Patent Publication Number: US-11663279-B2

Title: Filter list generation system

Description:
FIELD OF USE 
     Aspects of the disclosure relate generally to data processing, and hardware and software related thereto. More specifically, aspects of the disclosure may provide systems and methods for generating and displaying user interfaces for online search. 
     BACKGROUND 
     Online shopping websites, for example, websites that trade new and/or used cars, may provide search filters on a web page to help the users to refine their search results. By using the search filters, a user may be able to eliminate search results that do not have a feature he is interested in. For example, a “color of the car” filter may help users to limit their search results to contain only cars that have a desirable color. However, since different users may care about different features, the website may need to provide a lot of different filters for a certain type of product. Sometimes, a user may not be familiar with the location of each filter on the web page and therefore may not be able to utilize the filter even if a desirable filter is provided. Other times, a user may need to scroll down through the web browser in order to find the filter he wants to use. Not being able to utilize desirable filters conveniently may lead to less accurate search results and therefore reducing the user&#39;s satisfaction with the website. 
     SUMMARY 
     The following presents a simplified summary of various aspects described herein. This summary is not an extensive overview, and is not intended to identify key or critical elements or to delineate the scope of the claims. The following summary merely presents some concepts in a simplified form as an introductory prelude to the more detailed description provided below. 
     Aspects discussed herein may provide a computer-implemented method for generating a filter list and displaying it on a graphical user interface in order to facilitate the user to refine his online search. For example, in at least one embodiment, a web page being viewed in a web browser may be obtained. The web browser may display a portion of the web page. At least one data item in the displayed portion of the web page may be determined. Each of the at least one data item corresponds to a feature of a product. At least one filter corresponding to the displayed at least one data item may be determined. The at least one filter may comprise a plurality of values associated with the corresponding data item and a weight. A filter list for a class associated with the product may be generated. The filter list may comprise the at least one filter. The filter list may be used to refine the search for a class of product, e.g., cars. The at least one filter on the filter list may be automatically ordered based on the weight of each filter. A graphical user interface comprising the filter list and a search page may be generated. The search page may comprise a plurality of search results corresponding to the class associated with the product. The search results may be determined based on at least one filter on the filter list. The graphical user interface may be displayed using the web browser. 
     In yet another embodiment, the method may further comprise obtaining input data indicating a selected data item displayed in the web page, and updating the weight of the filter associated with the selected data item indicated in the input data. 
     In yet another embodiment, the computer-implemented method may further comprise obtaining input data to scroll through the web page, displaying a second portion of the web page using the web browser, identifying at least one second data item in the second portion of the web page displayed using the web browser, determining at least one additional filter based on the input data, updating the weight of the at least one additional filter based on the input data and the display of the at least one second data item within the second portion of the web page, and generating a second filter list to include at least one additional filter corresponding to the at least one second data item. 
     In yet another embodiment, the computer-implemented method may further comprise determining a filter in the at least one filter by identifying a token in the displayed portion of the web page, wherein the token comprises a semantic tag, determining the token corresponding to a data item for a feature of the product, and selecting a filter corresponding to the data item associated with the token in the displayed portion of the web page. 
     In yet another embodiment, the computer-implemented method may further comprise determining display characteristics of a computing device executing the web browser, determining a filter area and a content area of the graphical user interface based on the display characteristics, formatting the display of the filter list within the graphical user interface based on the filter area, and formatting the display of the search page within the graphical user interface based on the content area. 
     In yet another embodiment, the computer-implemented method may further comprise selecting a portion of the at least one filter on the filter list to be displayed in the filter area based on the weight associated with each of the filters on the filter list. 
     In yet another embodiment, the computer-implemented method may further comprise storing an indication of the at least one filter using a user profile, obtaining a second web page comprising information related to the class associated with the product, determining a second set of data items displayed in the second web page, generating a second set of filters based on the second set of data items, updating the weights of the filters in the second set of filters, generating a second filter list based on the updated weights of the filters in the second set of filters, generating a second graphical user interface comprising the second filter list and a second search page comprising a plurality of search results corresponding to the class associated with the product, and displaying the second graphical user interface using the web browser. 
