CN114090865A - Personalized content recommendation method, graphical user interface and system thereof - Google Patents

Abstract

A personalized content recommending method, a graphic user interface and a system thereof are disclosed, wherein the method runs in a servo system, after receiving user identification data transmitted by a user device, a database is inquired to obtain data favored by the user for matching digital contents meeting the preferences of the user, grouping is carried out according to the positions corresponding to the digital contents to generate contracted drawings representing the geographical ranges of different groups of digital contents, after the contracted drawings are provided to the user device, the contracted drawings are displayed on the graphic user interface of the user device, when the user selects one contracted drawing in a sliding or clicking mode, the graphic user interface switches and displays the geographical range represented by the corresponding contracted drawing, wherein the graphic user interface can comprise a plurality of connecting points, and the user can select the corresponding connecting point to play the linked digital contents.

Description

Personalized content recommendation method, graphical user interface and system thereof

Technical Field

The specification provides a technology for recommending digital content, in particular to a method for recommending personalized content by an electronic map interface providing system, a user interface for providing a digital content link point and a system for realizing the method.

Background

When a user operates a current community media application to browse content, it is known that a common way is that a servo system of the community media learns user preferences according to past browsing contents of the user, so that in the community media application, in addition to providing contents of friends and subscriptions of the user in a community, the recommended contents of the community media are provided according to the learned user preferences.

Most of the current social media applications (e.g. mobile APP) provide browsing content in a manner that presents the same content in a row, even if there is location information generated by the reference user device, i.e. the location of the user, and the social media server system does not provide an effective way for the user to browse or select the content related to the geographical location, except for inserting relevant content, such as commercial advertisements, into the row content.

Disclosure of Invention

The specification provides a personalized content recommendation method, a graphical user interface and a system thereof, wherein the personalized content recommendation method runs in a servo system and provides a novel scheme aiming at personal preference and geographic position related digital content for a user.

The proposed personalized content recommendation system comprises a server system having a database storing a plurality of digital contents, each of the digital contents being associated with a geographical location, and an application program executed on a user device generating a graphical user interface with an electronic map as a background.

According to one embodiment, in the server system, user identification data transmitted by a user device is received, and then the database is queried to obtain user preference data for matching one or more digital contents meeting the user preference, and then grouping is performed according to the respective corresponding position information of the one or more digital contents to generate one or more thumbnail images representing the geographical range of the one or more digital contents.

Then, the servo system provides one or more contracted drawings to the user device, the contracted drawings are displayed in a contracted drawing display area of an application program programming interface of the user device, the user selects one contracted drawing in a sliding or clicking mode, the application program programming interface switches and displays a geographical range represented by the corresponding selected contracted drawing, such as an area of an electronic map, a connection point in the geographical range is provided by the servo system, and the connection point is displayed in the application program programming interface in a corresponding link pattern.

Furthermore, when the user device starts the application programming interface, the user device can receive position information from the user device so as to display an initial picture corresponding to the position information on the application programming interface, match the user preference and the digital content of the position information, and the servo system provides one or more connecting points displayed on the initial picture.

The link point links a plurality of digital contents, and when the link point is selected, the plurality of digital contents can be played in sequence.

According to one embodiment, a graphical user interface for display on a user device is provided in the form of an electronic map-based user interface, the graphical user interface including a link point display area for displaying a map of a geographic area, including one or more link patterns corresponding to one or more link points provided by a server system in the geographic area; a thumbnail display area for displaying one or more thumbnails provided by the servo system to the user device; and an interactive interface area for displaying a plurality of icons for generating interactive instructions for a user.

Further, in the graphical user interface, a plurality of thumbnails displayed in the thumbnail display area activate one of the thumbnails according to the gesture of the user, such as zooming in, zooming out, sliding, or clicking, and the thumbnails can be prominently displayed, such as changing colors, enlarging patterns, and the like. When the API switches to display the geographical range corresponding to the selected thumbnail, the server receives the geographical information generated by the user device, and queries the database to obtain one or more connection points within the geographical range. After the user selects one of the connection points, the digital content linked with the connection point is played.

