  104 . The point may include, for example, the current point  102  and the destination point  105  on the predicted route  104 , but is not limited thereto. 
     The request for information about a point of interest based on a predetermined point may be input as a touch-based user input, but is not limited thereto. For example, the request for the information about the point of interest based on the point may include a user voice input (e.g., point A) indicating the point. A user input or a user voice input requesting information about a point of interest based on the point may include an input designating a particular one point on the predicted route  104 . 
     For example, when the screen  120  of  FIG. 1  is provided by the computing device  100  in operation S 1505 , when a user input indicating a request for information about a point of interest based on the current point  102  is received in operation S 1507 , the computing device  100  transmits the request for information about the point of interest to the server  700  in operation S 1508 . 
     In operation S 1509 , the server  700  detects information about a point of interest based on the point from among the information about points of interest collected in operation S 1506 . In operation S 1510 , the computing device  100  transmits the detected information about the point of interest based on the point, to the computing device  100 . 
     In operation S 1511 , the computing device  100  provides the information about the point of interest based on the point. When the point is the current point  102 , the computing device  100  may provide a screen illustrated in  FIG. 16A  in operation S 1511 .  FIG. 16A  illustrates an example of a screen providing information about a point of interest based on the current point  102  on the predicted route  104 . 
     When the screen  120  of  FIG. 1  is provided by the computing device  100  in operation S 1505 , and the point requested in operation S 1507  is the destination point  105 , the computing device  100  may provide a screen illustrated in  FIG. 16B  in operation S 1511 .  FIG. 16B  illustrates an example of a screen providing information about a point of interest based on the destination point  105  on the predicted route  104 . 
     When the screen  120  of  FIG. 1  is provided by the computing device  100  in operation S 1505 , and the point requested in operation S 1507  is the current point  102  and the destination point  105 , the computing device  100  may provide a screen illustrated in  FIG. 16C  in operation S 1511 .  FIG. 16C  illustrates an example of a screen providing information about a point of interest based on the current point  102  and the destination point  105  on the predicted route  104 . 
       FIG. 17  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 17  illustrates an example of changing information about a point of interest based on a point (or a specially-designated point) on the predicted route  104 . 
     Operations S 1701  through S 1711  of  FIG. 7  are respectively similar to operations S 1501  through S 1511  of  FIG. 15 , and thus description thereof will be omitted below. 
     In operation S 1711  of  FIG. 17 , when one of the screens of  FIGS. 16A through 16C  is provided by the computing device  100 , and a request for changing information about a point of interest is received in operation S 1712 , the computing device  100  changes the information about the point of interest based on the point in operation S 1713 . 
     For example, when information about a point of interest is provided as illustrated in  FIG. 16A  in operation S 1711 , and the point of interest toggle item  1101  is toggled in operation S 1712 , the computing device  100  may change the information about the point of interest (e.g., an exhibition hall) provided based on the current point  102  illustrated in  FIG. 16A  to information about another point of interest (e.g., a shopping mall) in operation S 1713 . 
     When information about a point of interest is provided as illustrated in  FIG. 16B  in operation S 1711 , and the point of interest toggle item  1101  is toggled in operation S 1712 , the computing device  100  may change the information about the point of interest (e.g., Korean restaurant) provided based on the destination point  105  illustrated in  FIG. 16B  to information about another point of interest (e.g., Chinese restaurant) in operation S 1713 . 
     When information about a point of interest is provided as illustrated in  FIG. 16C  in operation S 1711 , and the point of interest toggle item  1101  is toggled in operation S 1712 , the computing device  100  may change the information about the point of interest (e.g., a gas station) provided based on the current point  102  and the destination point  105  illustrated in  FIG. 16C  to information about another point of interest (e.g., a vehicle maintenance shop) in operation S 1713 . 
     Referring to  FIG. 17 , not all information received in operation S 1710  about points of interest based on the point is provided by the computing device  100  in operation S 1711 . The computing device  100  may provide information about a point of interest according to priority from among the received information about the points of interest based on the point. The priority may be determined based on the number of points of interest based on the point, but is not limited thereto. The priority may be determined based on information about a user. 
     When a request for changing a point of interest is received in operation S 1712 , the computing device  100  may change the information from information about the point of interest based on the point to information about another point of interest, according to the priority of the information about points of interest received in operation S 1710 . 
     If the computing device  100  has provided all of the information about the points of interest based on the point received in operation S 1710 , in operation S 1711 , then operations S 1712  and S 1713  of  FIG. 17  may be modified such that the information about the points of interest based on the point is changed based on communication between the computing device  100  and the server  700 . 
     For example, when the request for changing information about a point of interest is received in operation S 1712 , the computing device  100  transmits the request for changing information about a point of interest based on the point to the server  700 . The server  700  detects information about another point of interest that is different from the information about a point of interest based on the point, from the information about points of interest collected in operation S 1706 . The server  700  transmits the detected information about another point of interest to the computing device  100 . The computing device  100  may change the information about the point of interest based on the point to the received information about another point of interest. 
     When the request for changing the point of interest is transmitted from the computing device  100  to the server  700 , the computing device  100  may transmit information related to another point of interest (type information of point of interest) to the server  700  but is not limited thereto. For example, the server  700  determines a priority regarding a type of point of interest with respect to a user, based on information about a user. The server  700  may detect information about a point of interest based on the point from the information about points of interest collected in operation S 1706 , according to the determined priority and transmit the same to the computing device  100 . 
     While  FIGS. 7, 9, 10, 12, 15, and 17  illustrate operational flowcharts based on communication between the computing device  100  and the server  700 , the methods may also be performed only by the computing device  100 , without involvement of the server  700  based on a function of the computing device  100 . 
     Information about a point of interest described with reference to  FIGS. 10 through 17  may be detected by further considering place profile information. The information about a point of interest described with reference to  FIGS. 10 through 17  may include information recommending content based on place profile information and information about a user, as detailed information. For example, when information about a point of interest is selected according to a user input, the information recommending content provided at the selected point of interest may be provided through an additional window (e.g., a popup window), but is not limited thereto. For example, the content recommendation information may be provided as at least one of a map form and a notification form. The content may refer to content described with reference to exemplary embodiments of theme items to be described later. 
       FIG. 18  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. Referring to  FIG. 18 , after the predicted route  104  is provided, information about a point of interest is provided according to a received notification message. 
     Operations S 1801  through S 1805  of  FIG. 18  are respectively similar to operations S 201  through S 205  of  FIG. 2 , and thus description thereof will be omitted below. 
     In operation S 1805  of  FIG. 18 , when providing information indicating the predicted route  104  as shown on the screen  120  of  FIG. 1 , and a context for transmitting a notification message occurs in a car  1800  in operation S 1806 , the car  1800  transmits a notification message to the computing device  100  in operation S 1807 . The car  1800  is a device connected to the computing device  100 . 
     The context for transmitting a notification message may include, for example, a battery replacing context or refueling context, but is not limited thereto. The above-described contexts may be detected by using a sensor or the like included in the car  1800 . 
     When a notification message is received, the computing device  100  provides information about a point of interest that is adjacent to the predicted route  104 , from among points of interest related to the notification message, in operation S 1808 . 
     For example, if a notification message notifies battery replacement of the car  1800 , the computing device  100  may provide information about a vehicle battery replacement center (or car maintenance shop) located near the predicted route  104  in operation S 1808 . If a notification message notifies refueling of the car  1800 , the computing device  100  may provide information about a refueling center located near the predicted route  104  in operation S 1808 . 
       FIG. 19  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 19  illustrates an example of providing information about a route of another user and an activity of another user. The another user refers to a person who allowed the user of the computing device  100  to access information about a route of the another user. The another person may be at least one person from among children of the user, parents of the user, etc. who is to be notified of the route of the user. 
     In operation S 1901 , another computing device  1900  transmits a route tracking permission signal to the computing device  100 . In operation S 1902 , the other computing device  1900  tracks a location of a user of the other computing device  1900  and detects a user activity of the user of the other computing device  1900 . The other computing device  1900  may be a device such as the computing device  100  described with reference to  FIG. 1 . Tracking of the user&#39;s location may be performed as described with reference to operation S 202  of  FIG. 2  and as described with reference to  FIG. 1 . The tracking of the user&#39;s location may be performed by using a sensor, a GPS receiver, a network location information receiver included in the other computing device  1900 , or an IoT sensor that is not included in the another computing device  1900 , but is not limited thereto. 
     In operation S 1903 , the other computing device  1900  transmits the detected user location information and the detected information about the user activity to the computing device  100 . 
     In operation S 1904 , the computing device  100  obtains information about an initial route of the user of the other computing device  1900  based on the received user location information and the received user activity information. The information about the initial route may be obtained in the same manner as in operations S 202  and S 203  of  FIG. 2 . 
     In operation S 1905 , the computing device  100  detects information about a predicted route of the user of the other computing device  1900  from user location history information of the user of the other computing device  1900  based on the obtained information about the initial route. The user location history information of the user of the another computing device  1900  may be stored in the computing device  100  or in an external device such as a home sync, synchronized with the computing device  100 , or in the another computing device  1900 . 
     The computing device  100  may set a connection to another device in operation S 1905  according to a location of where the user location history information of the user of the other computing device  1900  is stored. For example, if the user location history information of the user of the other computing device  1900  is stored in a home sync, the computing device  100  may set a connection to the home sync while being connected to the another computing device  1900 . When connected to the home sync, the computing device  100  may read user location history information from the home sync or request information indicating the predicted route of the user from the home sync. 
     In operation S 1906 , the computing device  100  provides information indicating the predicted route of the user of the other computing device  1900  and information about the user activity of the user of the other computing device  1900  together. The information about the user activity may be information about user modes described above, and may be displayed on the predicted route. Thus, the user of the computing device  100  may be aware of a location of the user of the other computing device  1900  and user activity information of the user of the other computing device  1900  at each location. 