     In yet another embodiment, the computer-implemented method may further comprise obtaining, for each data item, a default weight associated with the data item, the default weight generated based on a cohort of users that have viewed the web page, and updating the weight for each filter associated with each data item based on the default weight for the data item. 
     Corresponding apparatus, systems, and computer-readable media are also within the scope of the disclosure. 
     These features, along with many others, are discussed in greater detail below. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The present disclosure is illustrated by way of example and not limited in the accompanying figures in which like reference numerals indicate similar elements and in which: 
         FIG.  1    depicts an example of a filter list generating system in which one or more aspects described herein may be implemented; 
         FIG.  2    depicts an example computing device in accordance with one or more aspects described herein; 
         FIG.  3    depicts a flow diagram of an example method for generating filter lists in accordance with one or more illustrative aspects discussed herein; 
         FIG.  4    depicts a flow diagram of an example method for updating the weight of one or more filters in a filter list in accordance with one or more illustrative aspects discussed herein; 
         FIG.  5 A  and  FIG.  5 B  depict an example of web pages in accordance with one or more illustrative aspects discussed herein; 
         FIG.  6    depicts an example of a user profile that stores information regarding one or more filters in accordance with one or more illustrative aspects discussed herein; 
         FIG.  7    depicts an example of a graphical user interface displayed to a user in accordance with one or more illustrative aspects discussed herein. 
     
    
    
     DETAILED DESCRIPTION 
     In the following description of the various embodiments, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration various embodiments in which aspects of the disclosure may be practiced. It is to be understood that other embodiments may be utilized and structural and functional modifications may be made without departing from the scope of the present disclosure. Aspects of the disclosure are capable of other embodiments and of being practiced or being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein are for the purpose of description and should not be regarded as limiting. Rather, the phrases and terms used herein are to be given their broadest interpretation and meaning. The use of “including” and “comprising” and variations thereof is meant to encompass the items listed thereafter and equivalents thereof as well as additional items and equivalents thereof. 
     By way of introduction, aspects discussed herein may relate to systems, methods, techniques, apparatuses, and non-transitory computer-readable media for generating filter lists to facilitate users to refine their online search. 
       FIG.  1    shows an operating environment  100 . The operating environment  100  may include at least one client device  110 , at least one processing server system  130 , and/or at least one data store server system  120  in communication via a network  140 . It will be appreciated that the network connections shown are illustrative and any means of establishing a communications link between the computers may be used. The existence of any of various network protocols such as Transmission Control Protocol/Internet Protocol (TCP/IP), Ethernet, FTP, HTTP and the like, and of various wireless communication technologies such as GSM, CDMA, WiFi, and LTE, is presumed, and the various computing devices described herein may be configured to communicate using any of these network protocols or technologies. Any of the devices and systems described herein may be implemented, in whole or in part, using one or more computing systems described with respect to  FIG.  2   . 
     Client devices  110  may display web pages and/or graphical user interfaces, and/or interact with users&#39; input data as described herein. Data store server systems  120  may store a variety of data, such as user profiles that comprise information regarding filters and/or filter lists as described herein. Processing server systems  130  may exchange data with client devices  110 , generate and/or update filter lists, generate web pages and/or graphical user interfaces as described herein. However, it should be noted that any computing device in the operating environment  100  may perform any of the processes and/or store any data as described herein. The processing server systems  130  and/or data store server systems  120  may be publicly accessible and/or have restricted access. Access to a particular server system may be limited to particular client devices  110 . Some or all of the data described herein may be stored using one or more data stores. Data stores may include, but are not limited to relational databases, hierarchical databases, distributed databases, in-memory databases, flat file databases, Extensible Markup Language (XML) databases, structured Query Language (SQL) databases, graph databases, and/or a combination thereof. Any file system may be used to store data using a database and/or flat file as appropriate. The network  140  may include a local area network (LAN), a wide area network (WAN), a wireless telecommunications network, and/or any other communication network or combination thereof. 