Further, the method for establishing the user preference comprises the following steps: the servo system collects the activity data of the user on the network through the user device, forms the location-adaptive and/or personalized data aiming at the user according to various activity data, learns the geographic related data characteristics and the weight of various data characteristics according to the location-adaptive and/or personalized data of the user, forms a personalized favor model describing the favor of the user, and obtains one or more digital contents corresponding to the favor of the user in the database by matching.

Drawings

FIG. 1 shows a diagram of an architectural embodiment of a personalized content recommendation system;

FIG. 2 shows a flowchart of an embodiment of learning user preferences;

FIG. 3 is a schematic diagram of an embodiment of a user interface in the personalized content recommendation method;

FIG. 4 is a schematic diagram of an embodiment of a user interface for implementing the personalized content recommendation method;

FIG. 5 is a schematic diagram of an embodiment of a user interface for implementing the personalized content recommendation method;

FIG. 6 is a schematic diagram of a third embodiment of a user interface for implementing the personalized content recommendation method; and

FIG. 7 shows a flowchart of an embodiment of a personalized content recommendation method.

Detailed Description

The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification and various other changes, which can be made in various details within the specification and without departing from the spirit and scope of the invention. The drawings of the present invention are for illustrative purposes only and are not intended to be drawn to scale. The following embodiments will further explain the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.

It will be understood that, although the terms "first," "second," "third," etc. may be used herein to describe various components or signals, these components or signals should not be limited by these terms. These terms are used primarily to distinguish one element from another element or from one signal to another signal. In addition, the term "or" as used herein should be taken to include any one or combination of more of the associated listed items as the case may be.

The specification discloses a personalized content recommendation method, a graphical user interface and a system thereof, which realize a scheme for providing a user to select digital content in a specific geographic range on the graphical user interface. The architecture of the proposed personalized content recommendation system can refer to the embodiment diagram shown in fig. 1.

The personalized content recommendation system includes a server system 100 shown in the figure, the server system 100 can be realized by an entity server in cooperation with software and hardware, and as shown in the figure, the server system can be divided into a user management module 101, a learning module 102 and a matching module 103 according to functions, and is provided with a database, which is realized by a storage device, and can be divided into a user database 105 and a content database 107 according to functions.

The user database 105 stores member data of the registered system, including user identification data and various identification data, and records community information, such as friends, shares, praise, and group participation, etc., of each user, which will also be the basis for the system to learn user's preference. The content database 107 stores a plurality of digital contents shot, recorded and produced by each user, and each digital content is associated with a geographical location to become a location-appropriate digital content.

The personalized content recommendation system comprises an application program executed on a user device (111,113,115), wherein the application program generates a graphical user interface with an electronic map as a background after being executed, and displays a browsing picture with the electronic map as the background through the graphical user interface, wherein a thumbnail is provided to enable a user to select to switch to a specific geographic range, and a pattern covering a Point of Interest (POI) pointing to a specific geographic position and/or a link Point such as a user node (user Point) pointing to a user uploading digital content is provided to enable the user to select the digital content to be played.

The server system 100 is provided with a user management module 101 for managing an authentication procedure and account management of a user logging in the server system 100 through the network 10 via each end user device (111,113,115). According to an embodiment, the servo system 100 is provided with a program for collecting user data, for example, data of social activities of the user, including activities, groups, friends, and contents of approval, sharing, and uploading of the user in the social, so that the learning module 102 in the servo system 100 learns and analyzes the user preferences, and can establish the user preferences in the system, and the related method can refer to the embodiment shown in fig. 2. Thus, when a user logs into the system, the server system 100 can actively obtain the digital content recommended to the user through the matching module 103 implemented by software means, wherein the characteristics (such as various attribute labels) of the digital content in the database are matched with the user's preferences, and finally recommended to the user for viewing through the application program executed on the user device (111,113,115).

FIG. 2 is a flowchart showing an embodiment of the system learning user preferences, according to which the proposed personalized content recommendation system mainly learns the user's personal preferences according to the user's various activity data, wherein the user's personal preferences may also be learned and classified according to their personal location-based preferences.