       FIG. 20  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 20  is an example of providing routes of the user of the computing device  100  and the user of another computing device  2000  together. 
     The user of the other computing device  2000  refers to a person who allowed the user of the computing device  100  to access information about a route of the user of the other computing device  2000 . The other computing device  2000  may be the same device as the other computing device  1900  illustrated in  FIG. 19 , but is not limited thereto. 
     In operation S 2001  and S 2002 , the other computing device  2000  obtains information about an initial route of the user of the other device  2000  in the same manner as operation S 202  and S 203 . Operation S 2001  may include a function of determining whether the user&#39;s location is moved, performed in operation S 201  of  FIG. 2 . 
     In operations S 2003  and S 2004 , the computing device  100  obtains information about an initial route of the user of the computing device  100  in the same manner as operation S 202  and S 203  of  FIG. 2 . Operations S 2003  may include a function of determining whether the user&#39;s location is moved, performed in operation S 201  of  FIG. 2 . 
     In operation S 2005 , the computing device  100  transmits to the other computing device  2000  a signal requesting to provide a route regarding the user of the other computing device  2000 . When the user of the other computing device  2000  agrees to the request for proving a route, the other computing device  2000  transmits the information about the user&#39;s route obtained up to a current time, to the computing device  100  in operation S 2006 . In operation S 2006 , the other computing device  2000  may transmit a message notifying that access to information about routes is allowed. 
     In operation S 2007 , the computing device  100  provides information about the initial route of the user of the other device  2000  and information about the initial route of the user of the computing device  100 .  FIG. 21  illustrates examples of a screen that may be provided according to the flowchart of  FIG. 20 . In operation S 2007 , the computing device  100  may provide a screen  2110  of  FIG. 21 . 
     Referring to the screen  2110  of  FIG. 21 , a starting point  2111 , a current point  2112 , and an initial route  2113  of the user of the another computing device  2000 , and the starting point  101 , the current point  102 , and the initial route  103  of the user of the computing device  100  are provided together. 
     In operation S 2008 , the computing device  100  detects information indicating the predicted route of the user of the computing device  100 . Operation S 2008  may be performed in a similar manner to operation S 204  of  FIG. 2 . 
     In operation S 2009 , the other computing device  2000  detects information indicating the predicted route of the user of the other computing device  2000 . Operation S 2009  may be performed in a similar manner as operation S 204 . 
     In operation S 2010 , the other computing device  2000  transmits information indicating the predicted route detected in operation S 2009  to the computing device  100 . Accordingly, in operation  2011 , the computing device  100  may provide a screen  2120  of  FIG. 21 . 
     Referring to the screen  2120  of  FIG. 21 , the computing device  100  provides information about a starting point  101 , a current point  102 , an initial route  103 , a predicted route  104 , and a destination point  105  of the user of the computing device  100 , a current point  2112 , an initial route  2113 , a predicted route  2121  of the user of the another computing device  20 , and the destination point  105  which is the same as that of the user of the computing device  100 . 
     In operation S 2012 , the computing device  100  tracks a location of the user of the computing device  100 . In operation S 2013 , the other computing device  2000  tracks a location of the user of the another computing device  2000 , and transmits user location tracking information to the computing device  100  in operation S 2014 . 
     In operation S 2015 , the computing device  100  provides the location information of the user of the computing device  100  tracked by the computing device  100  and the information about the location of the user of the other computing device  2000  tracked by the other computing device  2000 . Information about the predicted routes  104  and  2121  and information about the current points  102  and  2112  provided through the screen  2120  of  FIG. 21  may be changed according to the above user location information. 
     According to the operational flowchart illustrated in  FIG. 20 , the user of the computing device  100  may check a moving state of the user of the other computing device  2000  which is heading towards the destination point  105  which is the same as that of the user of the computing device  100 . 
     While the information about a route of the user of the computing device  100  and the information about a route of the user of the other computing device  2000  may be provided in different colors, a method of distinguishing the routes of the two users is not limited thereto. For example, an image or a text indicating users may be displayed at the current points  101  and  2112 . An image indicating a user may be a face image or an Avatar representing the user, but is not limited thereto. A text indicating a user may include, for example, identification information of the user (e.g., name of the user), but is not limited thereto. 
     In  FIG. 20 , the other computing device  2000  may transmit information about a user&#39;s route to the computing device  100  every time a location of the user of the other computing device  2000  is determined. Thus, the computing device  100  may provide information about moving states of the user of the computing device  100  and the user of the other computing device  2000  in real time. 
     The operational flowchart illustrated in  FIG. 20  may be changed such that routes of the user of the computing device  100  and the user of the other computing device  2000  are provided in real time. 
     Referring to  FIG. 20 , before tracking the location of the user of the computing device  100 , the computing device  100  may transmit a signal requesting to provide a route, to the another computing device  2000 . When a signal agreeing to provide a route is received from the other computing device  2000 , the computing device  100  may provide information location information of the user of the other computing device  2000  provided from the another computing device  2000  and the location information of the user of the computing device  100  together in real time. 
     Although the operational flowchart illustrated in  FIG. 20  is an example of providing a route of the user of the computing device  100  and a route of the user of the other computing device  2000  together, the operational flowchart may be changed such that a route of the user of the computing device  100  and routes of a plurality of other users are provided together. 
     The method illustrated in  FIG. 20  may be changed such that information about a plurality of devices that allowed the user of the computing device  100  to access route information thereof, and a route of at least one selected device among the plurality of devices is provided. When the screen  110  of  FIG. 1  is provided to select at least one of the plurality of devices, the computing device  100  may provide information about a plurality of selectable of devices. The plurality of devices may include devices of persons who are previously registered to the computing device  100 . Persons who are previously registered to the computing device  100  may include persons registered to a phone book or registered as friends of the user of the computing device  100  according to an exemplary embodiment, but are not limited thereto. 
     Recommendation theme items described with reference to  FIGS. 22 through 34  below may be included in information about points of interest described with reference to  FIGS. 4, 10, 12, 15, 17, and 18 . Thus,  FIGS. 23, 27, 29, and 31 through 34  may be included in the operation of detecting information about a point of interest performed in  FIGS. 4, 10, 12, 15, 17, and 18 , but is not limited thereto. 
       FIG. 22  is an example of providing a recommendation theme item based on a geographical location as personalized information. 
     Referring to  FIG. 22 , if content related to a point  2202  marked on a map  2201  is capable of being generated, the computing device  100  may provide recommendation theme items TH 1  through TH 9 . 
     A context where content related to a point  2202  marked on a map  2201  may be generated may include a context where the user of the computing device  100  is close to or at the point  2202 , but exemplary embodiments are not limited thereto. For example, the above context may include a context where a user input pointing to the point  2202  on the map  2201  is received. A close position may be within 50 m from the point  2202 , but is not limited thereto. 
     The recommendation theme items TH 1  through TH 9  may include theme items that are filtered from a plurality of theme items according to a context. For example, if the point  2202  is shop A at Gangnam Station, the recommendation theme items TH 1  through TH 9  may include theme items (e.g., coffee, dating, study, and/or meeting) that are filtered from a plurality of theme items (coffee, bicycle, meeting, dating, movie, drive, exercise, shopping, . . . , (omitted), . . . , study, beauty care, gathering, and/or hiking, etc.). 
     Referring to  FIG. 22 , a screen  2203 , on which the recommendation theme items TH 1  through TH 9  are provided, may include a screen title  2204  (e.g., “GENERATE NEW CONTENT”), a cancel item  2205  for canceling generation of new content, a region  2206  displaying the recommendation theme items TH 1  through TH 9 , and a recommendation theme item selection complete item “Done”  2207 , but is not limited thereto. 
     When a user input selecting the cancel item  2205  for generating new content is selected, the computing device  100  may change the screen  2203  into a previous screen or a home screen or an application screen. 
     After a user input selecting one of the recommendation theme items TH 1  through TH 9  is received, and a user input selecting the recommendation theme item selection complete item (e.g., Done button)  2207  is received, the computing device  100  may provide a screen where new content may be generated. The screen for generating new content may be provided as illustrated in  FIG. 26  which will be described later. 
     The user input selecting the cancel item  2205  for canceling generation of new content, the user input selecting the recommendation theme item TH 1 , and the user input selecting the recommendation theme item selection complete item  2207  may be performed by at least one of a touch-based input, a user gesture based input, and a user voice signal based input, but is not limited thereto. 
       FIG. 23  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 23  illustrates an example where a recommendation theme item is provided as personalized information, according to a user&#39;s request so that content of a selected theme item is generated and registered to the computing device  100 . 
     Referring to  FIG. 23 , when a request for generating content is received by the user of the computing device  100  in operation S 2301 , the computing device  100  obtains context information in operation S 2302 . 
     A request for generating content may be made by at least one of a touch-based input, a user gesture-based input, and a user voice signal-based input, but is not limited thereto. 
     For example, a request for generating content may be received via an existence sensing screen, such as a touch screen. In other words, the computing device  100  may receive a request for generating content by touching or pointing to at least one location on a touch screen by a finger of the user or by using a stylus pen. The location on the touch screen that is touched or pointed may be a location where an item for requesting generation of content is marked or information whereby it is recognized that the touching or pointing indicates a request for generating content. 
       FIG. 24  illustrates an example of a screen illustrating a request for generating content according to an exemplary embodiment. As illustrated in  FIG. 24 , when a point A  2401  on a map  2400  provided by using the computing device  100  is touched by the user as illustrated in  FIG. 24 , the computing device  100  may determine that a request for generating content is received at point A  2401 . A touch by a user may include a long touch, but is not limited thereto. A touch by a user may be preset so as to indicate a request for generating content. 