     The data transferred to and from various computing devices in operating environment  100  may include secure and sensitive data, such as confidential documents, customer personally identifiable information, and account data. Therefore, it may be desirable to protect transmissions of such data using secure network protocols and encryption, and/or to protect the integrity of the data when stored on the various computing devices. A file-based integration scheme or a service-based integration scheme may be utilized for transmitting data between the various computing devices. Data may be transmitted using various network communication protocols. Secure data transmission protocols and/or encryption may be used in file transfers to protect the integrity of the data such as, but not limited to, File Transfer Protocol (FTP), Secure File Transfer Protocol (SFTP), and/or Pretty Good Privacy (PGP) encryption. In many embodiments, one or more web services may be implemented within the various computing devices. Web services may be accessed by authorized external devices and users to support input, extraction, and manipulation of data between the various computing devices in the operating environment  100 . Web services built to support a personalized display system may be cross-domain and/or cross-platform, and may be built for enterprise use. Data may be transmitted using the Secure Sockets Layer (SSL) or Transport Layer Security (TLS) protocol to provide secure connections between the computing devices. Web services may be implemented using the WebSocket Security (WS-S) standard, providing for secure SOAP messages using XML encryption. Specialized hardware may be used to provide secure web services. Secure network appliances may include built-in features such as hardware-accelerated SSL and HTTPS, WS-Security, and/or firewalls. Such specialized hardware may be installed and configured in the operating environment  100  in front of one or more computing devices such that any external devices may communicate directly with the specialized hardware. 
     Turning now to  FIG.  2   , a conceptual illustration of a computing device  200  that can be used to perform any of the techniques as described herein is shown. The computing device  200  can include a processor  203  for controlling an overall operation of the computing device  200  and its associated components, including RAM  205 , ROM  207 , input/output device  209 , communication interface  211 , and/or memory  215 . A data bus can interconnect processor(s)  203 , RAM  205 , ROM  207 , memory  215 , I/O device  209 , and/or communication interface  211 . In some embodiments, computing device  200  can represent, be incorporated in, and/or include various devices such as a desktop computer, a computer server, a mobile device, such as a laptop computer, a tablet computer, a smartphone, any other types of mobile computing devices, and the like, and/or any other type of data processing device. 
     Input/output (I/O) device  209  can include a microphone, keypad, touch screen, and/or stylus through which a user of the computing device  200  can provide input, and can also include one or more of a speaker for providing audio output and a video display device for providing textual, audiovisual, and/or graphical output. Software can be stored within memory  215  to provide instructions to processor  203  allowing computing device  200  to perform various actions. Memory  215  can store software used by the computing device  200 , such as an operating system  217 , application programs  219 , and/or one or more data stores  221 . The various hardware memory units in memory  215  can include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. Memory  215  can include one or more physical persistent memory devices and/or one or more non-persistent memory devices. Memory  215  can include, but is not limited to, random access memory (RAM)  205 , read only memory (ROM)  207 , electronically erasable programmable read only memory (EEPROM), flash memory or other memory technology, optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by processor  203 . 
     Communication interface  211  can include one or more transceivers, digital signal processors, and/or additional circuitry and software for communicating via any network, wired or wireless, using any protocol as described herein. It will be appreciated that the network connections shown are illustrative and any means of establishing a communications link between the computers can be used. The existence of any of various network protocols such as TCP/IP, Ethernet, FTP, Hypertext Transfer Protocol (HTTP) and the like, and various wireless communication technologies such as Global system for Mobile Communication (GSM), Code-division multiple access (CDMA), WiFi, and Long-Term Evolution (LTE), is presumed, and the various computing devices described herein can be configured to communicate using any of these network protocols or technologies. 