According to an embodiment, in step S201, the server system collects user data through a browsing program executed in the user device of each user end, where the data may include activity data of the user in various social media, data of information browsing on the network, and the like, and may further include data related to a geographic location, and such features at least include geographic information, and in addition, features of the data itself. For example, a user operates a user device, wherein a browsing program provided by the system is executed to collect various activities and browsing data of the user, and for location-based data, such as a video, a sound, an image or a text generated by a scene in a geographic area when the user arrives at a location, the browsing program is operated to report or record the scene, the server is connected, and the generated content is uploaded to the server, and the metadata (metadata) in the data records geographic information for generating the content, including identification data of the user (obtained when the user logs in the system). Therefore, as the user browses the digital contents, the contents can be analyzed in the servo system to form the personalized data, or the personalized data can be properly included in the servo system to establish the user' S favorite data and stored in the database as step S203.

The server system not only establishes a database of the proper digital content, but also collects the activity data of the user on the network through a software program executed on the user end computer device, as in step S205, the server system can analyze according to various activity data, and can also include the geographic information therein to form personalized data for the user, and then can learn to obtain the geographic related data characteristics thereof by a machine learning algorithm (machine learning algorithm) to obtain personalized or proper preference, and the weights (weights) of various data characteristics, as in step S207, a personalized preference model describing the preference of the user is formed, or user preference data combined with some characteristic information is formed, thereby one or more personalized contents corresponding to the preference of the user can be obtained, or proper personalized contents can be obtained. It is worth mentioning that different weights can be set according to the relevance of the data features obtained through machine learning, a higher weight can be given to the data features with high relevance, and a lower weight can be given to the data features with low relevance, so that the user preference can be more accurately described.

According to an embodiment, the activity data of the user on the network collected by the server system through the user-side computer device may include activities of the user in various social media, search records, contents of attention and browsing, and time information of various activities. For example, the browsing history may be cookies, copies, and historical records of the browsing behavior of the web page by the user through the web browser, and the activities in the social media such as card punching, searching, recording, approval, sharing, tracking objects, responding to messages, etc. in some cases, there may be a record related to the geographic location, which more generally refers to various behaviors related to specific geography and multimedia content related to geography. Furthermore, when the user preference degree is judged, the characteristics of the user, such as time and period spent on browsing the content, frequency and length of browsing the related content, whether the content is shared by people and the like, and even the content produced by the user can be judged. This information can be used as the basis for the server system to build a personalized preference model or related database, which can perform a preference ranking when the server system provides a plurality of personalized contents to the user.

According to one embodiment, the server system provides a browsing program executed in the user-side computer device to provide the user with a way to browse the contents on the map by operating the electronic map, each of the contents is linked to a specific geographic location, and during browsing, the server system also obtains browsing records of the user, such as movies, sounds, images or texts, the generated records include user identification data (user ID), geographic location or range (latitude and longitude), browsing contents and activities (e.g., favoring, collecting, sharing, etc.), and tags (tags) and time of the contents themselves, which can be the learning data of the learning algorithm, so as to form the basis of the preference of the user.

In another embodiment, the browsing program provided by the server system can be a user interface for providing the user to browse the contents, such as a web browser, when the user operates the browsing program to browse various contents, the contents are also marked with the geographic related information, including the browsing history of the user, which is also the basis for the learning algorithm to learn the user's preference (or add an appropriate preference).

FIG. 3 is a schematic diagram of an embodiment of a user interface in the personalized content recommendation method.

An exemplary embodiment of an application programming interface 30 generated by an application executing on a user device is shown as a Graphical User Interface (GUI) in the context of an electronic map, and may include a link point display area 301, which may be an electronic map, a three-dimensional map or a flat map display, and receives user selection of a geographical area to be browsed by various input devices, gestures, or a stylus in a dragging manner, particularly including one or more link patterns corresponding to one or more link points provided by a server system in the geographical area.