     In operation S 2302 , the computing device  100  obtains at least one of user-based context information of the user of the computing device  100  and geographical location-based context information. The user-based context information and geographical location-based context information are as described earlier in the present disclosure. 
     The user-based context information may be obtained by using sensors included in the computing device  100 , a GPS receiver, a network location receiver, user history information of the computing device  100 , and/or information about a user. Information used to obtain user-based context information is not limited to the above. Geographical location-based context information may be received and obtained from an external device of the computing device  100 . The external device, for example, may include a place profile information providing server, or a computing device located at a corresponding place. 
     Operation S 2302  may be divided into an operation of obtaining the user-based context information and an operation of obtaining the geographical location-based context information. The obtaining of the user-based context information and the obtaining the geographical location-based context information may be performed simultaneously or sequentially. When the operations are sequentially performed, the order may be set in advance. The preset order may be changed by a user. 
     When the context information is obtained, the computing device  100  detects a recommendation theme item based on the obtained context information in operation S 2303 . 
     For example, the context information obtained in operation S 2302  includes information indicating that the user of the computing device  100  is at shop A at Gangnam Station, and theme items of contents that are mostly generated by the user of the computing device  100  at shop A at Gangnam Station are dating and gathering, and a theme item that is mostly generated at shop A at Gangnam Station is dating, the computing device  100  may detect dating as a recommendation theme item in operation S 2303 . The mostly generated content may indicate content with a high frequency generation. The mostly generated theme item may indicate a theme item with a high frequency generation. 
     In the above example, information indicating that the user is at shop A at Gangnam Station and information about a theme item that is mostly generated by the user at shop A at Gangnam Station may be included in the user-based context information of the computing device  100 . Information about a theme item that is mostly generated by the user at shop A at Gangnam Station may be included in the geographical location-based context information. 
     For example, the context information obtained in operation S 2302  includes information indicating that the user of the computing device  100  is near shop A at Gangnam Station, and theme items of contents that are mostly generated by the user of the computing device  100  at shop A at Gangnam Station are dating and gathering, the computing device  100  may detect dating and gathering as a recommendation theme item in operation S 2303 . 
     For example, the context information obtained in operation S 2302  includes information indicating that theme items of contents that are mostly generated at shop A at Gangnam Station are coffee, dating, and gathering, and theme items of contents preferred by the user of the computing device  100  are coffee, meal, shopping, and game, the computing device  100  may detect coffee as a recommendation theme item in operation S 2303 . 
     In the above example, information about the theme items of the contents preferred by the user of the computing device  100  may be included in the user-based context information of the computing device  100 . 
     A theme item of content that is mostly generated may be set to be detected based on a frequency of generating of content (or the number of generation). For example, if five pieces of content are generated in regard to a theme of coffee, and ten pieces of content are generated in regard to a theme of dating, and 13 pieces of content are generated in regard to a theme of gathering, and two pieces of content are generated in regard to a theme of game, and a reference value is 3, the computing device  100  may detect coffee, dating, and gathering as theme items of content that are mostly generated. 
     The theme items of content that are mostly generated may be set to be detected n pieces of top theme items based on a frequency of generating contents. For example, if five pieces of content are generated in regard to a theme of coffee, and ten pieces of content are generated in regard to a theme of dating, and 13 pieces of content are generated in regard to a theme of gathering, and two pieces of content are generated in regard to a theme of game, and n is 2, the computing device  100  may detect gathering and dating as theme items of content that are mostly generated. 
     In operation S 2304 , the computing device  100  provides the detected recommendation theme item. A recommendation theme item may be provided as shown on a screen  2203  illustrated in  FIG. 22 , but exemplary embodiments are not limited thereto.  FIG. 25  illustrates an example of a display of a recommendation theme item according to an exemplary embodiment.  FIG. 25  illustrates that recommendation theme items are provided as a list  2500 . 
     In operation S 2305 , the computing device  100  receives a selection signal selecting a theme item. A selection signal indicates a user input indicating a selection. The screen  2203  illustrated in  FIG. 22  and  FIG. 25  show an example where a selection signal selecting a theme item TH 1  is received. 
     In operation S 2306 , the computing device  100  generates and registers content. In operation S 2305 , when a selection signal selecting a theme item is received, the computing device  100  may provide an input window  2600  for generating new content as illustrated in  FIG. 26 .  FIG. 26  illustrates an example of a screen including the input window  2600  for generating new content according to an exemplary embodiment. 
     Referring to  FIG. 26 , the input window  2600  may include a display window  2601  displaying a selected theme item  2602 , a title input window  2603  of the selected theme item  2602 , a picture input window  2604  related to the selected theme item  2602 , a video input window  2605  related to the selected theme item  2602 , an audio input window  2606  related to the selected theme item  2602 , a text input window  2607  related to the selected theme item  2602 , and an item  2608  for requesting sharing of new content including input information, but is not limited to the setup of  FIG. 26 . 
     When one of the input windows  2603  through  2607  included in the input window  2600  is selected, the computing device  100  may provide a window (e.g., a virtual keyboard) for inputting information according to type of inputtable information, but is not limited thereto. For example, when one of the input windows  2603  through  2607  is selected, the computing device  100  may provide a window for requesting execution of a related application. When one of the input windows  2603  through  2607  is selected, the computing device  100  may execute a related application. 
     For example, when the picture input window  2604  is selected, the computing device  100  may provide a window for requesting execution of an album application or a camera application. When the picture (e.g., photo) input window  2604  is selected, the computing device  100  may execute a camera application to immediately execute a photographing mode. An operation of the computing device  100  according to selection of the picture input window  2604  may be set or changed by using an environment setup menu. 
     When the video input window  2605  is selected, the computing device  100  may provide a window for requesting execution of a video application or a camera application. When the video input window  2605  is selected, the computing device  100  may execute a video application to provide a screen for selecting a video that is managed. When the video input window  2605  is selected, the computing device  100  may execute a camera application to immediately execute a video photographing mode. An operation of the computing device  100  according to selection of the video input window  2605  may be set or changed by using an environment setup menu. 
     When the voice input window  2606  is selected, the computing device  100  may provide a window for requesting execution of a voice recording application. When the voice input window  2606  is selected, the computing device  100  may execute a voice recording application to immediately perform recording. An operation of the computing device  100  according to selection of the voice input window  2606  may be set or changed by using an environment setup menu. 
     When the text input window  2607  is selected, the computing device  100  may provide a window for requesting execution of a virtual keyboard or a pen input. When the text input window  2607  is selected, the computing device  100  may execute a virtual keyboard. When the text input window  2607  is selected, the computing device  100  may execute a pen input. An operation of the computing device  100  according to selection of the text input window  2607  may be set or changed by using an environment setup menu. 
     In operation S 2306 , the computing device  100  may register new content generated by mapping geographical location information and information about generated content. 
       FIG. 27  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 27  illustrates an example where, regardless of whether a request for generating content is received, a recommendation theme item may be provided according to geographical location as a notification as personalized information, and new content generated according to the provided recommendation theme item may be registered. 
     Operations S 2701 , S 2702 , S 2704 , and S 2705  illustrated in  FIG. 27  are respectively performed in a similar manner to operations S 2302 , S 2303 , S 2305 , and S 2306  of  FIG. 23  described above. Operation S 2701  is performed even when a request for generating content is not received. 
     When a recommendation theme item is detected in operation S 2702 , the computing device  100  displays the recommendation theme item as a notification in operation S 2703 . 
       FIGS. 28A and 28B  illustrate screens  2810  through  2860  displaying a recommendation theme item as a notification. 
     The screen  2810  of  FIG. 28A  shows an example of notifying a recommendation theme item  2802  by using a notification bar  2801  of the computing device  100 . When the recommendation theme item  2802  is detected, the computing device  100  automatically expands the notification bar  2801  located at a top end of a screen to notify detection of the recommendation theme item  2802 . 
     Referring to the screen  2810  of  FIG. 28A , information such as “SHORT CUT FOR GENERATING NEW CONTENT” adjacent to the recommendation theme item  2802  may be displayed. When “SHORT CUT FOR GENERATING NEW CONTENT” is touched, the computing device  100  may provide the input window  2600  for generating new content as illustrated in  FIG. 26 . When the “SHORT CUT FOR GENERATING NEW CONTENT” is being touched, it may indicate that the recommendation theme item  2802  is selected. “SHORT CUT FOR GENERATING NEW CONTENT” may be expressed as “SHORT CUT FOR POSTING”, but is not limited thereto. 
     The screen  2820  of  FIG. 28A  is an example of notifying a recommendation theme item by using a popup window  2803 . The popup window  2803  may includes the recommendation theme item  2802 , a message for checking whether new content is generated, and an item (Yes, No) via which a response may be made to the checking message. When a response item “Yes” is selected, the computing device  100  may close the popup window  2803  and provide the input window  2600  for generating new content, as illustrated in  FIG. 26 . That the response item “Yes” is selected indicates that the recommendation theme item  2802  is selected. When the response item “No” is selected, the computing device  100  closes the popup window  2803 . 
     The screens  2810  and  2820  of  FIG. 28A  may be provided regardless of an application that is currently being executed by the computing device  100 . 
     A screen  2830  of  FIG. 28A  is an example of notifying a recommendation theme item  2802  based on a portion of an execution screen of a service application  2804 . The service application includes a function of generating new content based on a geographical location. The service application may include, for example, a navigation application, a video call application, a social network service application, a life log application, and a schedule application, but is not limited thereto. 
     When the recommendation theme item  2802  is touched on the screen  2830 , the computing device  100  provides the input window  2600  for generating new content as illustrated in  FIG. 26 . That the recommendation theme item  2802  is touched indicates that the recommendation theme item  2802  is selected. 
     Screens  2840  through  2860  of  FIG. 28B  illustrate an example of notifying a plurality of recommendation theme items  2802  and  2805 . 
