Abstract:
A logo-enabled interactive map integrating social networking applications is provided. The interactive map may be configured to help end users discover and share information (e.g., events, deals, news occurrences, etc.) associated with a plurality of venues.

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
       [0001]    The present application claims priority to U.S. Provisional Patent Application No. 61/654,195, filed Jun. 1, 2012, the disclosure of which is incorporated herein in its entirety. 
     
    
     TECHNICAL FIELD 
       [0002]    Embodiments of the invention relate generally to geographical mapping applications and, more specifically, to a logo-enabled interactive map integrating social networking applications. 
       BACKGROUND 
       [0003]    Mapping applications are used for navigational purposes to aid end users in getting from one geographic point of interest to another. Unfortunately, traditional mapping applications present cluttered views of building outlines and often integrate elements that are not particularly useful to end users. Additionally, traditional mapping applications are typically limited to only providing information in response to specific geographic requests received from an end user. 
         [0004]    There is a desire to improve traditional mapping applications so that they provide information not only about geographical points of interest desired by an end user, but also to integrate non-geographical information based on various activity and interests associated with the end user. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0005]    The present invention is illustrated by way of example, and not by way of limitation, and will become apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout, and in which: 
           [0006]      FIG. 1  is a block diagram illustrating an exemplary computer network in which embodiments of the present invention may operate. 
           [0007]      FIG. 2  is a block diagram illustrating exemplary components of a map management platform illustrated in  FIG. 1 . 
           [0008]      FIG. 3A  is a flow diagram illustrating an embodiment of a method for conducting a search for venues, wherein  FIGS. 3B-3D  are screen shots illustrating various options, visual elements and search options integrated in the interactive map. 
           [0009]      FIGS. 4A and 4B  are flow diagrams illustrating embodiments of methods, respectively, for handling receipt of data and verifying the data received to be published on the interactive map. 
           [0010]      FIGS. 5A and 5B  are flow diagrams illustrating embodiments of methods, respectively, for enabling a trip planning tool and providing an optimized path of travel associated with the use of the trip planning tool, wherein  FIG. 5C  is a screen shot illustrating various visual elements associated with the aforementioned methods. 
           [0011]      FIGS. 6A and 6B  are flow diagrams illustrating embodiments of methods, respectively, for determining venue representations and determining their corresponding display on the interactive map, wherein  FIGS. 6C and 6D  are screen shots illustrating zoom levels incorporating venue priorities associated with the aforementioned methods. 
           [0012]      FIG. 7A  is a flow diagram illustrating an embodiment of a method for enabling a friend tracking tool, wherein  FIG. 7B  is a screen shot illustrating various visual elements associated with the aforementioned method. 
           [0013]      FIG. 8  is a flow diagram illustrating an embodiment of a method for correlating non-geographic communications on the interactive map. 
           [0014]      FIG. 9  illustrates a diagrammatic representation of a machine in the exemplary form of a computer system. 
       
    
    
     DETAILED DESCRIPTION 
       [0015]    In the following description, numerous details are set forth. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the present invention. 
         [0016]    Some portions of the detailed descriptions are presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of steps leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like. 
         [0017]    It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise, as apparent from the above discussion, it is appreciated that throughout the description, discussions utilizing terms such as “receiving”, “determining”, “identifying”, “verifying”, “generating”, “transmitting”, “processing”, “selecting”, “populating”, “displaying”, or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system&#39;s registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices. 
         [0018]    The present invention also relates to an apparatus for performing the operations herein. This apparatus may be specially constructed for the required purposes or it may comprise a general purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium, such as, but not limited to, any type of disk including floppy disks, optical disks, CD-ROMs and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic or optical cards, flash memory devices including universal serial bus (USB) storage devices (e.g., USB key devices) or any type of media suitable for storing electronic instructions, each of which may be coupled to a computer system bus. 
         [0019]    The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein or it may prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will be apparent from the description above. In addition, the present invention is not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the invention as described herein. 