In this example, a thumbnail display area 303 is provided below the link point display area 301 (not limited to a specific position in practical implementation), the thumbnail display area 303 includes one or more thumbnails provided to the user device by the servo system, each thumbnail is connected to a specific geographic position, the thumbnails in this figure are several circular thumbnails with different sizes, but the shape or position of the thumbnails is not limited to that shown in the figure. According to one embodiment, the thumbnail in the thumbnail display area 303 provides the user with the choice of interested people to switch the link point display area 301 to the corresponding geographic range, the geographic location linked by the thumbnail may be the center of the geographic range, the size covered by the displayed geographic range may be determined according to the weight, and the reference pointer for weight calculation may include various records of activities of the user on the device, such as interaction with the geographic location, browsing activities or time, and may be used to determine the geographic range of the link point display area 301 corresponding to each thumbnail.

In one embodiment, when the servo system receives the user identification data transmitted by the user device, the servo system queries the database to extract one or more digital contents meeting the user's preference, and then performs grouping according to the respective corresponding location information of the one or more digital contents, and groups the plurality of digital contents in an area (corresponding to a geographical range) by using a grouping method, and selects a representative pattern to be a contracted pattern, for example, the digital contents in the geographical range having the highest matching score, or the digital contents that may be closest to the user's preference, for example, the digital contents having the highest matching label, or the digital contents having the highest score after calculation of the number of matched digital contents. One or more thumbnails representing the geographic scope of one or more groups of digital content are generated in the thumbnail display area 303. When the user selects one of the thumbnails, the link point display area 301 switches to display the geographical range represented by the corresponding thumbnail, and the server receives the geographical information associated with the geographical range, provides one or more link points in the geographical range, and displays the link point in the link point display area 301 with the corresponding one or more link patterns.

The graphical user interface may also include an interactive interface region 305, which may be located below (or somewhere) in the overall graphical user interface, in which a plurality of icons may be displayed for providing user-generated interactive instructions, such as an icon for the user to return to the home page (e.g., corresponding to where the user is located), i.e., the user may immediately switch to the home page by returning to the home page icon regardless of whether the application is displaying content linked to any geographic location. The interactive interface region 305 may include a display of digital content that the user has collected, tracked, complied with when browsing the content, or may be able to query other users who have tracked their uploaded digital content to enable the user to quickly search for interesting content. The interactive interface region 305 may include functional illustrations that allow the user to quickly capture or select digital content for upload. The interactive interface region 305 may include a link icon for the user to browse friends dynamically and may include a link icon for the user to edit his or her own data.

FIG. 4 is a schematic diagram of an embodiment of a user interface for implementing the personalized content recommendation method, which shows that the API 40 can be an initial frame for starting the relevant application in the user device, such as a home frame of the user, or a home frame determined by the application according to the location information provided by the user device.

The API 40 includes a link point display area 41, which in this example is an electronic map-based graphical user interface displaying a plurality of link points within a geographic area, which may encompass points of interest (POIs) pointing to specific geographic locations and/or user nodes pointing to users uploading digital content. According to one embodiment, when the API is turned on in the UE, the server system receives a location message from the UE to display an initial screen corresponding to the location message on the API, and provides one or more links (link one 401, link two 403) displayed therein. The link points may be link points obtained by the system according to user preferences learned from learning user browsing records, community activity data, and the like, and thus the link points may be linked to location-based and/or personalized digital contents according to user preferences, that is, addresses of one or more digital contents in each link point link database, so that when a user selects one of the link points, the linked digital contents can be played according to the addresses.

According to this illustration, a first link point 401 is shown as a pointer to a geographic location where a user can add text to the digital content of one link and display it near the pointer pattern, and a second link point 403 is shown as a pointer to the digital content of the location where a user has created, where the text can be described in short text or to the user. According to an embodiment, when the system compares the user preferences to obtain the corresponding digital content, the prominently marked link patterns represented by connection point one 401 and connection point two 403 are each linked to personalized and/or location-adaptive digital content.

It should be noted that, in order to avoid the complicated picture in a geographic area, the link points marked prominently may be those with higher scores calculated according to the preference of the user, and the link points marked prominently represent those with higher scores of the digital contents recommended by the system, and may be marked with a symbol with a larger pattern and obvious symbols, for example; the less recommended content score may be indicated by a simple symbol, such as a smaller circle or symbol.

