CN110737844B

CN110737844B - Data recommendation method and device, terminal equipment and storage medium

Info

Publication number: CN110737844B
Application number: CN201910974635.4A
Authority: CN
Inventors: 韩金泽; 明慧
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2019-10-14
Filing date: 2019-10-14
Publication date: 2020-12-25
Anticipated expiration: 2039-10-14
Also published as: CN110737844A

Abstract

The disclosure relates to a method and a device for recommending data, terminal equipment and a storage medium, and belongs to the technical field of networks. According to the method, the terminal equipment of the login user selects a plurality of users from a plurality of first target users having a first preset relationship with the login user to generate the target recommendation list, the target recommendation list is stored in the database, the target recommendation platform is determined according to the recommendation instruction, the recommendation card comprising the list address of the target recommendation list is sent to the target platform, the terminal equipment of the second target user accesses the list address of the target recommendation list in the recommendation card according to the viewing instruction and displays the target recommendation list, the users can conveniently select a plurality of users to pay attention at one time, batch attention to the recommendation users can be achieved, the operation cost is reduced, the user experience is improved, and the friend attention number and the user retention rate of the users are improved.

Description

Data recommendation method and device, terminal equipment and storage medium

Technical Field

The present disclosure relates to the field of network technologies, and in particular, to a method and an apparatus for recommending data, a terminal device, and a storage medium.

Background

In recent years, with the development of science and technology and the improvement of the living standard of people, more and more people begin to record their lives by using photos, videos and the like and share with others, and many content community applications are produced. In the content community application, users who are interested in the content community can be found more quickly by recommending high-quality users. In the related technology, when user recommendation is performed, a user can click a sharing button on a personal homepage of a user who wants to share the personal homepage of the user, the personal homepage of the user is shared to a third-party platform, other users click and open the sharing button on the third-party platform to browse the personal homepage of the user, and an application can be pulled up to pay attention when attention is needed.

In implementing the present disclosure, the inventors found that the related art has at least the following problems:

from the view of the sharing initiator, the user who wants to share needs to find the personal homepage for sharing, if a plurality of personal homepages need to be shared, the user needs to complete the sharing of the personal homepages of the plurality of users through multiple sharing operations, the operation cost is high, and the user experience is poor.

Disclosure of Invention

The disclosure provides a method, a device, a terminal device and a storage medium for recommending data, so as to solve at least the problems of high user recommending operation cost and poor user experience in the related art. The technical scheme of the disclosure is as follows:

according to a first aspect of the embodiments of the present disclosure, there is provided a method of recommending data, including:

acquiring a target recommendation list based on a plurality of first target users corresponding to a selection instruction from first target users of login users, wherein the first target users are used for representing users having a first preset relationship with the login users, and the target recommendation list is used for displaying recommendation information of the plurality of first target users in a target application;

acquiring a list address of the target recommendation list in a target database;

determining a target recommendation platform corresponding to a recommendation instruction according to the recommendation instruction;

and sending a recommendation card comprising the list address of the target recommendation list to the target recommendation platform.

In a possible implementation manner, the obtaining a target recommendation list based on a plurality of first target users corresponding to the selection instruction from among the first target users of the login users includes:

when a first list display instruction is received, displaying a plurality of first target users of the login user;

acquiring a plurality of selected first target users according to the selection instruction;

and generating the target recommendation list based on the selected plurality of first target users.

when a second list display instruction is received, displaying at least one history recommendation list of the login user, wherein the history recommendation list comprises a plurality of first target users which recommend based on the login user;

and according to the selection instruction, selecting a history recommendation list corresponding to the selection instruction from the at least one history recommendation list as the target recommendation list.

and according to the selection instruction, generating the target recommendation list from the at least one history recommendation list based on the editing operation of the history recommendation list corresponding to the selection instruction.

In a possible implementation manner, before sending the recommendation card including the list address of the target recommendation list to the target recommendation platform, the method further includes:

acquiring a recommended card format supported by the target recommendation platform;

and generating a recommendation card conforming to the target recommendation card format according to the recommendation card format supported by the target recommendation platform and the target recommendation list.

In a possible implementation manner, after sending the recommendation card including the list address of the target recommendation list to the target recommendation platform, the method further includes:

modifying the target recommendation list according to the editing operation on the target recommendation list to obtain a modified target recommendation list;

and synchronizing the editing operation to the target database.