     When referring to the screen  2840  of  FIG. 28B , the computing device  100  expands a notification bar region  2801  according to the number of recommendation theme items  2802  and  2805 . When referring to the screen  2850  of  FIG. 28B , the computing device  100  provides popup windows  2803  and  2806  corresponding to the number of the recommendation theme items  2802  and  2805 . When referring to the screen  2860  of  FIG. 28B , the computing device  100  provides icons corresponding to the number of the recommendation theme items  2802  and  2805 . 
     A method of notifying the plurality of recommendation theme items  2802  and  2805  is not limited to the screens  2840  through  2860  of  FIG. 28B . 
       FIG. 29  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. In an exemplary method  FIG. 29 , an operation of registering content is added to a method of  FIG. 23 . 
     Operations S 2901  through S 2906  of  FIG. 29  are respectively performed in a similar manner as operations S 2301  through S 2306  of  FIG. 23 . When a request for transmitting content registered to the computing device  100  is received in operation S 2907 , the computing device  100  transmits the registered content to a server  2900 . 
     The computing device  100  may further display an input window  3001  for making public the generated content and an input window  3002  for sharing the generated content illustrated in  FIG. 30 , as the sharing  2608  of  FIG. 26  is touched after content is generated. 
       FIG. 30  illustrates an example of a screen on which sharing of generated content may be set, according to an exemplary embodiment. According to a user input based on items such as public, viewable only by friends, and viewable only by me provided via the input window  3001  for making public the generated content, the computing device  100  may set a range of publication of the generated content. According to information input regarding social media by using the input window  3002  for sharing the generated content, the computing device  100  may determine social media through which the generated content is to be shared. 
     The server  2900  may be determined based on information input through the input window  3002  for sharing the generated content. For example, when Chat On is input through the input window  3002 , the server  2900  may be a Chat On server. When KakaoTalk is input through the input window  3002 , the server  2900  may be the KakaoTalk server. When Routrip is input through the input window  3002 , the server  2900  may be a Routrip server. 
     The input window  3001  for making public the generated content may be expressed as an input window for posting. Also, while content being transmitted may be a currently generated new content, a plurality of pieces of content may also be transmitted to the server  2900  in units of days, weeks, or months or in units of a geographical location. A unit of transmitted contents is not limited thereto. 
     In operation S 2909 , the server  2900  registers and manages the content received in operation S 2909 . 
       FIG. 31  is an operational flowchart of a method of providing personalized information according to an exemplary embodiment.  FIG. 31  illustrates an example of providing a recommendation item in the form of a notification as personalized information without a user&#39;s request for generating content. A server  3100  of  FIG. 31  is a server that is capable of obtaining and providing information about geographical locations like a map server. The server  3100  may include the server  700  illustrated in  FIG. 7 . 
     In operation S 3101 , the computing device  100  obtains user-based context information. In operation S 3102 , the server  3100  obtains geographical location-based context information. The geographical location-based context information may be expressed as geographical location-based information as described earlier in the present disclosure. 
     Operation S 3102  may be performed before operation S 3101  or may be continuously performed regardless of the computing device  100 . 
     When the user-based context information obtained from the computing device  100  is received, the server  3100  detects a recommendation theme item by using the received user-based context information and geographical location-based context information in operation S 3104 . Detection of a recommendation theme item may be performed as in operation S 2303  of  FIG. 23  described above. 
     When at least one recommendation theme item is detected, the server  3100  transmits information about recommendation theme items to the computing device  100  in operation S 3105 . The computing device  100  provides a recommendation theme item as a notification based on the received recommendation theme item in operation S 3106 . The notification may be provided as illustrated in screens  2810  through  2860  in  FIGS. 28A and 28B , but is not limited thereto. 
     When a selection signal selecting a recommendation theme item provided as a notification is received in operation S 3107 , the computing device  100  generates content in operation S 3108 , and transmits the generated content to the server  3100  in operation S 3109 . Then the server  3100  registers the received content and manages the same in operation S 3110 . Registration of content may include an operation of mapping a theme item regarding the received content and a geographical location, but is not limited thereto. 
       FIG. 32  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. The method of  FIG. 32  includes an operation of providing a recommendation theme item as personalized information according to a user&#39;s request for generating content, and an operation of registering and managing the generated content to the server  3100  based on the provided recommendation theme item. 
     Operations S 3202  through S 3211  of  FIG. 32  may be respectively performed in the same manner as operations S 3101  through S 3110  of  FIG. 31  described above. Operation S 3201  of  FIG. 32  may be performed in the same manner as operation S 2301  of  FIG. 23  described above. 
       FIG. 33  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 33  illustrates an example of notifying a recommendation theme item based on geographical location-based context information obtained by the server  3100 , user-based context information obtained by the computing device  100 , and a social media profile of the user of the computing device  100  received from a social network service (SNS) server  3300 , as personalized information. 
     In operation S 3301 , user-based context information (except social media profile information) of the user of the computing device  100  is obtained. 
     Operations S 3302 , S 3303 , and S 3306  through S 3311  of  FIG. 33  may be respectively similarly performed as operations S 3102 , S 3103 , and S 3105  through S 3110  of  FIG. 31 . 
     In operation S 3304 , when social media profile information is received from the SNS server  3300 , the server  3100  detects a recommendation theme item based on the user-based context information received from the computing device  100 , the geographical location-based context information obtained by the server  3100 , and the social media profile information of the user of the computing device  100  received from the SNS server  3300 . 
     For example, when information about a current location and a current time of the computing device  100  (e.g., shop A at Gangnam Station, 7 p.m.) is included in the user-based context information received from the computing device  100 , and a theme item (e.g., drinking, having meal, and dining together) of content generated at the current location of the computing device  100  is included in geographical location-based context information, and information (e.g., drinking in the evening) about preference of the user of the computing device  100  is included in social media profile information, the server  3100  may detect drinking as a recommendation theme item in operation S 3305 . 
     The SNS server  3300  is a social media server. For example, the SNS server  3300  may be one of a Routrip server, a Facebook server, a Twitter server, a blog server, a Youtube server, a LinkedIn server, and/or the like, but is not limited thereto. 
     In operation S 3304 , the SNS server  3300  may transmit a social network service history to the server  3100 . In this case, in operation S 3305 , the server  3100  may detect a recommendation theme item based on the social network service history, and user-based context information obtained in operation S 3301  may include context information, from which the social network service history is excluded. 
       FIG. 34  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 34  is an example of providing a recommendation theme item detected based on user-based context information obtained by the computing device  100  and a social media profile of the user of the computing device  100  received from the SNS server  3300 , as personalized information. 
     Operations S 3401  through S 3403  may be performed in a similar manner as operations S 3301 , S 3303 , and S 3304  of  FIG. 33 , and operations S 3405  through S 3410  may be performed in a similar manner as operations S 3306  through S 3311  of  FIG. 33 . 
     User-based context information of the computing device  100  obtained in operation S 3301  may include context information without a social media profile of the user of the computing device  100 . If information transmitted from the SNS server  3300  is a social network service history, user-based context information of the user of the computing device  100  obtained in operation S 3301  may not include the social network service history of the user of the computing device  100 . 
     In operation S 3404 , the server  3100  may detect a recommendation theme item based on the user-based context information received from the computing device  100  and the social media profile information received from the SNS server  3300 . 
     For example, when information (e.g., shop A at Gangnam Station, 6 p.m.) about a current location and a current time of the computing device  100  is included in the user-based context information received from the computing device  100 , and information (e.g., a blogger for providing information regarding a place that has tasty food) about a preference of the user of the computing device  100  is included in social media profile information, the server  3100  may detect tasty food restaurant (or gourmet restaurant) as a recommendation theme item in operation S 3404 . 
       FIG. 35  is a view illustrating a method of providing personalized information according to another exemplary embodiment. 
     Referring to  FIG. 35 , a computing device  3501  obtains context information based on user A  3502  and provides the same to a map server  3503 . The computing device  3501  may transmit location information included in the context information based on user A  3502  to a location-based service (LBS) server  3504 . Location information may be obtained by the computing device  3501  or may also be input by the user of the computing device  3501 . The computing device  3501  may be configured in a similar device as the computing device  100 . 
     Another computing device  3505  obtains context information based on user B  3506  and provides the same to the map server  3503 . The another computing device  3505  may transmit location information included in the context information based on user B  3506  to the location-based service server  3504 . Location information may be obtained by the another computing device  3505  or may also be input by the user of the another computing device  3505 . The another computing device  3505  may be configured in a similar manner as the computing device  100 . 
     The location-based service server  3504  may transmit to the map server  3503  geographical location-based context information based on the location information received from the computing device  3501  of user A  3502  and geographical location-based context information based on the location information received from the another computing device  3505  of user B  3506 . 
     The map server  3503  may provide the user A  3502  with map information  3510  that is customized to user A  3502  based on user-based context information received from the computing device  3501  and context information based on geographical location of user A  3502  transmitted from the location-based service server  3504 . 
     For example, if location information transmitted by the computing device  3501  to the location-based service server  3504  is Manhattan, N.Y., the location-based service server  3504  transmits geographical location-based context information about Manhattan, N.Y., to the map server  3503 . 
     The map server  3503  analyzes the context information based on user A  3502  received from the computing device  3501 . As a result of the analysis, if user A  3502  is a tasty food restaurant blogger, and theme items that user A  3502  prefers are TH 1  (e.g., show) and TH 3  (e.g., dating), the map server  3503  may provide the computing device  3501  with the map  3510 , on which tasty food restaurants (e.g., tasty food restaurant with shows and/or tasty food restaurants suitable for dating), to which TH 1  and TH 3  are registered, are marked as points of interest, from among theme items included in the geographical location-based context information received from the location-based service server  3504 . 