In this example, the API 40 has a thumbnail display area 43 below (or elsewhere in) the link point display area 41, which includes several thumbnails, each of which is associated with geographic information of a geographic scope, which may include one or more link points that cover system recommendations (which meet user preferences). In an embodiment, when the user moves the thumbnail to the middle by the sliding gesture, the action command allows the application program to display the geographical range corresponding to the thumbnail in the link point display area 41 according to the link information of the moved thumbnail, and the area name of the geographical range can be displayed in a specific position. In this example, the thumbnail display area 43 includes a plurality of thumbnails, such as thumbnail one 407 and thumbnail two 409, and when the user operates a selection in the thumbnail display area 43, the thumbnail may change in color or size to prompt the user for the selection.

For example, the thumbnails displayed in the thumbnail display area 43 may be enlarged or reduced according to the gesture of the user, when the user stays at a position of a certain thumbnail with a gesture or a specific input device, the user selects the thumbnail, and the thumbnails may generate a prominent graphic in a color or enlarged manner to highlight the selected thumbnail, which indicates that the geographic range corresponding to the thumbnail is to be displayed in the link point display area 41.

Upon selecting one of the thumbnails, the API links the addresses of one or more digital contents in the database at each link point, except for one or more link points displayed in the geographic area in the link point display area 41, when the link point display area 41 displays the corresponding geographic area. An interactive interface area 47 is also shown in the figure, so that the user can generate an interactive instruction after operation, and the application program can display the corresponding function according to the interactive instruction.

FIG. 5 next shows another schematic view of an embodiment of a user interface.

This example also shows several areas in the application programming interface 40, such as the link point display area 41, the thumbnail display area 43, and the interactive interface area 47. when the user selects one of the thumbnails in the thumbnail display area 43, such as the enlarged thumbnail 507 in the figure, the home thumbnail 505 can be placed in a specific position, still allowing the user to quickly return to his home page after selecting it. After selecting thumbnail 507, link display area 41 in API 40 switches to display the geographical area corresponding to the selected thumbnail, and the servo system provides one or more links, such as link one 501 and link two 503.

Thereafter, referring to fig. 6, when the user selects one of the connection points, the api 40 may switch to the digital content display screen, such as a content display area 600, in which the digital content linked to the selected connection point is displayed, such as playing a movie or sound, displaying an image or text, etc., and the content information area 602 is used to display the information of the digital content, such as author information, data of the relevant geographical location, etc., and the content link image 601 indicated in the figure may represent the link pattern set by the user currently playing the digital content.

For example, when the user switches to a geographic area through thumbnail, a plurality of links marked at various positions in the area can be obtained, each link can cover one or more links of the digital content, and after one of the links is selected, the digital content is linked to the database to be played through the content display area 600. When the link point links a plurality of digital contents, the plurality of digital contents can be played in sequence when the link point is selected.

Through the above system and graphical user interface, the personalized content recommendation method can be implemented with reference to the flowchart of fig. 7.

In step S703, the servo system can query the database according to the user identification data and/or the location information to match the digital content related to the user 'S preference, and can also match the local digital content according to the user' S location information.

According to the matching result, the servo system can obtain one or more digital contents which accord with the user's preference, and each digital content has corresponding position information, so that the servo system can group the digital contents related to the geographic information by a software method. For example, the servo system queries the database to obtain that the paris city center has a plurality of digital contents meeting the matching conditions, so that the digital contents with geographical relevance can be grouped and a representative thumbnail is generated; in the roman city center, there are also several digital contents corresponding to the user's interest, so that these digital contents are grouped and one representative thumbnail is generated, so that the servo system will generate several thumbnails representing one or several connection points in several geographic ranges according to the matching result.