     Processor  203  can include a single central processing unit (CPU) (and/or graphic processing unit (GPU)), which can include a single-core or multi-core processor along with multiple processors. Processor(s)  203  and associated components can allow the computing device  200  to execute a series of computer-readable instructions to perform some or all of the processes described herein. Although not shown in  FIG.  2   , various elements within memory  215  or other components in computing device  200 , can include one or more caches including, but not limited to, CPU caches used by the processor  203 , page caches used by the operating system  217 , disk caches of a hard drive, and/or database caches used to cache content from data store  221 . For embodiments including a CPU cache, the CPU cache can be used by one or more processors  203  to reduce memory latency and access time. A processor  203  can retrieve data from or write data to the CPU cache rather than reading/writing to memory  215 , which can improve the speed of these operations. In some examples, a database cache can be created in which certain data from a data store  221  is cached in a separate smaller database in a memory separate from the data store, such as in RAM  205  or on a separate computing device. For instance, in a multi-tiered application, a database cache on an application server can reduce data retrieval and data manipulation time by not needing to communicate over a network with a back-end database server. These types of caches and others can be included in various embodiments, and can provide potential advantages in certain implementations of devices, systems, and methods described herein, such as faster response times and less dependence on network conditions when transmitting and receiving data. 
     Although various components of computing device  200  are described separately, functionality of the various components can be combined and/or performed by a single component and/or multiple computing devices in communication without departing from the invention. 
       FIG.  3    depicts a flow diagram of an example method  300  for generating filter lists. Some or all of the steps of method  300  may be performed using one or more computing devices as described herein, including, for example, computing device  200 , or computing devices in  FIG.  1   . One or more steps of the method may be rearranged, omitted, and/or otherwise modified, and/or other steps may be added as appropriate. 
     At step  303 , a determination may be made as to whether a request for a web page is received. For example, the determination may be made by the client device  110  in  FIG.  1    based on a user&#39;s input command. If a request for a web page is received, the request may be forwarded, for example, from the client device  110  via the network  140  to the processing server system  130 . The processing server system  130  may obtain the web page, for example, from the data store server system  120 , and send the web page to the client device  110 . 
     At step  305 , at least a portion of the web page may be displayed in a web browser, such as a web browser on the client device  110 . Depending on how much content is included in the web page and the size of the web browser, either the entire web page or a portion of the web page may be displayed. 
       FIGS.  5 A- 5 B  show examples of a web page being displayed. For example, the web browser  505  may display a web page on a car sale website. In particular, the web page may display introduction information regarding a certain model of a car. In  FIG.  5 A , the web browser  505  may show a picture  508  of the car and two data items  510  and  520 , each data item being associated with a feature of the car. Data item  510  may be associated, for example, with the feature “exterior color of the car.” An “Edit” button  512  may be next to data item  510 . If the user clicks the “Edit” button  512 , a selection list may be expanded and may display multiple choices regarding the available colors of this model of the car. For example, this model may have cars with an exterior color of either blue, red, or black, and therefore the selection list may comprise blue, red, and black. The user may choose the desired color. In the depicted example, the user chose “black,” but other choices are possible. Based on the choice the user made, picture  508  may show a car with a corresponding color. If the choice is changed, the color of the picture may be changed, or the price of the car (which may also be depicted) may be adjusted. Similarly, data item  520  may be associated with the feature “interior color of the car.” For example, if the user has never clicked the “Edit” button  522  or otherwise indicated his interior color preference, then a “No Preference” may be shown in data item  520 . Picture  508  and data items  510  and  520  may be only a portion of the web page. There may be a scroll bar  525  on the right side of the web browser  505 . The user may scroll up and down to adjust which portion of the web page he wants to view. Currently as shown in  FIG.  5 A , only a top portion  506  of the web page may be displayed. 