     For example, if location information transmitted by the another computing device  3505  to the location-based service server  3504  is New York, Manhattan, the location-based service server  3504  transmits geographical location-based context information about New York, Manhattan to the map server  3503 . 
     The map server  3503  analyzes the context information based on user B  3506  received from the other computing device  3505 . As a result of analysis, if user B  3506  is going to get married, and theme items of content that user B  3506  has recently mostly generated are TH 2  (e.g., hotel) and TH 5  (e.g., travel), the map server  3503  may provide the another computing device  3505  with the map  3520  on which places to which TH 2  and TH 5  (e.g., hotels or sights to see) are registered, are marked as points of interest, from among theme items included in the geographical location-based context information received from the location-based service server  3504 . 
     The maps  3510  and  3520  illustrated in  FIG. 35  may include the point of interest toggle item  1101  or the point of interest information setting item  1102  illustrated in  FIG. 11 . When the point of interest toggle item  1101  or the point of interest information setting item  1102  are included in the maps  3510  and  3520 , the computing devices  3501  and  3505  may change points of interest marked on the maps  3510  and  3520  according to a user input based on the point of interest toggle item  1101  or the point of interest information setting item  1102 . 
     The map server  3503  illustrated in  FIG. 35  may operate in connection with a map application installed in the computing devices  3501  and  3505 . 
       FIG. 36  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 36  illustrates an example of providing geographical information including point of interest information as personalized information as a request for geographical information is received from a user of the computing device  100 . 
     When a request for geographical information is received in operation S 3601 , the computing device  100  obtains at least one of user-based context information of the user of the computing device  100  and geographical location-based context information in operation S 3602 . The request for geographical information may be received like the request for generating content received in operation S 2301  of  FIG. 23 . The operation of the computing device  100  in operation S 3602  may be similar to the operation of the computing device  100  in operation S 2302  of  FIG. 23 . 
     Before requesting geographical information in operation S 3601 , the user of the computing device  100  may select in advance a theme item that the user prefers. An operation of selecting a theme item in advance may be included in an operation of setting a filtering condition of the theme item. 
       FIG. 37  illustrates an example of a screen for selecting a theme item according to an exemplary embodiment. Referring to  FIG. 37 , the computing device  100  may provide a screen  3700  including theme item TH 1  through TH 25  as a screen via which theme items are selectable. The theme items TH 1  through TH 25  displayed on the screen  3700  may be theme items that a user frequently uses. 
     The number of selectable theme items may be more than a number of the theme items TH 1  through TH 25  marked on the screen  3700 . If the number of selectable theme items is more than the number of the theme items TH 1  through TH 25  displayed on the screen  3700 , the computing device  100  may provide other theme items by moving a page to the left or right according to a touch-based input such as a swipe. A method of providing other theme items is not limited to the above method. For example, the computing device  100  may provide other theme items by moving a page upward or downward based on a touch-based input such as a scroll. 
     A skipping item illustrated in  FIG. 37  indicates an input item that is selectable if a user wishes to skip the preferred theme item selection operation and continue without selecting preferred theme items. A complete item illustrated in  FIG. 37  indicates an input item indicating completion of selection of a preferred theme item. The computing device  100  may provide a screen for selecting point of interest information illustrated in  FIG. 14  described above instead of the screen  3700  related to the selectable theme items illustrated in  FIG. 37 . 
       FIG. 38  illustrates an example of a screen for setting a theme item filtering condition according to an exemplary embodiment. Referring to  FIG. 38 , a theme item filtering condition may include information about a time period, a theme item, and distance, but is not limited thereto. 
     A period illustrated in  FIG. 38  indicates a time period before the current date. For example, when three days is selected in a period area  3810  as illustrated in  FIG. 38 , the computing device  100  may perceive the period as three days before the current date. 
     At least one theme item selected in a theme item area ( 3820 ) illustrated in  FIG. 38  may indicate a theme item preferred by the user of the computing device  100 . For example, when a theme item TH 1  is selected in the theme area  3820  as illustrated in  FIG. 38 , the theme item TH 1  may be set as a theme item preferred by the user of the computing device  100 . 
     A distance illustrated in  FIG. 38  may indicate a radial distance from a current location of the computing device  100  or from a location set by the user of the computing device  100 . For example, when a distance of 10 km is selected in a distance area  3830  as illustrated in  FIG. 38 , the computing device  100  may provide information about a point of interest within 10 km from a reference location. 
     The computing device  100  may individually control the period area  3810 , the theme item area  3820 , and the distance area  3830 . In each of the period area  3810 , the theme item area  3820 , and the distance area  3830 , when a touch-based input such as a swipe is received, the computing device  100  may set a desired filtering condition by moving to the left or right corresponding to at least one of the period area  3810 , the theme item area  3820 , and the distance area  3830 . When a touch-based input such as a scroll is received in the period area  3810 , the theme item area  3820 , and the distance area  3830 , the computing device  100  may set a desired filtering condition by moving to the upward or the downward the period area  3810 , the theme item area  3820 , and the distance area  3830  respectively. 
     Meanwhile, in operation S 3603 , the computing device  100  detects point of interest information based on the context information obtained in operation S 3602 . The computing device  100  may detect point of interest information in the same manner as the map server  3503  does as described with reference to  FIG. 35 , but is not limited thereto. For example, the computing device  100  may request from the map server  3403  detection of point of interest information, and may receive point of interest information from the map server  3503 . 
     When point of interest information is detected, the computing device  100  provides geographical information including the point of interest information in operation S 3604 . The computing device  100  may provide the geographical information including the point of interest information as illustrated in  FIG. 39  or  FIG. 40 . 
       FIG. 39  illustrates an example of a map image, on which a theme item according to an exemplary embodiment is marked on a point of interest. 
     Referring to  FIG. 39 , the computing device  100  provides a map image  3900  showing theme items TH 1 , TH 2 , TH 3 , and TH 4  at points of interest, as point of interest information. 
       FIG. 40  illustrates an example of a screen showing an augmented reality (AR) image and information about a point of interest, that are combined together, according to an exemplary embodiment. Referring to  FIG. 40 , the computing device  100  provides a screen on which point of interest information is combined with an AR image  4000 . The AR image  4000  may be obtained by using a camera included in the computing device  100 . The point of interest information marked in  FIG. 40  may include icons, average of reviews, and a representative image, but is not limited thereto. For example, the point of interest information may further include icons indicating the name of the shop, and the number of comments by customers, but is not limited thereto. The icons may indicate theme items regarding a point of interest. The average of reviews may indicate a grade of review about the point of interest. The representative image may be a representative image of the point of interest. 
     When a user input selecting an icon  4001  is received, the computing device  100  may provide a window  4010  including a message recommending nearby places  4011 , a representative picture  4012  of recommended places, and summary and explanation  4013  of the recommended places, illustrated in  FIG. 40 . The computing device  100  may display the window  4010  as an independent popup window apart from a window  4004 . The window  4004  may include an icon  4001 , an average of reviews  4002 , and/or a representative picture  4003 . 
     The computing device  100  may also individually manage the message for recommending nearby locations  4011 , the representative picture  4012  of the recommended places, and the summary and explanation  4013  of the recommended places, included in the window  4010  as independent windows. When a selection of the summary and explanation  4013  of the recommended places is received, and the recommended place is a restaurant, the computing device  100  may provide, for example, menus, today&#39;s highlight menus, daily specials, happy hour specials, and price information via the corresponding window or another independent window. 
       FIG. 41  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment.  FIG. 41  illustrates an example of providing geographical information based on user-based context information obtained by using the computing device  100  and geographical location-based context information obtained by the server  4100  as personalized information. 
     In operation S 4101 , when a request for geographical information is received, the computing device  100  obtains user-based context information. The request for geographical information may be received by appointing a specifically-designated point as illustrated in  FIG. 24  (point A  2401 ), but a method of requesting geographical information is not limited thereto. 
     For example, location information may be input by using a text input window provided by the computing device  100 , and the computing device  100  may receive the request for geographical information via a touch-based input selecting an input complete item or an item corresponding to the request for geographical information, provided by the computing device  100 . 
     A request for execution of a map application installed in the computing device  100  may also be used as a request for geographical information. A method of requesting geographical information may be determined by an environment setting of the computing device  100  or an environment setup of the map application, but is not limited thereto. 
     In operation S 4102 , the computing device  100  obtains user-based context information. The computing device  100  may obtain different pieces of user-based context information according to a usage environment and/or specifications of the computing device  100 . For example, if the computing device  100  is capable of receiving a sensing value of an IoT sensor, the computing device  100  may obtain user-based context information by using the sensing value of the IoT sensor. If the computing device  100  is not able to receive a sensing value of an IoT sensor, the computing device  100  may obtain user-based context information regardless of a sensing value of an IoT sensor. 
     The computing device  100  transmits the obtained user-based context information to the server  4100  in operation S 4103 . The server  4100  obtains geographical location-based context information based on the received user-based context information in operation S 4104 . For example, if location information indicating New York, Manhattan is included in the received user-based context information as shown in  FIG. 35 , the server  4100  may obtain geographical location-based context information about New York, Manhattan. The server  4100  may be a server capable of providing a location-based service and a map service, but is not limited thereto. 
     In operation S 4105 , the server  4100  may detect point of interest information based on the obtained geographical location-based context information and the received user-based context information. For example, the computing device  100  may detect information about a point of interest (e.g., a point of interest in New York, Manhattan) based on a place profile (e.g., information about a theme item registered to a place) included in the geographical location-based context information and a user profile (e.g., information about a preferred theme item) included in the user-based context information. 
     In operation S 4106 , the server  4100  may transmit geographical information including the detected information about a point of interest to the computing device  100 . After mapping the detected information about a point of interest and the geographical location, the server  4100  may transmit to the computing device  100  the information obtained by mapping the information about a point of interest and the geographical information. 