Then, in step S705, the servo system can provide the thumbnail images and the link points displayed on the user device according to the matching result, and form one or more thumbnail images displayed in the thumbnail image display area of the api after transmitting the thumbnail images and the link points to the user device. The user can decide the thumbnail to be browsed by gestures or specific input modes, and the system can also decide the geographic range corresponding to each thumbnail according to the weight calculation result of one or more reference indexes. For example, the thumbnails may be sized to be operated by a user gesture, and the thumbnails may be arranged in a sequence for selection by the user, wherein the executing application receives information of the selected thumbnail, thereby enlarging the selected thumbnail, and once one of the thumbnails is selected, in step S707, the application receives a selection instruction for selecting one of the thumbnails, and determines a geographic range according to the geographic location of the link of the selected thumbnail, in step S709. In this case, in step S711, the server system receives the selection command, and provides the user device with the connection point in the geographic range after matching the digital content in the database, so as to cover the interest point pointing to the specific geographic location and/or the user node pointing to the user uploading the digital content (step S713). In particular, a nexus may cover multiple digital contents, i.e., link the addresses of one or more digital contents in the database. The display mode of the link points can be based on scores of the digital contents, such as the number of praise, the number of share, the number of browse, the user evaluation, and the like, the scores can also be the basis for the system to judge whether the link patterns are displayed on the picture of the geographic range, and the order of the digital contents which are clicked into each link point to play can also be the ranking of the scores of the link points.

The user can continue to select other thumbnail images, and the process repeats steps S707 to S713 until the user selects one of the connection points, the api will switch to the playback screen as shown in fig. 6, in step S715, and the server system provides the linked digital content according to the connection point selected by the user.

In one embodiment, when the user operates the user device to open the API, the server system can also receive the location information from the user device, so that the matching condition includes the user's preference and location information, i.e. matches the digital content that simultaneously conforms to the user's preference and location information, so that the server system can provide the user device with personalized and/or location-appropriate digital content, and the location-appropriate matching result can display one or more connection points of the location through an initial screen, and can also form thumbnail images of different geographical ranges.

In summary, according to the personalized content recommendation method, the graphical user interface and the system thereof described in the above embodiments, the system can provide digital content or digital content with suitable location according to the preference of the user, forms thumbnails corresponding to different geographical ranges in the application programming interface of the user device, and can provide the user to select the thumbnails and connection points through the proposed graphical user interface.

The disclosure is only a preferred embodiment of the invention and should not be taken as limiting the scope of the invention, so that the invention is not limited by the disclosure of the specification and drawings.

Claims (20)

1. A method for recommending personalized content, which is executed in a server system, the method comprising:

receiving a user identification data transmitted by a user device;

inquiring a database to obtain data which is favored by a user so as to match one or more digital contents which are favored by the user;

clustering according to the respective corresponding position information of the one or more digital contents to generate one or more miniature images representing the geographic range of the one or more digital contents;

providing the one or more thumbnails to the user device, displaying the one or more thumbnails in a thumbnail display area of an application programming interface of the user device;

when the user selects one of the thumbnails, the API switches to display the geographical range corresponding to the thumbnail, the servo system provides one or more connection points in the geographical range, and the connection points are displayed in the API in one or more corresponding link patterns.

2. The method of claim 1, further comprising receiving a location information from the user device when the user device opens the API, displaying an initial frame corresponding to the location information on the API, and the server system providing one or more connection points displayed on the initial frame.

3. The method as claimed in claim 2, wherein after obtaining the location information of the user device, matching the digital content that simultaneously conforms to the user's preferences and the location information, and generating the one or more thumbnail images.

4. The method of claim 2, wherein the API is a graphical user interface with an electronic map as a background.

5. The method of claim 3, wherein the geographic range corresponding to each thumbnail is determined according to a weight calculation result of one or more reference indicators.

6. The method of claim 1, wherein each link point displayed in the geographic area is linked to an address of one or more digital contents in the database.

7. The method of claim 6, wherein when the link point links multiple digital contents, the link point is selected to play the multiple digital contents sequentially.

8. The method of any of claims 1-7, wherein the method of establishing the user's preferences comprises:

the servo system collects the activity data of the user on the network through the user device;

forming personalized data for the user according to the various activity data; and

according to the personalized data of the user, learning to obtain the data characteristics related to geography and the weights of various data characteristics, forming a personalized favor model describing the favor of the user, and matching to obtain one or more digital contents corresponding to the favor of the user in the database.