         [0020]    The present invention may be provided as a computer program product, or software, that may include a machine-readable medium having stored thereon instructions, which may be used to program a computer system (or other electronic devices) to perform a process according to the present invention. A machine-readable medium includes any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine-readable (e.g., computer-readable) medium includes a machine (e.g., a computer) readable storage medium (e.g., read only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices, etc.), a machine (e.g., computer) readable transmission medium (non-propagating electrical, optical, or acoustical signals), etc. 
         [0021]      FIG. 1  is a block diagram illustrating an exemplary computer network  100  in which embodiments of the present invention may operate. Referring to  FIG. 1 , computer network  100  may be comprised of at least one map management platform  110 , a plurality of computing devices  122 A- 122 N associated with external data sources  120  and a plurality of computing devices  132 A- 132 N associated with end users  130 . Computing devices associated with external data sources  120  and end users  130  may be communicatively coupled, via a network  140 , to one or more computer processing and storage accessible components of map management platform  110 . Network  140  may be a private network (e.g., a local area network (LAN), wide area network (WAN), intranet, etc.) or a public network (e.g., the Internet). 
         [0022]    Map management platform  110  may be comprised of one or more computing components configured to handle various processes of the present invention, as described herein. For example, map management platform  110  may be comprised of an end user module  112 , a data collection module  114  and a mapping logistics module  116 . 
         [0023]    In one embodiment, end user module  112  may be configured to manage all aspects of an end user&#39;s interaction with the interactive map of the present invention. End user module  112  may be comprised of a plurality of components for processing instructions to execute methods associated with various features available to an end user on the interactive map. Referring to  FIG. 2 , end user module  112  may comprise, for example, an account manager  222 , a personalization component  224 , a trip routing component  226  and a friend tracking component  228 . 
         [0024]    In one embodiment, data collection module  114  may be configured to manage all aspects of data collected to be integrated in the interactive map of the present invention. Data collection module  114  may be comprised of a plurality of components for processing instructions to execute methods associated with collecting and integrating data into the interactive map. Referring to  FIG. 2 , data collection module  114  may comprise, for example, a data control manager  242 , a data source component  244 , an ingestion component  246  and a data verification component  248 . 
         [0025]    In one embodiment, mapping logistics module  116  may be configured to manage all aspects of geographic and non-geographic elements integrated in the interactive map of the present invention. Mapping logistics module  116  may be comprised of a plurality of components for processing instructions to execute methods associated with integrating geographic and non-geographic elements into the interactive map. Referring to  FIG. 2 , mapping logistics module  116  may comprise, for example, a map control manager  262 , a venue display component  264 , a non-geographic communication component  266  and a tile rendering component  268 . 
         [0026]    Those skilled in the art will appreciate that map management platform  110  may be configured with more or less modules and components to conduct the methods described herein with reference to  FIGS. 3A ,  4 A- 5 B,  6 A,  6 B,  7 A and  8 . As illustrated in  FIGS. 3A ,  4 A- 5 B,  6 A,  6 B,  7 A and  8 , each of corresponding methods  300 ,  400 ,  450 ,  500 ,  520 ,  600 ,  620 ,  700  and  800  may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (such as instructions run on a processing device), or a combination thereof. In one embodiment, methods  300 ,  400 ,  450 ,  500 ,  520 ,  600 ,  620 ,  700  and  800  may be performed by one or more processing components associated with modules  112 ,  114  and  116  of map management platform  110 . 
         [0027]      FIG. 3A  is a flow diagram illustrating a method  300  of conducting a search for venues using the interactive map, according to an embodiment of the invention. Referring to  FIG. 3A , method  300  may be initiated upon receiving, at block  302 , an indication to conduct a search on the interactive map. The interactive map may provide an end user with a plurality of search options including, but not limited to, a search field for receiving a search query, category filters for identifying certain venue types (e.g., bars, shopping, entertainment, etc.) of interest, a search based on stored venues previously identified by an end user (e.g., a venue stored as a “favorite” or any other similar personalization attribute), and system suggested venues using a recommendation search engine. Which of the foregoing search options employed may be determined, at blocks  304 ,  310 ,  314  and  318 , and corresponding actions may be taken, at blocks  306 ,  308 ,  312 ,  316 ,  320  and  322 , to display relevant venues on the interactive map. 