     In operation S 4107 , the computing device  100  provides the geographical information received from the server  4100 . 
       FIG. 42  is an operational flowchart of a method of providing personalized information according to another exemplary embodiment. The method  FIG. 42  illustrates an example adding an operation of executing an additional service to the method of  FIG. 41 . 
     Operations S 4201  through S 4207  of  FIG. 42  may be respectively performed in a similar manner as operations S 4101  through S 4107  of  FIG. 41 . 
     In operation S 4208 , the computing device  100  executes an additional service based on the provided geographical information. The additional service may include, for example, on-line booking of a designated place, making a call to a designated place, transmitting a message to a designated place, positing information about a designated place to the SNS server  3400  or a blog, and connecting to a Uniform Resource Locator (URL) connected to a designated place, but is not limited thereto. 
     The additional service may include an operation of immediately executing an application for executing the additional service. 
     For example, when making a call to the designated place is selected, the computing device  100  may execute a phone application and perform an operation of making a call using a telephone number of the designated place. When on-line booking of the designated place is selected, the computing device  100  may access a home page address of the designated place by executing an Internet application and may open an on-line booking page. When information about the designated place is posted to the SNS server  3400  or a blog is selected, the computing device  100  may immediately post the information about the designated place by accessing the SNS server  3400  or the blog. When connecting to a URL connected to the designated place is selected, the computing device  100  may immediately perform an operation of connecting based on the URL connected to the designated place. If there are multiple URLs connected to the designated place, the computing device  100  may provide a screen by connecting to a URL that is selected from among a plurality of URLs or may provide a multi-screen by simultaneously connecting to multiple URLs. 
       FIG. 43  is a functional block diagram of the computing device  100  used according to exemplary embodiments. Referring to  FIG. 43 , the computing device  100  may include a context information obtaining unit (e.g., context information obtainer)  4310 , a controller  4320 , a user interface unit (e.g., user interface)  4330 , a memory  4340 , and a communication unit (e.g., communicator)  4350 . 
     Not all of elements of the computing device  100  illustrated in  FIG. 43  are necessary elements. The computing device  100  may include more or less elements than those illustrated in  FIG. 43 . For example, the computing device  100  may be configured as illustrated in  FIG. 44  which will be described later. The computing device  100  may include a user location information obtaining unit (e.g., location finder, location tracker)  4311 , a controller  4320 , a user interface unit  4330 , a memory  4340 , and a communication unit  4350 . 
     The context information obtaining unit  4310  may obtain at least one of user-based context information of the user of the computing device  100  described with reference to operation S 2302  of  FIG. 23  and geographical location-based context information described with reference to operation S 3102  of  FIG. 31 . Obtaining geographical location-based context information may be expressed as receiving geographical location-based context information. 
     In order to obtain the user-based context information and the geographical location-based context information, the context information obtaining unit  4310  may include at least one element that is connected to at least one of sensors included in a sensor unit (e.g., sensor group)  4460 , a camera  4490 , and the communication unit  4350  illustrated in  FIG. 44  so as to transmit or receive data. 
     In order to obtain the user-based context information and the geographical location-based context information, the context information obtaining unit  4310  may include an element obtaining the user-based context information (e.g., a first context information obtaining unit) and an element obtaining the geographical location-based context information (e.g., a second context information obtaining unit). The context information obtained by the context information obtaining unit  4310  is transmitted to the controller  4320 . 
     Information about theme items included in the context information may include a theme item of content generated at a geographical location, the number of times a theme item is generated, and priority information of a theme item based on the number of times a theme item is generated, but is not limited thereto. 
     The information about theme items may include, for example, theme items and the number of times of generating a theme item, such as 10 times of theme A (e.g., dating) of content generated at place A (e.g., café), three times of theme B (e.g., gathering), one time of theme C (e.g., studying). The information about a theme item may include priority information of the theme items, such as first ranking theme A, a second ranking theme B, and a third ranking theme C. 
     The geographical location-based context information may be obtained from a geographical location information providing application (e.g., a map application) stored in the memory  4340 . For example, the context information obtaining unit  4310  may request from the geographical location information providing application stored in the memory  4340  geographical location-based context information about point A, and may receive from the geographical location information providing application geographical location information about the point A. To this end, the context information obtaining unit  4310  may transmit or receive data directly to or from the memory  4340 , but may also transmit or receive data to or from the memory  4340  via the controller  4320 . 
     The controller  4320  may communicate with a geographical location information providing server (e.g., the map server or a location-based service (LBS) server  3504 , etc.) connected via the communication unit  4350  to update the geographical location information providing application stored in the memory  4340 . 
     The context information obtaining unit  4310  may receive geographical location-based context information from a location management server (e.g., a management server installed at place A). For example, if the computing device  100  is tagged at an NFC tag installed at place A, the context information obtaining unit  4310  may receive information about a geographical location regarding place A from the NFC tag via the communication unit  4350 . To this end, the context information obtaining unit  4310  may include an element for accessing an NFC communication module included in the communication unit  4350 . The NFC communication module may read information from an NFC tag and write information to the NFC tag. 
     The context information obtaining unit  4310  may receive geographical location context information from an external device (e.g., a computing device of another person) connected to the computing device  100  via the communication unit  4350 . For example, the context information obtaining unit  4310  may receive geographical location-based context information stored in computing device of another person who is connected to the computing device  100 , based on Bluetooth communication by using the communication unit  4350 . 
     The context information obtaining unit  4310  may obtain context information based on geographical location-based on a user input received from a user input unit  4332 . For example, the context information obtaining unit  4310  may receive information about a theme item that a user has directly input via the user input unit  4332  at place A as context information based on a geographical location regarding place A. 
     The context information obtaining unit  4310  may obtain user-based context information by receiving information about a user (e.g., life log information of a user), stored in the memory  4340 , and/or information about a user from an external device (e.g., an SNS server, a wearable device such as a smart watch, a user information management server, a user information database, etc.) connected to the computing device via the communication unit  4350 . However, the method of obtaining user-based context information is not limited thereto. 
     The context information obtaining unit  4310  may include a user location information obtaining unit  4311 . The user location information obtaining unit  4311  may sense whether the user of the computing device  100  has moved, and may obtain physical location information. 
     The user location information obtaining unit  4311  may obtain user location information by using at least one of a value sensed by at least one sensor included in the computing device  100 , a GPS satellite signal, and/or network location information. 
     The user location information obtaining unit  4311  may include at least one sensor (e.g., a motion sensing sensor, an illuminance sensor, an accelerometer sensor, a geomagnetic sensor, a gyroscope, a position sensor, etc.) included in the sensor unit (e.g., sensor group)  4460  illustrated in  FIG. 44  which will be described later, a camera  4490 , and/or at least one elements that is able to transmit or receive data to or from at least one communicator included in a communication unit  4450 . 
     The user location information obtained by using the user location information obtaining unit  4311  is transmitted to the controller  4320 . 
     The controller  4320  may sense whether a user&#39;s location has moved based on the user location information provided from the user location information obtaining unit  4311 . When sensing whether the user&#39;s location is moved, the controller  4320  may track the user&#39;s location. When tracking the user&#39;s location, the controller  4320  may variably control an interval of measuring the user&#39;s location by the user location information obtaining unit  4311 . 
     The controller  4320  may detect a moving speed, a movement time, and/or a moved distance of the user of the computing device  100  based on information received from the user location information obtaining unit  4311 . 
     The controller  4320  may variably control an interval of measuring the user&#39;s location by the user location information obtaining unit  4311  according to at least one of the detected moving speed, movement time, and moved distance of the user of the computing device  100  based on information received from the user location information obtaining unit  4311 . The controller  4320  may obtain information about an initial route of the user based on the user location information obtained from the user location information obtaining unit  4311 . 
     The controller  4320  may detect information indicating the predicted route of the user based on information about a user&#39;s initial route from user location history information. The user location history information may be stored in the memory  4340  but may also be received from an external device via the communication unit  4350 . The external device may include the server  700  of  FIG. 7 , but is not limited thereto. 
     When information indicating the predicted route of the user is detected, the controller  4320  may variably control an interval of measuring the user&#39;s location performed by the user location information obtaining unit  4311  according to at least one of the detected moving speed, movement time, and/or surrounding environment information of the user. 
     If the user&#39;s predicted route based on the user&#39;s initial route is not detected from the user location history information, the controller  4320  may variably control an interval of measuring the user&#39;s location by the user location information obtaining unit  4311  based on at least one of a movement speed and/or surrounding environment information of the user. 
     The controller  4320  may obtain information about a route based on user location information transmitted from the user location information obtaining unit  4311 , and update the user location history information based on the obtained information about a route. If the user location history information is stored in the memory  4340 , the controller  4320  may update the user location history information stored in the memory  4340 . If the user location history information is stored in the server  70 , the controller  4320  may transmit information about the obtained information about a user&#39;s route to the server  700  and request to update the user location history information. 
     The controller  4320  may perform an operation based on at least one of the operational flowchart of the computing device  100  according to one or more exemplary embodiments, as illustrated in  FIGS. 2, 3, 4, 6, 7, 9, 10, 12, 15, 17-20, 23, 27, 29, 31-34, 36, 41, and 42 . 
     The controller  4320  may be referred to as a processor that controls an operation of the computing device  100 . The controller  4320  may detect at least one recommendation theme item based on context information received from the context information obtaining unit  4310 . For example, if information about place A (10, 3, 1) and information about user A (10, 0, 0) are included in the received context information, the controller  4320  may detect a theme item with the number  10  in the information about place A and the information about user A information as a recommendation theme item. 