       FIG.  5 B  shows the web browser  505  displaying a second portion  528  of the web page after the user scrolls the scroll bar  525  down. The second portion  528  of the web page may show other data items such as a data item  530 ,  535 , or  540 . Data item  530  may be associated with the feature “maximum seating capacity of a car.” For example, the maximum seating capacity of this car may be 5 passengers. Data item  535  may be associated with the feature “warranty length of a car.” For example, the warranty length of this car may be 3 years. The second portion  528  of the web page may also display one or more other data item  540 . The web page may comprise other portions. For example, if the user scrolls the scroll bar  525  further down, then other portions with additional information regarding this car may be displayed. 
     Turning back to  FIG.  3   , at step  310 , at least one data item in the displayed portion of the web page may be determined, wherein each of the at least one data item may correspond to a feature of a product. For example, the data item may be one or more of data item  510 ,  520 ,  530 ,  535 , or  540  in  FIGS.  5 A- 5 B . A data item may be determined based on a determination that the user may be interested in the feature that the data item is associated with. The user&#39;s interest may be detected based on the user&#39;s behavior when viewing the web page. For example, the web page in  FIGS.  5 A- 5 B  may comprise data items associated with tens or hundreds of features of a car, and if the user directly scrolls down to the second portion  528  of the web page, then a determination that the user may be interested in the maximum seating capacity feature may be made. Additional examples of how to determine the data items will be discussed in more detail with respect to  FIG.  4   . 
     At step  315 , a determination may be made as to whether a filter that is associated with the determined data item is detected. If a filter is detected, then the method may proceed to step  316 . If a filter is not detected, then the method may proceed to step  318 . For example, a user profile may be stored and comprise information regarding multiple filters. A filter may comprise a plurality of values associated with the corresponding data item and a weight. The filters may be used to generate a filter list to help the user refining searching results during the process of a search. For example,  FIG.  6    depicts an example of a user profile  600 . In the example shown in  FIG.  6   , the user profile  600  has five columns, but any number of columns may be used. The first column  605  may be the user ID. The user ID may be assigned when the user registers an account associated with the web page, for example, a car dealing website that provides the web page, and/or assigned based on the address of the client device  110 . The second column  610  may be the class of the product. Different classes of the product may have different filters. For example, if the class is cars, then filters may comprise exterior color, interior colors, maximum seats, etc. However, if the class is clothes, then filters may comprise sizes, materials, etc. In the depicted example, the class of product is cars, but other options are possible. The third column  615  may be the indication of filters. In the depicted example, three filters, exterior color filter  640 , interior color filter  655 , and maximum seats filter  670  are shown, but others are possible. The fourth column  620  may be a plurality of values associated with each filter. In the depicted example, the exterior color filter  640  may comprise three values, black, red, and blue, but other values are possible. Interior color filter  655  may comprise two values, silver and brown, but other values are possible. Maximum seat filter  670  may comprise three values, less than 5, between 5-7, and more than 7, but other values are possible. 
     The fifth column  625  may be the weight of each filter. The weight may be used to order the filters when a filter list is generated. For example, a filter with a greater weight may be ordered higher in a filter list and displayed in a more significant location that may be more likely to attract the user&#39;s attention. For example, a filter having the greatest weight may be ordered the highest, and a filter having the second greatest weight may be ordered the second-highest. A default weight of each filter may be assigned prior to any information regarding the user is obtained. For example, a default weight may be assigned manually based on a network administrator&#39;s preference. For example, a default weight may be assigned based on a cohort of users that have viewed the web page. For example, a default weight may be assigned based on an average weight of this filter among all users in the user profile. For example, a default weight may be assigned equally to each filter. If more than one filters have the same weight, alphabetical order may be used if a filter list is generated. 
     At step  316 , the weight of the filter may be updated based on the data items determined at step  310 . For example, if it is determined that the user may be interested in data item  510 , e.g., the exterior color of the car, then more weight may be assigned to the exterior color filter  640 . 
     At step  318 , a new filter may be added, for example, in the user profile  600 . For example, the data item determined at step  310  may be data item  535  in  FIG.  5 B . Since the user profile  600  may not have a filter associated with warranty length, then such a filter may be generated and added into the user profile  600 . A default weight may be assigned similar to what may be discussed above. A plurality of values associated with the data items may be generated. For example, the plurality of values may be created by a network administrator manually, or may be found from other user profiles or databases that have already comprised the filter. 