         [0028]    A notable search feature of the interactive map is an embodiment enabling a visual active search. Upon receiving, at block  304 , entry of a search query in a search field of the interactive map, venue representations (i.e., business logos, names, categorical icons, etc.) populated on the interactive map for a particular geographic location may be removed, at block  306 , in real-time as characters of the search query are entered in the search field to yield, at block  308 , matching venues. For example, an end user searching for a Starbucks venue in a defined geographic location will begin to enter the corresponding characters in the name “Starbucks”, resulting in non-matching venue representations being removed from the interactive map as additional characters are entered in the search field. 
         [0029]    In one embodiment, venues not matching characters of a search query entered in the search field may still be displayed on the interactive map. For example, an end user searching for “Joe&#39;s Coffee Shop” may see venue representations associated with the specific venue searched, as well as non-matching venue representations (e.g., associated with Starbucks) if a predefined association is made between a term in the search query (e.g., Coffee), or the specific venue searched, and the non-matching venue. In other words, a predefined association may be provided allowing for venue representations associated with Starbucks to be displayed, in addition to the desired venue being searched, whenever a search query for “Joe&#39;s Coffee Shop” or any search containing the term “coffee” is made. The predefined associations may be provided as means for making relevant recommendations to an end user, while still removing other non-matching venue representations (not having a predefined association) from the interactive map. 
         [0030]    Another notable search feature of the interactive map is an embodiment enabling a recommendation search engine to be engaged, at block  320 , to make venue recommendations. The end user may submit an inquiry (e.g., identify the best Chinese restaurants in Soho) and receive a recommendation of venues, identified as venue representations on the interactive map displaying the Soho area. The recommendation engine may provide visual representations of both a favorability rating of a venue and a “hotness” value associated with the venue. The favorability rating may be based on a score determined by applying an algorithm on aggregate ratings of a number of external and internal sources. A “hotness” value may be generated by using trending values (e.g., frequency of recent mentions, ratings and “likes” received) culled from external sources combined with information from users of the interactive map. The favorability rating and “hotness” value may be combined using a unique visual representation, allowing users to immediately identify desirable venues. 
         [0031]      FIGS. 3B-3D  are screen shots illustrating various options, visual elements and some of the search options, as described in conjunction with  FIG. 3A , integrated in the interactive map.  FIG. 3B  is a screen shot  330  illustrating a basic layout of the interactive map, which may provide a city location identification field  332 , a venue type search filter menu  334 , and listing tabs  336  and  338  comprising, respectively, deals and tweets corresponding to the area of the interactive map being viewed. Icons  336   b  and  338   b  illustrated next to venue representations on a main window  340  of the interactive map correspond, respectively, to deals and tweets listed under listing tabs  336  and  338 . For example, a deal  336   a  identified under listing tab  336  may be represented by a deal icon  336   b  (e.g., a dollar sign symbol) adjacent to the corresponding venue logo displayed on main window  340  of the interactive map. Similarly, a tweet identified under listing tab  338  may be represented by a tweet icon  338   b  (e.g., the Twitter bird logo) adjacent to the corresponding venue name displayed on main window  340  of the interactive map. 
         [0032]      FIG. 3C  is a screen shot  350  illustrating a pop-up window  352   a  associated with a venue representation  352 , as illustrated in  FIG. 3B , selected by an end user. Window  352   a  may overlay main window  340  of the interactive map. Window  352   a  may contain various information about the selected venue including, but not limited to, identifying to the end user what the venue is, where it is, how to contact it, what has happened at the venue recently, what is happening at the venue in the near future, what deals or specials are available, what people are saying about the venue, and what the venue looks like. Depending on the type of venue selected, additional information may be displayed, such as menus, movie showings and showtimes, movie previews, and parking rates. 