     The information about place A (10, 3, 1) may indicate that a theme item A of content generated at place A is generated ten times, and a theme item B of the content is generated three times, and a theme item C of the content is generated one time. The information about user A (10, 0, 0) may indicate that a theme item A of content generated by the user of the computing device  100  is generated ten times, and a theme item B of the content is generated zero time, and a theme item C of the content is generated zero time. If a theme item included in the information about place A and a theme item included in the information about user A are the same as described above, the controller  4320  may detect the theme item A as a recommendation theme item. 
     The controller  4320  may display the detected theme item via a display unit (e.g., display)  4331  included in the user interface unit (e.g., user interface)  4330 . When a selection signal selecting the recommendation theme item displayed via the display unit  4331  is received via the user input unit (e.g., user inputter)  4332  included in the user interface unit  4330 , the controller  4320  may provide a corresponding graphical user interface (GUI) via the display unit  4331 . The corresponding GUI may be used to generate content regarding the selected recommendation theme item. The GUI used to generate content may be as illustrated in  FIG. 26 , but is not limited thereto. 
     When generation of content is completed according to a user input by using the GUI provided via the display unit  4331 , the controller  4320  registers the generated content. The content may be registered in the memory  4340  of the computing device  100  or registered to the server  2900  illustrated in  FIG. 29  or an external device (a user database or another computing device of the user). 
     The controller  4320  may detect a point of interest based on context information received from the context information obtaining unit  4310 . For example, if context information about place A and context information about place B are included in the received context information, and context information about place A indicates place A (10, 3, 1)=place A (theme item A, theme item B, theme item C), and context information about place B indicates place B (0, 12, 2)=place B (theme item A, theme item B, and theme item C), and if user A (10, 0, 0) included in context information indicates user A (theme item A, theme item B, and theme item C), the controller  4320  detects place A as a point of interest about the user A. 
     The controller  4320  may provide a map including detected points of interest via the display unit  4331 . When a selection signal selecting one of the points of interest displayed on the display unit  4331  is received via the user input unit  4332 , the controller  4320  may provide information based on the selected point of interest via the display unit  4331 . The information based on the selected point of interest may include, for example, a menu for selecting an additional service available based on the selected point of interest. The additional service may include the additional service described in operation S 4208  of  FIG. 42 , but is not limited thereto. 
     The display unit  4331  is configured to display information being processed by the computing device  100 . The display unit  4331  may display the screens as illustrated in  FIGS. 1, 5, 8, 11, 13, 14, 16A, 16B, 16C, 21, 22, 24, 25, 26, 28A, 28B, 30, 37, 38, 39, and 40  described above. 
     When a touch pad and a display are configured in a layered structure as a touch screen, the display unit  4331  may be used as both an input device and an output device. The display unit  4331  may include at least one of a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a 3D display, and/or an electrophoretic display (EPD). 
     According to an implementation form of the computing device  100 , the computing device  100  may include two or more display units  4331 . The two or more display units  4331  may be disposed to face each other by using a hinge. 
     The user input unit  4332  may receive a user input based on a screen displayed on the display unit  4331 . The user input unit  4332  may be mounted in the computing device  100  so that a user may input data for controlling the computing device  100 . 
     The user input unit  4332  that may be mounted in the computing device  100  may include, for example, at least one of a key pad, a dome switch, a touch pad (e.g., capacitive overlay, resistive overlay, infrared beam, surface acoustic wave, integral strain gauge, and piezoelectric type touch pads), a jog wheel, and/or a jog switch, but is not limited thereto. 
     User input information that may be input via the user input unit  4332  may include at least one of touch-based input information, movement-based input information, vision-based input information, and/or user voice-based input information, but is not limited thereto. 
     For example, touch-based input information may include a tap (or touch), a long tap (long touch), a touch and hold, a touch and drag, a double tap, a drag, a panning, a flick, a drag and drop, and/or a sweep, but is not limited thereto. 
     Movement-based input information may include, for example, input information based on a user gesture (e.g., shaking a device, rotating a device, and lifting a device) based on a movement of the computing device  100 , but is not limited thereto. 
     Vision-based input information may include information that is recognized by analyzing an input image obtained by using a camera included in the computing device  100  without a contact between the computing device  100  and a user. 
     The memory  4340  may store a program for processing and controlling by the controller  4320 . A program stored in the memory  4340  may include an operating system (OS) program and various application programs. Various application programs may include, for example, a geographical location information providing application, a personalized information providing application, and/or a user location tracking application, but are not limited thereto. 
     The memory  4340  stores information managed by an application program. For example, the memory  4340  may store content generated according to an exemplary embodiment, information about the generated content, geographical location-based context information, user-based context information of the user of the computing device  100 , and/or user location history information, but is not limited thereto. 
     The memory  4340  may include at least one type of storage medium selected from a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., SD or XD memory), a random access memory (RAM), a static random access memory (RAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and/or an optical disk. 
     The computing device  100  may be configured to use web storage or a cloud server that performs a storage function of the memory  4340  on the Internet. In this case, information about a screen displayed on the display unit  4331  may be provided by the web storage or the cloud server described above. 
     The communication unit  4350  may include at least one element for communication between the computing device  100  and at least one external device (e.g., a wearable device such as a smart watch, a service providing server, another computing device of the user, or a cloud server, etc.). For example, the communication unit  4350  may include at least one of a short range communicator  4451 , a mobile communicator  4452 , and/or a broadcasting receiver (e.g., GPS receiver)  4453  which are illustrated in  FIG. 44  below, but the elements included in the communication unit  4350  are not limited thereto. 
     Referring to  FIG. 44 , the computing device  100  may include a controller  4420 , a user interface unit (e.g., user interface)  4430 , a memory  4440 , a communication unit (e.g., communicator)  4450 , a sensor unit (e.g., sensor group)  4460 , an image processor  4470 , an audio output unit (e.g., audio outputter)  4480 , and a camera  4490 . 
     The computing device  100  may include a battery. The battery may be included inside the computing device  100  or may be detachably connected to the computing device  100 . The battery may be used to supply power to all elements included in the computing device  100 . The computing device  100  may receive power from an external power device via the communication unit  4450 . The computing device  100  may further include a connector that is connectable to the external power device. 
     The controller  4420 , the user interface unit  4430 , the memory  4440 , and the communication unit  4450  illustrated in  FIG. 44  may be respectively referred to as similar or identical elements as the controller  4320 , the user interface unit  4330 , the memory  4340 , and the communication unit  4350  illustrated in  FIG. 43 . 
     The display unit (e.g., display)  4431  and the user input unit (e.g., user inputter)  4432  illustrated in  FIG. 44  may be respectively referred to as the display unit  4331  and the user input unit  4332  illustrated in  FIG. 43 . 
     Programs stored in the memory  4440  may be classified as a plurality of modules according to respective functions. For example, programs stored in the memory  4440  may be classified as a UI module  4441 , a notification module  4442 , and an application module  4443 , but are not limited thereto. For example, when the display unit  4431  is coupled to a touch panel layer, the plurality of modules may include a touch screen module. 
     The UI module  4441  may provide GUI information about the user&#39;s route described above with reference to exemplary embodiments and GUI information used to generate new content to the controller  4420 . The UI module  4441  may provide the controller  4420  with UI or GUI or the like that are specialized in each application installed in the computing device  100 . 
     The notification module  4442  may generate a signal notifying recommendation of a theme item by the computing device  100 , but a notification generated by the notification module  4442  is not limited thereto. 
     The notification module  4442  may output a notification signal in the form of a video signal illustrated in  FIGS. 28A and 28B  via the display unit  4431 , or may output a notification signal as an audio signal via the audio output unit  4480 , but is not limited thereto. A notification signal in the form of an audio signal may include a notification signal related to the user&#39;s route illustrated in  FIG. 1 . 
     The application module  4443  may include various applications including a personalized information providing application installed in the computing device  100 . A personalized information providing application according to an exemplary embodiment may operate in connection with other applications set to the computing device  100 . For example, a personalized information providing application to perform an additional service described with reference to operation S 4208  of  FIG. 42  may operate in connection with other applications set to the computing device  100 . 
     The communication unit  4450  may include at least one element for communication between the computing device  100  and at least one external device (e.g., a service providing server, a cloud server, a wearable device, or an appcessory). For example, the communication unit  4450  may include at least one of the short range communicator  4451 , the mobile communicator  4452 , and/or the broadcasting receiver  4453 , but is not limited thereto. 
     Examples of the short range communicator  4451  may include, without limitation, a module whereby at least one communication among Bluetooth communication, Bluetooth Low Energy (BLE) communication, near field communication, Wi-Fi LAN (WLAN) communication, Zigbee communication, Ant+ communication, infrared Data Association (IrDA) communication, Wi-Fi Direct (WFD) communication, and/or Ultra WideBand (UWB) communication may be performed. For example, the short range communicator  4451  may include an IrDA communication module. 
     The mobile communicator  4452  transmits or receives a wireless signal to or from at least one of a base station, an external device, and/or a server via a mobile communication network. The wireless signal may include a voice call signal, a video call signal, or data in various forms according to transmission and reception of text/multimedia messages. 
     The broadcasting receiver  4453  receives a broadcast signal and/or information related to broadcasting via a broadcasting channel from the outside. Examples of a broadcasting channel may include, without limitation, a satellite channel, a terrestrial channel, and/or a radio channel. 
     The communication unit  4450  may transmit information about at least one piece of content generated by the computing device  100  according to an exemplary embodiment, to an external device or receive at least one of a recommendation theme item, geographical location-based context information, and/or user location history information, from the external device. Information, data, and signals transmitted or received via the communication unit  4450  are not limited to the above examples. 