     At step  320 , a determination may be made as to whether a request to generate a filter list is received. For example, if the user requests to open another web page to search for cars, then the processing server system  130  may determine a filter list should be generated and then displayed to the user, so that the user could use the filter list to refine his search. For example, the user may use the exterior color filter  640  and select the value “black” to eliminate search results that comprise a car of a color other than black. 
     If a request to generate a filter list is received, the method may proceed to step  325 . At step  325 , a filter list may be generated. The filter list may comprise one or more filters of a class associated with the product. The one or more filters may be automatically ordered on the filter list based on the weight of each filter. For example, based on the weight of each filter in user profile  600 , a filter list may order the exterior color filter  640  higher than other filters since, in this example the exterior color filter  640  has the highest weight. The filter list may order the maximum seats filter  670  the second-highest since, in this example, the maximum seats filter  670  has the second-highest weight. The filter list may order the interior color filter  655  lower than others since, in this example, the interior color filter  655  has the lowest weight. 
     At step  330 , a graphical user interface may be generated and displayed. The graphical user interface may comprise the filter list generated at step  325 , and a search page comprising a plurality of search results corresponding to the class associated with the product. The search results may be determined based on at least one filter on the filter list. The graphical user interface may be displayed using the web browser. 
     For example, the display characteristics of a computing device executing the web browser may be determined. A filter area and a content area of the graphical user interface based on the display characteristics may be determined. The display of the filter list within the graphical user interface may be formatted based on the filter area, and the display of the search page within the graphical user interface may be formatted based on the content area. For example, the display characteristics may comprise the size and the resolution of the graphical user interface. For example, the graphical user interface on a mobile device may be different from the graphical user interface displayed on a laptop, since the mobile device may have a smaller screen and therefore should contain less information in order to prevent the displayed information from being obscured. For example, each filter on the filter list displayed on a laptop may be expanded to display different options (e.g., an expanded selection list comprising the option of black, blue, and red), while each filter on the filter list displayed on a mobile device may not be expanded without the user&#39;s input instruction. A portion of the filters on the filter list to be displayed in the filter area may be selected based on the weight associated with each of the filters on the filter list. For example, if it is determined that due to the limited space of the web page, only some of the filters may be displayed. A plurality of filters that are ordered the highest may be selected and displayed. Another plurality of filters that are ordered the lowest may not be selected and displayed. 
       FIG.  7    shows an example of a graphical user interface  700 . The graphical user interface  700  may be displayed in the web browser  505  on client device  110 . On the left side, a filter list  705  may be displayed. The filter list  705  may be generated based on user profile  600 , and comprise multiple filters. For example, such as may be depicted, there may be three filters. For example, consistent with the particular example described in  FIG.  6   , the exterior color filter  640  may be ordered highest, the maximum seats filter  670  may be ordered the second-highest, and the interior color filter  655  may be ordered the lowest. Other orderings or numbers of filters are possible. Due to the size of the graphical user interface  700 , it may not have enough space to display all three filters and therefore only the top two of the three filters may be displayed. As discussed herein, the filter that is ordered the highest may be displayed in the most significant location that may be most likely to attract the user&#39;s attention. For example, such as may be depicted in  FIG.  7   , the filter list  705  may be shown at the left sidebar of the graphical user interface  700 , and the most significant location may be the top portion of the left sidebar. 
     The right side may display the search page  720 , which may show search results. Search page  720  may show multiple results, e.g., search result  1   735 , search result  2   740 , and search result  3   745 . For example, prior to displaying this graphical user interface  700 , the user may be shown another webpage, which may display a dialog box that allows the user to search the type of cars the user wanted to search for. The user may type “used cars of brand A,” and press the “enter” button. The search results  735 ,  740 , and,  745  may all be results that satisfy the user&#39;s typed condition “used cars of brand A.” 