         [0033]      FIG. 3D  is a screen shot  360  illustrating the visual active search feature of the interactive map, as previously described in method  300 . When an end user begins to type a search query in search field  362 , venue representations matching characters entered in search field  362  are displayed on main window  340  of the interactive map, while venue representations that don&#39;t have the corresponding matching characters entered may be removed from the display of main window  340 . 
         [0034]      FIG. 4A  is a flow diagram illustrating a method  400  for handling data received to be published on or associated with a venue displayed on the interactive map, according to an embodiment of the invention. Referring to  FIG. 4A , method  400  may be initiated upon receiving, at block  402 , an indication to update or correct data associated with venues identified on the interactive map. Method  400  may make a determination, at block  404 , whether the source of data is being received from a verified data provider (e.g., Yellow Pages, Foursquare, Facebook, etc.) or from an end user. In method  400 , data received from a data provider may undergo an ingestion process, at blocks  406  and  408 , and data received from an end user may undergo an identification and verification process, at blocks  407  and  409 , prior to being published, at block  412 , on the interactive map. 
         [0035]    The ingestion process may pull external geo-tagged data based on business rules and schedules, aggregate the data in such a fashion as to make this data relevant to map users, and correlate the data with business venues maintained in a database associated with the interactive map. Once the geo-tagged data has been correlated, it may be provided on the interactive map using any one of a plurality of map presentation data formats. The geo-tagged data may additionally be pulled into an indexing tool for fast retrieval based on location and keywords. 
         [0036]      FIG. 4B  is a flow diagram illustrating a method  450  for verifying data received to be published on the interactive map or associated with a venue displayed on the interactive map, according to an embodiment of the invention. Referring to  FIG. 4B , method  450  may be initiated upon receiving, at block  452 , an indication to verify data for use in the interactive map. Method  450  may make a determination, at block  454 , whether to implement the verification process based on relevant input received from a user community, relevant input received from a data provider, credibility of the end user originating the data or a combination thereof. In method  450 , data to be verified based on input received from a user community may undergo a process, at blocks  456 ,  458  and  460 , and data to be verified based on input received from a data provider or credibility of the end user originating the data may undergo a process, at blocks  457 ,  459  and  460 , before the data is authorized, at block  462 , for use in the interactive map. 
         [0037]    When the user community is employed for the verification process, method  450  may receive, at block  456 , relevant data from one or more end users in the user community confirming validity of the data received from the originating end user. To advance and ensure a reliable verification process, credibility scores associated with end users in the user community may be identified, at block  458 . Similarly, when credibility of the end user originating the data is employed for the verification process, method  450  may identify, at block  457 , a credibility score associated with the end user originating the data. 
         [0038]    When a data provider is employed for the verification process, method  450  may receive, at block  459 , relevant data from one or more data providers to confirm validity of the data received from the originating end user. Relevant data received from the data provider may be comprised of, but is certainly not limited to, business information (e.g., address records, phone records, hours of operation, etc.), posted social activity (e.g., a recent check-in, a Facebook “like”, recent reviews, etc.), posted financial activity or any combination thereof. 
         [0039]    Regardless of the review type selected for the verification process of method  450 , a determination may be made, at block  460 , whether verification threshold values have been met. When verification threshold values are met (e.g., a minimum number of end users confirming validity of data, acceptable credibility scores, etc.), then the data received from the originating user may be validated and authorized, at block  462 , for use in the interactive map. 
         [0040]      FIG. 5A  is a flow diagram illustrating a method  500  for enabling a trip planning tool on the interactive map, according to an embodiment of the invention. Referring to  FIG. 5A , method  500  may be initiated upon receiving, at block  502 , an indication to identify a path of travel to multiple venues, which may be specified by an end user or based on a system recommendation. In determining the path of travel to multiple venues, pre-defined user preferences may be taken into consideration, at block  504 , prior to determining, at block  506 , the optimum path of travel and displaying, at block  508 , the optimum travel path to the end user. 