9. A graphical user interface in the context of an electronic map generated by a program executing on a user device, the graphical user interface comprising:

a link point display area for displaying a map of a geographical area, wherein one or more link patterns corresponding to one or more link points in the geographical area are provided by a servo system;

a thumbnail display area for displaying one or more thumbnails provided by the servo system to the user device; and

an interactive interface area for displaying a plurality of icons for providing user generated interactive instructions;

when the servo system receives user identification data transmitted by the user device, a database is inquired to match one or more digital contents according with user preferences, and then grouping is carried out according to the individual corresponding position information of the one or more digital contents to generate one or more contracted drawings representing the geographical range of the one or more groups of digital contents; when the user selects one of the thumbnails, the link point display area switches to display the geographical range corresponding to the thumbnail, the servo system provides the one or more link points in the geographical range, and the one or more link points are displayed in the link point display area in a corresponding one or more link patterns.

10. The graphical user interface of claim 9, wherein the plurality of thumbnails displayed in the thumbnail display area are enlarged or reduced according to a user's gesture, and wherein one of the thumbnails is selected and highlighted as a highlight.

11. The graphical user interface of claim 9 wherein when the user device is turned on, a location message is also received from the user device to display an initial frame corresponding to the location message on the api, and the server system provides one or more links displayed on the initial frame.

12. The graphical user interface of claim 11 wherein the server system receives geographic information generated by the user device to query the database for one or more links within the geographic area when the user device manipulates the map displayed in the link display area to select the geographic area.

13. The graphical user interface of claim 9 wherein the geographic range corresponding to each thumbnail is determined based on a weighted calculation of one or more reference indices.

14. A gui according to any of claims 9 to 13, wherein each link point displayed in the geographical area links addresses of one or more digital contents in the database.

15. A personalized content recommendation system, characterized in that the personalized content recommendation system comprises:

the servo system is provided with a database, wherein the database stores a plurality of digital contents, and each digital content is associated with a geographic position; and

an application executing on a user device generates a graphical user interface with an electronic map as a background, wherein the graphical user interface comprises:

a link point display area for displaying a map of a geographical area, wherein the map includes one or more link patterns corresponding to one or more link points provided by the server system in the geographical area;

a thumbnail display area for displaying one or more thumbnails provided by the servo system to the user device; and

an interactive interface area for displaying a plurality of icons for providing user generated interactive instructions;

when the servo system receives a user identification data transmitted by the user device, the database is inquired to match one or more digital contents according with the user preference, and then grouping is carried out according to the individual corresponding position information of the one or more digital contents to generate one or more contracted images representing the geographical range of the one or more groups of digital contents; when the user selects one of the thumbnails, the link point display area switches to display the geographical range corresponding to the thumbnail, the servo system provides the one or more link points in the geographical range, and the one or more link points are displayed in the link point display area in a corresponding one or more link patterns.

16. The system of claim 15, wherein when the user device opens the API, the server system further receives a location message from the user device to display an initial frame corresponding to the location message on the API, and the server system provides one or more connection points displayed on the initial frame.

17. The system of claim 16, wherein after obtaining the location information of the user device, the system generates the one or more thumbnail images by matching digital content that matches the user's preferences and the location information.

18. The personalized content recommendation system of claim 15, wherein each link point displayed in the geographic area links addresses of one or more digital content in the database.

19. The personalized content recommendation system of claim 18, wherein when the link point links a plurality of digital contents, the link point is selected to sequentially play the plurality of digital contents.

20. The system of any of claims 15-19, wherein the method for establishing the user preferences comprises:

the servo system collects the activity data of the user on the network through the user device;

forming personalized data for the user according to the various activity data; and

according to the personalized data of the user, learning to obtain the data characteristics related to geography and the weights of various data characteristics, forming a personalized favor model describing the favor of the user, and matching to obtain one or more digital contents corresponding to the favor of the user in the database.

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