     The user may then use the filter list  705  to refine the search results. For example, if the user only wants to see only black cars, then the user may click checkbox  730  that is next to the text “Black.” Then, based on a determination that the user checked checkbox  730 , the search page  720  may be updated. For example, search result  735  may be associated with a black car. Search results  740  and  745  may be associated with cars of another color. The updated search page may no longer comprise search results  740  and  745 . Other search results that are associated with black cars and are not previously displayed in the graphical user interface  700  (e.g., search results that are comprised in other portions of the web page and not displayed due to the limited screen size) may be displayed, since deleting search results  740  and  745  may provide extra space to display other search results. In this way, by ordering filters based on the user&#39;s interest, it may be convenient for the user to see the filters that he cares about most (e.g., exterior colors) and refine his search results easier. Without automatically ordering the filter list based on the user&#39;s interest, a default filter list (e.g., based on either the network administrator&#39;s preference or based on the preference of other users) may not order the filter that the user cares about most at the most significant location. For example, the exterior color filter  640  may be displayed in other portions of the web page. Then, the user may not know there is such a filter and may need to see search results that he does not care about. Or, the user may need to take time and scroll down through the web page to find the filter  640 . Either not being able to use the filter he cares about or spending time to find the filter reduces the level of satisfaction of the user. 
     Turning back to  FIG.  3   , after step  330  (e.g., after displaying the graphical user interface  700 ), the system may return to step  303 . If a new request for another web page may be made by the user, then new data items may be determined and the weight of the filters that are associated with the determined data items may be updated. A new filter list may be generated based on the steps described above. In this way, the more web pages the user views, the more accurate weights that reflect the user&#39;s interest may be adjusted. A filter list that may fit the user&#39;s interest better may be provided. 
       FIG.  4    depicts a flow diagram of an example method for updating the weight of one or more filters in a filter list in accordance with one or more illustrative aspects discussed herein. For example,  FIG.  4    may be used for updating the weight of a filter depicted in  FIG.  3   . Some or all of the steps of the method in  FIG.  4    may be performed using one or more computing devices as described herein, including, for example, computing device  200 , or computing devices in  FIG.  1   . One or more steps of the example, the method may be rearranged, omitted, and/or otherwise modified, and/or other steps may be added as appropriate. 
     At step  405 , a first portion of a web page may be displayed. The web page may be a web page obtained by client device  110  and displayed on a web browser  505 . For example, the web page may be the same as the web page discussed above in  FIG.  3   . For example, the web page may be the web page depicted in  FIGS.  5 A- 5 B . 
     At step  410 , input data from the user may be received, for example, from an input device associated with the client device  110 . For example, the input device may be a mouse or a keyboard associated with the client device  110 . The type of the input data may be determined, for example, by the client device  110 . 
     If it is determined that the input data comprises a selection command, step  415  may be performed. For example, the input data may comprise clicking the “Edit” button  512  in  FIG.  5 A . For example, such as may be discussed above, the “Edit” button  512  may correspond to data item  510 , which may be associated with the feature “exterior color of a car.” If the user clicks on the “Edit” button  512 , it may indicate the user is interested in that feature. For example, the weight of the exterior color filter  640  may be updated based on the selection. 
     If it is determined that the input data comprises a scroll command, step  420  may be performed. For example, the input data may comprise scrolling down the scroll bar  525  on the web browser  505  in  FIG.  5 A . At step  420 , a second portion  528  of the web page may be displayed. For example, the second portion  528  may be displayed as is shown in  FIG.  5 B . 
     At step  425 , at least one second data item displayed in the second portion of the web page may be identified. For example, after a first portion, for example, a top portion  506  is displayed, the user may scroll down the scroll bar  525  and may quickly pass through numerous data items, and then, may pause at the second portion  528  and stay there for a certain time duration. This may indicate that the user is interested in at least one of data items  530 ,  535 , or  540 . One or more of the data items  530 ,  535 , and  540  may be identified. In some examples, all of the data items displayed in the second portion  528  may be identified. In other examples, some of the data items (for example, a certain number of data items displayed in the central area of the second portion  528  (e.g., data item  535 )) may be identified. 