         [0041]    Method  500  may make a determination, at block  510 , whether there are any recommended points of interest or deals available on the suggested optimum path of travel and, if so, they may be incorporated, at block  512 , into the suggested optimum path of travel displayed to the end user. Recommendations incorporated into the optimum path of travel may be based on user preferences explicitly and implicitly gathered. Explicit preferences may be identified using an option panel that allows users to select favorite categories, tags, events, specials, and deals. Implicit preferences may be identified using information gathered from past searches, businesses clicked on, the favorability rating and the hotness value of venues, and data gathered from social media connections. 
         [0042]      FIG. 5B  is a flow diagram illustrating a method  520  for determining an optimum path of travel, according to an embodiment of the invention. Referring to  FIG. 5B , method  520  may be initiated upon receiving, at block  522 , an indication to execute a travel optimization process. In determining an optimum path of travel to multiple venues, one or more possible routes may be retrieved (e.g., by external sources providing direction routing services), at block  524 , to identify the route presenting the best path of travel to the selected venues. 
         [0043]    In determining the optimum path of travel, additional information may be taken into consideration pertaining to the multiple venues selected. For example, the hours of operation for a venue may be identified, at block  526 , the time to reach a venue based on modes of transportation selected and nearby parking or transit stops may be identified, at block  528 , the costs associated with parking and transit may be identified, at block  530 , other applicable information associated with travel to a venue or a combination thereof. Upon consideration of the various inputs, an optimal path of travel may be generated, at block  532 , for presentation to an end user. 
         [0044]      FIG. 5C  is a screen shot  540  illustrating directions for a suggested optimum path of travel  542 , which may incorporate logos  542   a  and  542   b  associated with venues, respectively, for landmark purposes and to suggest points of interest along the travel path. In one embodiment, venues that an end user&#39;s friends have highlighted (e.g., via Facebook) may be suggested along the path of travel, along with venues that are similar to the venues that the end user has previously highlighted. Additionally, a listing of deals, specials and events  544  may be provided along the suggested optimum path of travel. 
         [0045]      FIG. 6A  is a flow diagram illustrating a method  600  for determining venue representations and determining their corresponding display on the interactive map, according to an embodiment of the invention. Referring to  FIG. 6A , method  600  may be initiated upon receiving, at block  602 , an indication to populate the interactive map with venue representations. Representation types (i.e., text, logos, category icons, etc.) associated with venues may be identified, at block  604 , to be displayed on the interactive map. Method  600  may then identify, at block  606 , the placement position and orientation of venue representations on the interactive map, taking into consideration the number of venue representations to be displayed, equidistant locations between adjacent venue representations and rotational aspects for placement of the venue representations corresponding to their location on a street where their storefronts reside, respectively, at blocks  606   a ,  606   b  and  606   c . Thereafter, the interactive map may be populated, at block  608 , with the venue representations. 
         [0046]      FIG. 6B  is a flow diagram illustrating a method  620  for determining venue representations based on a zoom level of the interactive map, according to an embodiment of the invention. Referring to  FIG. 6B , method  620  may be initiated upon detecting, at block  622 , a zoom level associated with the interactive map displayed. Method  620  may make a determination, at block  624 , whether the number of venue representations (e.g., venue logos) to be displayed exceeds a predefined display threshold value for the detected zoom level. If an affirmative determination is made, then method  620  may be configured to identify, at block  626 , priority levels associated with the venue representations and display, at block  628 , venue representations with the highest priority level within limitations of the display threshold value. A subsequent determination may be made, at block  630 , to determine whether any identified or prevailing venue representations selected for display are subject to collision (e.g., overlap on the interactive map). If an affirmative determination is made, then method  620  may be configured to further identify, at block  632 , priority levels of conflicting venue representations and display, at block  634 , venue representations with higher priority levels. 