     The sensor unit  4460  may include, for example, a proximity sensor  4461  for sensing whether a user has approached the computing device  100 , an illuminance sensor  4462  (or an optical sensor or an LED sensor) for sensing illuminance of a surrounding environment of the computing device  100 , a microphone  4463  for recognizing voice of the user of the computing device  100 , a moodscope sensor  4464  for sensing a mood of the user of the computing device  100 , a motion sensing sensor  4465  for sensing activity of the user, a position sensor  4466  (e.g., a GPS sensor) for sensing a location of the computing device  100 , a gyroscope  4467  for measuring a bearing angle of the computing device  100 , an accelerometer sensor  4468  for measuring an inclination and an acceleration of the computing device  100  with respect to a ground surface, and/or a geomagnetic sensor  4469  for sensing a bearing angle of the four cardinal points with respect to the computing device  100 , but is not limited thereto. 
     For example, the sensing unit  4460  may include a gravity sensor, an altitude sensor, a chemical sensor (e.g., an odorant sensor), a temperature sensor, a humidity sensor, a barometer, a fine dust sensor, an ultraviolet sensor, an ozone sensor, a carbon dioxide (CO 2 ) sensor, an optical sensor, and/or a network sensor (e.g., a network based on Wi-Fi, Bluetooth, 3G (Generation), LTE (long term evolution), NFC). 
     The sensing unit  4460  may include, for example, a pressure sensor (e.g., a touch sensor, a piezoelectric sensor, or physical buttons), a state sensor (e.g., an earphone terminal or a DMB antenna), a standard terminal (e.g., a terminal capable of recognizing whether charging is conducted, a terminal capable of recognizing whether the computing device  110  is connected to a personal computer (PC), or a terminal capable of recognizing whether the computing device  110  is connected to a doc), a time sensor, and/or a health sensor (e.g., a biosensor, a heart rate sensor, a blood flow meter, a diabetes sensor, a blood pressure sensor, a stress sensor, etc.). 
     The microphone  4463  may receive an audio signal from the outside of the computing device  100  and convert the received audio signal to an electrical audio signal and transmit the same to the controller  4420 . The microphone  4463  may be configured to perform an operation based on a noise removing algorithm for removing noise generated when receiving an external acoustic signal. The microphone  4463  may be referred to as an audio input unit. 
     A result of sensing sensed by the sensor unit  4460  is transmitted to the controller  4420 . 
     The controller  4420  may track a location of the user of the computing device  100  based on a sensing value received from the sensor unit  4460  (e.g., the illuminance sensor  4462 ), detect an initial route based on the tracked user&#39;s location, and detect a user&#39;s predicted route based on the initial route from user location history information. 
     The controller  4420  may recommend a theme item. For example, the controller  4420  may recommend a theme item (e.g., happiness) based on location information (e.g., home) of the computing device  100  detected based on a sensing value received from the location sensor  4466  and emotion information (e.g., happiness) of the user of the computing device  100  detected based on a sensing value received from the moodscope sensor  4464 . 
     The controller  4420  may control an overall operation of the computing device  100 . For example, the controller  4420  may execute programs stored in the memory  4440  to control an overall operation of the sensor unit  4460 , the memory  4440 , the user interface unit  4430 , the image processor  4470 , the audio output unit  4480 , the camera  4490 , and/or the communication unit  4450 . 
     The controller  4420  may perform an operation based on at least one of the operational flowchart of the computing device  100  according to one or more exemplary embodiments, as illustrated in  FIGS. 2, 3, 4, 6, 7, 9, 10, 12, 15, 17-20, 23, 27, 29, 31-34, 36, 41, and 42 . 
     The controller  4420  may include a plurality of processors according to an operation environment of the computing device  100 . For example, the controller  4420  may include a processor operating in a low power mode of the computing device  100  and a processor operating in a normal mode of the computing device  100 . The controller  4420  may include a plurality of processors classified according to elements included in the computing device  100 . 
     The image processor  4470  processes image data received from the communication unit  4450  or stored in the memory  4440  such that the image data is displayable on the display unit  4431 . For example, signal processing on image data may be performed such that a screen as illustrated in  FIGS. 1, 5, 8, 11, 13, 14, 16A, 16B, 16C, 21, 22, 24, 25, 26, 28A, 28B, 30, 37, 38, 39, and 40  is displayed on the display unit  4431 . 
     The audio output unit  4480  outputs audio data received from the communication unit  4450  or audio data stored in the memory  4440 . Also, the audio output unit  4480  may output a sound signal (e.g., a notification sound) related to a function performed by the computing device  100 . The audio output unit  4480  may output a notification sound with respect to at least one of notification details illustrated in  FIGS. 28A and 28B . The audio output unit  4480  may include, for example, a speaker or a buzzer, but is not limited thereto. 
     The camera  4490  may obtain an image frame such as a still image or a video via an image sensor in a video call mode or a photographing mode. The camera  4490  may obtain a finger gesture image of the user of the computing device  100  and transmit the same to the controller  4420 . The controller  4420  may use the finger gesture image of the user described above to determine whether a theme item is selected, whether generation of content is canceled, whether generation of content is completed, or whether generated content is registered or posted, but usage of the finger gesture image is not limited thereto. An image captured by using the image sensor may be processed via the controller  4420  or an additional image processor. 
     An image frame processed by the camera  4490  may be stored in the memory  4440  or transmitted to the outside via the communication unit  4450 . The computing device  100  may include at least two cameras  4490  according to a configuration of the computing device  100 . 
       FIG. 45  is a structural diagram illustrating a system  4500  for providing personalized information according to an exemplary embodiment. Referring to  FIG. 45 , the system  4500  for providing personalized information may include a computing device  100 , smart glasses  4510 , a smart watch  4520 , another device  4530 , a server  4540 , and a network  4550 , but the configuration of the system  4500  for providing personalized information is not limited to this. 
     The smart glasses  4510 , the smart watch  4520 , and the other device  4530  may be devices owned by the user of the computing device  100 . For example, when an AR-based image as shown in  FIG. 40  is provided via the smart glasses  4510 , content of a theme item selected by using the smart glasses  4510  may be generated by using the computing device  100 . 
     Selection of a theme item by using the smart glasses  4510  may be performed, for example, by using an eye tracking method, but is not limited thereto. When one of theme items displayed by using the eye tracking method is selected, information about the selected theme item may be transmitted to the computing device  100 . Thus, the computing device  100  may display a GUI screen as illustrated in  FIG. 26 . 
     When a theme item is selected by using the smart glasses  4510 , the smart glasses  4510  may display the GUI screen as shown in  FIG. 26 . When the GUI screen as shown in  FIG. 26  is displayed on the smart glasses  4510 , the smart glasses  4510  may generate content according to a user input received by using a user input unit or a microphone of the smart glasses  4510 . 
     For example, the smart glasses  4510  may perform operations such as moving selection information displayed on the smart glasses  4510  by a user&#39;s gesture to a desired theme item, displaying a GUI screen for generating new content as shown in  FIG. 26  according to the number of times of blinking the eyes, returning to a previous screen, canceling an operation of generating content, or converting to another operational mode. 
     The smart glasses  4510  and the smart watch  4520  may transmit sensing values such as a condition or health information of the user to the computing device  100 . A user&#39;s condition may include, for example, information about fatigue of the user obtained by using an image sensor included in the smart glasses  4510 , but is not limited thereto. Health information may include, for example, a heart rate, blood sugar, and/or a body temperature obtained by using a bio sensor included in the smart watch  4520  described above, but is not limited thereto. 
     The computing device  100  may recommend a theme item by using a sensing value received from the smart glasses  4510  and/or the smart watch  4520  or provide information about a point of interest adjacent to a user&#39;s route. 
     When the other device  4530  is a desktop of the user, the other device  4530  may register and manage content transmitted by the computing device  100  based on a geographical location. Also, the other device  4530  may provide the computing device  100  with information about content registered to a geographical location according to a request of the computing device  100 . 
     The other device  4530  may be a computing device of a user different from the user of the computing device  100  or include a wearable device of a user who is with the user of the computing device  100 , but is not limited thereto. For example, the other device  4530  may include the car  1800  of  FIG. 18  or the another computing devices  1900  and  2000  of  FIGS. 19 and 20 . 
     If the other device  4530  is a smart watch of a person who is with the user of the computing device  100 , and health information of a person who is with the user of the computing device  100  is received from the smart watch, the computing device  100  may recommend a theme item based on the health information of the person who is with the user of the computing device  100 . 
     For example, if the other device  4530  is a computing device (e.g., a smart phone, a desktop, etc.) of a person who is with the user of the computing device  100 , the computing device  100  may receive from the other device  4530  geographical location-based context information (e.g., information about a theme item registered by the person who is with the user of the computing device  100  based on geographical location) of the person who is with the user of the computing device  100 , and recommend a theme item by using information about the received theme item. 
     Usage of the other device  4530  is not limited to the above examples. 
     The server  4540  may include at least one of a cloud server of the user of the computing device  100 , the server  700  illustrated in  FIGS. 7, 9, 10, 12, 15, and 17 , the server  2900  described with reference to  FIG. 29 , the server  3100  illustrated in  FIGS. 31, 32, and 33 , the server  4100  described with reference to  FIGS. 41 and 42 , and/or the SNS server  3300  described with reference to  FIGS. 33 and 34 , but is not limited thereto. 
     The network  4550  may be configured to transmit or receive data by using at least one of the communication methods described with reference to the communication unit  4450  illustrated in  FIG. 44 , but the configuration of the network  4550  is not limited thereto. 
     One or more exemplary embodiments can also be embodied as computer readable codes on a computer readable recording medium. The computer readable recording medium may be any data storage device that can store data which can be thereafter read by a computer system. Examples of the computer readable recording medium include read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, etc. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. 
     It should be understood that exemplary embodiments described herein should be considered in a descriptive sense only and not for purposes of limitation. Descriptions of features or aspects within each exemplary embodiment should typically be considered as available for similar features or aspects in other exemplary embodiments. 
     While one or more exemplary embodiments have been described with reference to the figures, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope as defined by the following claims.