     At step  430 , the weight of at least one filter may be updated. Each of the at least one filter may be associated with a second data item identified at step  425 . In some examples, the filter associated with a data item may be determined by identifying a token in the displayed portion of the web page, wherein the token comprises a semantic tag. For example, the web page may be a Hypertext Markup Language (HTML) document. The token may comprise the programming code of a tracking pixel. Each tracking pixel may comprise a semantic tag that is associated with the filter corresponding to the data item. The tracking pixel may fire (e.g., send a message to the processing server system  130 ) if certain user behavior associated with the data item (e.g., the user&#39;s clicking or viewing the data item) is detected. For example, consistent with the example in  FIG.  5 B , the semantic tag associated with data item  535  may comprise “Warranty Length.” If the user scrolls down the web page and the data item  535  is viewed, the tracking pixel may send a message that indicates a data item associated with warranty length is viewed. 
     In other examples, the filter associated with a data item may be determined by parsing an Application Programming Interface (API) request sent from the client device  110 . Or, the filter associated with a data item may be determined by identifying a hierarchy level of the web page in the website hierarchy structure. It will be appreciated that various ways to determine the filters are contemplated herein and will become apparent to a person having ordinary skill in the art with the benefit of this disclosure. 
     The weight of data items  530 ,  535 , or  540  may be updated in the user profile  600 . For example, the weight of each one of the at least one second data item may be increased equally. Or, the weight of each one of the at least one second data item may be increased differently. For example, in  FIG.  5 B , it may be determined that data item  535  is displayed in the center of the web browser  505 , while data item  530  is displayed at the very top of the web browser  505 . It may be inferred that the user&#39;s focus is on the center of the web browser  505 , and therefore, by scrolling the scroll bar  525  down and pausing it at the current location as is shown in  FIG.  5 B , the user is more likely to be reading data item  535 , instead of data item  530 . Therefore, the weight of the filter associated with data item  535  may be increased more than the weight of the filter associated with data item  530 . How much weight to be increased may also be determined based on other factors. For example, the weight of each filter may be adjusted based on the time the user spends on the corresponding data item. 
     If it is determined that input data other than a selection command or scroll command is received, then step  435  may be performed. At step  435 , a determination may be made as to whether the input data otherwise indicates the user&#39;s interest in a data item that is associated with the input data. For example, the input data may be a zoom-in command. If a data item is zoomed in, it may indicate the user is interested in the feature associated with the data item. For another example, the input data may be moving a mouse cursor pointing to a data item without clicking or selecting. It may indicate that the user is reading the data item and therefore may be interested in the feature associated with the data item. For another example, the input data may be a webcam input. Based on the visual data the webcam provides, it may be determined that the user&#39;s gaze is focusing on a data item. For another example, the input data may be an audio input received by a microphone. Based on the audio input, it may be determined that the user is reading the data item, and therefore may be interested in the feature associated with the data item. 
     If it is determined that the input data indicates the user&#39;s interest in at least one data item, the method may proceed to step  440 . At step  440 , the weight of the filter associated with the data item may be updated. The weight may be updated as discussed herein. 
     Although the present disclosure has been described in terms of various examples, many additional modifications and variations would be apparent to those skilled in the art. In particular, any of the various processes described above may be performed in alternative sequences and/or in parallel (on different computing devices) in order to achieve similar results in a manner that is more appropriate to the requirements of a specific application. It is therefore to be understood that the present disclosure may be practiced otherwise than specifically described without departing from the scope and spirit of the present disclosure. Although examples are described above, features and/or steps of those examples may be combined, divided, omitted, rearranged, revised, and/or augmented in any desired manner. Thus, the present disclosure should be considered in all respects as illustrative and not restrictive. Accordingly, the scope of the disclosure should be determined not by the examples, but by the appended claims and their equivalents.