         [0047]    To determine priority levels associated with venues, stored venues previously identified by an end user, the recommendation search engine or a combination thereof (previously described in conjunction with method  300  of  FIG. 3A ) may be employed by method  620 . For example, the recommendation search engine may retrieve rating information associated with venues to assign priority levels. Rating information may be based on popularity of a venue, as determined by independent venue rating sources, ratings provided by an end user community or a combination thereof. Alternatively, priority levels associated with venues may be determined based on sponsorships relating to the venues. Additionally, priority may be given to venues that have a high “hotness” value, as previously described in conjunction with method  300  of  FIG. 3A . 
         [0048]      FIG. 6C  is a screen shot  640  illustrating a zoomed-in view of an area of the interactive map having a plurality of venue representations  642  comprising a first venue logo  642   a , a second venue logo  642   b , a third venue logo  642   c  and a fourth venue logo  642   d  displayed on a city block.  FIG. 6D  is a screen shot  660  illustrating a zoomed-out view of the same area of the interactive map illustrated in screen shot  640  of  FIG. 6C . As can be seen, focusing on the same city block in screen shot  660 , only first venue logo  642   a  and second venue logo  642   b  are permitted to be displayed. The determination to display first venue logo  642   a  and second venue logo  642   b  and to remove from display third venue logo  642   c  and fourth venue logo  642   d  may be based on the priority levels associated with each of their corresponding venues. Which of the plurality of venue representations  642  are displayed at a particular zoom level of the interactive map may be determined, for example, by method  620  of  FIG. 6B . 
         [0049]      FIG. 7A  is a flow diagram illustrating a method  700  for enabling a friend tracking tool on the interactive map, according to an embodiment of the invention. Referring to  FIG. 7A , method  700  may be initiated upon receiving, at block  702 , an indication to identify venues associated with an end user&#39;s travel, which may include current or past points of travel. Method  700  may make a determination, at block  704 , whether the travel data sought is enabled to be publicly broadcast. If the end user&#39;s travel data is not publicly available, a notification may be generated, at block  706 , informing a requesting end user that the travel data for the desired end user is unavailable. Otherwise, method  700  may proceed to identify and retrieve, at blocks  708 ,  710 ,  712  and  714 , various information (e.g., locations visited, communications posted relating to locations visited, etc.), while taking into consideration limitations set by a broadcasting end user, to be displayed, at block  716 , on the interactive map of the requesting end user.  FIG. 7B  is a screen shot  720  illustrating elements of the friend tracking tool as it may be displayed to the requesting end user. 
         [0050]      FIG. 8  is a flow diagram illustrating a method  800  for correlating non-geographic communications on the interactive map, according to an embodiment of the invention. Referring to  FIG. 8 , method  800  may be initiated upon receiving, at block  802 , an indication to correlate and display non-geographic communications on the interactive map. Geographic points where non-geographic communications are to be displayed, for example in association with a venue, may be identified, at block  804 , and logged, at block  806 , into metadata associated with a corresponding map tile comprising the venue of interest. When the corresponding map tile is loaded, at block  808 , for display on the interactive map, the geographic points may be extracted, at block  810 , from the map tile in order to display, at block  812 , an icon representative of the non-geographic communication on the loaded map tile. Method  800  may make a determination, at block  814 , whether the non-geographic communication remains relevant and, if not, it may purge, at block  816 , that communication from metadata correlating the same to a venue on the interactive map. 
         [0051]    The interactive map may be comprised of a base layer map configured to receive elements representing geographic features and landmarks. A set of geographically placed venues, each associated with one or more categories, may be layered on the base layer map. A rendering tool may be made available to generate venue representations on the interactive map, which may be broken up into one or more pre-defined quadrants known as “map tiles”. A map tile is built comprising all venues in all categories. Additional map tiles may also be constructed for each zoom level, for each category and any other applicable display criteria. Map tiles may be organized by city and location, wherein each map tile may be given a unique ID so that one or more map tiles in a map tile set may be easily retrieved when constructing the interactive map. Tile sets may be stored locally (e.g. in one or more servers determined to be closest in location to an end user engaging the interactive map) or, if a particular map tile is not available locally, it may be pulled from a repository and saved locally (“edge caching”) for future use. 
         [0052]    It should be noted that the sequence of operations described in conjunction with methods  300 ,  400 ,  450 ,  500 ,  520 ,  600 ,  620 ,  700  and  800  may be different from that illustrated, respectively, in corresponding  FIGS. 3A ,  4 A- 5 B,  6 A,  6 B,  7 A and  8 . For example, the operations at block  318  illustrated in method  300  of  FIG. 3A  may be executed before the operations at blocks  304 ,  310  and  314 . 
         [0053]      FIG. 9  illustrates a diagrammatic representation of a machine in the exemplary form of a computer system  900  within which a set of instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed. In alternative embodiments, the machine may be connected (e.g., networked) to other machines in a local area network (LAN), an intranet, an extranet, or the Internet. The machine may operate in the capacity of a server or a client machine in a client-server network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a personal digital assistant (PDA), a cellular telephone, a web appliance, a server, a network router, switch or bridge, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein. 
         [0054]    The exemplary computer system  900  may be comprised of a processing device  902 , a main memory  904  (e.g., read-only memory (ROM), flash memory, dynamic random access memory (DRAM) (such as synchronous DRAM (SDRAM) or Rambus DRAM (RDRAM), etc.), a static memory  906  (e.g., flash memory, static random access memory (SRAM), etc.), and a data storage device  918 , which communicate with each other via a bus  930 . 
         [0055]    Processing device  902  represents one or more general-purpose processing devices such as a microprocessor, central processing unit, or the like. More particularly, the processing device may be complex instruction set computing (CISC) microprocessor, reduced instruction set computer (RISC) microprocessor, very long instruction word (VLIW) microprocessor, or processor implementing other instruction sets, or processors implementing a combination of instruction sets. Processing device  902  may also be one or more special-purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), network processor, or the like. Processing device  902  is configured to execute processing logic  826  for performing the operations and steps discussed herein. 
         [0056]    Computer system  900  may further include a network interface device  908 . Computer system  900  also may include a video display unit  910  (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)), an alphanumeric input device  912  (e.g., a keyboard), a cursor control device  914  (e.g., a mouse), and a signal generation device  916  (e.g., a speaker). 
         [0057]    Data storage device  918  may include a machine-readable storage medium (or more specifically a computer-readable storage medium)  928  having one or more sets of instructions (e.g., software  922 ) embodying any one or more of the methodologies of functions described herein. For example, software  922  may store instructions to manage a logo-enabled interactive map. Software  922  may also reside, completely or at least partially, within main memory  904  and/or within processing device  902  during execution thereof by computer system  900 ; main memory  904  and processing device  902  also constituting machine-readable storage media. Software  922  may further be transmitted or received over a network  920  via network interface device  908 . 
         [0058]    Machine-readable storage medium  928  may also be used to store instructions for managing a logo-enabled interactive map. While machine-readable storage medium  928  is shown in an exemplary embodiment to be a single medium, the term “machine-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine-readable storage medium” shall also be taken to include any medium that is capable of storing or encoding a set of instruction for execution by the machine and that causes the machine to perform any one or more of the methodologies of the present invention. The term “machine-readable storage medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media. 
         [0059]    Whereas many alterations and modifications of the present invention will no doubt become apparent to a person of ordinary skill in the art after having read the foregoing description, it is to be understood that any particular embodiment shown and described by way of illustration is in no way intended to be considered limiting. Therefore, references to details of various embodiments are not intended to limit the scope of the claims, which in themselves recite only those features regarded as the invention.