In one possible implementation, the first target user includes at least one of:

the concerned user of the login user;

the users with the forward interactive relationship of the login user.

According to a second aspect of the embodiments of the present disclosure, there is provided a method of recommending data, including:

acquiring a recommendation card of a login user, wherein the recommendation card comprises a list address of a target recommendation list, and the target recommendation list is used for displaying recommendation information of a plurality of first target users in a target application;

and according to the viewing instruction, accessing the list address of the target recommendation list in the recommendation card, and displaying the target recommendation list.

In a possible implementation manner, after the accessing a list address of the target recommendation list in the recommendation card according to the viewing instruction and displaying the target recommendation list, the method further includes:

according to the attention instruction of the target recommendation list, in the target application, establishing an attention relationship between a second target user and a third target user, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

In a possible implementation manner, the displaying the target recommendation list includes:

opening a display page of a target recommendation platform in the current application, and displaying the target recommendation list in the display page;

and jumping to the target application from the current application, and displaying the target recommendation list in the target application.

In a possible implementation manner, the target recommendation list includes first attention options of the plurality of first target users, and the first attention options are used for paying attention to the plurality of first target users when being triggered;

according to the attention instruction of the target recommendation list, in the target application, establishing an attention relationship between the second target user and the third target user comprises:

and when the triggering operation on the first attention option is detected, triggering a first attention instruction on the target recommendation list, determining the plurality of first target users as third target users in the target application, and establishing an attention relationship between the second target users and the third target users.

In a possible implementation manner, the target recommendation list includes a second attention option of the plurality of first target users, and the second attention option is used for paying attention to the plurality of first target users when being triggered;

and when the triggering operation of any second attention option is detected, triggering a second attention instruction of the target recommendation list, determining a first target user corresponding to the second attention option as a third target user in the target application, and establishing an attention relationship between the second target user and the third target user.

According to a third aspect of the embodiments of the present disclosure, there is provided an apparatus for recommending data, including:

the obtaining unit is configured to obtain a target recommendation list based on a plurality of first target users corresponding to the selection instruction from first target users of the login users, wherein the first target users are used for representing users having a first preset relationship with the login users, and the target recommendation list is used for displaying recommendation information of the plurality of first target users in the target application;

the obtaining unit is further configured to execute obtaining a list address of the target recommendation list in a target database;

the platform determining unit is configured to execute the steps of determining a target recommendation platform corresponding to a recommendation instruction according to the recommendation instruction;

a sending unit configured to perform sending of a recommendation list including a list address of the target recommendation list to the target recommendation platform.

In one possible implementation, the apparatus further includes:

the display unit is configured to display a plurality of first target users of the login user when a first list display instruction is received;

the obtaining unit is further configured to execute obtaining the selected plurality of first target users according to the selection instruction;

a generating unit configured to perform generating the target recommendation list based on the selected plurality of first target users.

In a possible implementation manner, the presenting unit is further configured to perform presenting at least one history recommendation list of the login user when receiving a second list presenting instruction;

and the selecting unit is configured to execute selecting the history recommendation list corresponding to the selecting instruction from the at least one history recommendation list as the target recommendation list according to the selecting instruction.

In a possible implementation manner, the generating unit is further configured to execute, according to the selection instruction, generating the target recommendation list from the at least one history recommendation list based on an editing operation on the history recommendation list corresponding to the selection instruction.

In one possible implementation, the apparatus further includes:

the format acquisition unit is configured to execute acquisition of a recommended card format supported by the target recommendation platform;

the generating unit is further configured to execute the recommended card format supported by the target recommendation platform and the target recommendation list, and generate the recommended card conforming to the target recommended card format.

In one possible implementation, the apparatus further includes:

the modification unit is configured to modify the target recommendation list according to the editing operation on the target recommendation list to obtain a modified target recommendation list;

a synchronization unit configured to perform synchronizing the editing operation to the target database.

According to a fourth aspect of the embodiments of the present disclosure, there is provided an apparatus for recommending data, including:

the address acquisition unit is configured to execute acquisition of a recommendation card of a login user, wherein the recommendation card comprises a list address of a target recommendation list, and the target recommendation list is used for displaying recommendation information of a plurality of first target users in a target application;

the access unit is configured to execute accessing the list address of the target recommendation list in the recommendation card according to a viewing instruction;

a display unit configured to perform displaying the target recommendation list.

In one possible implementation, the apparatus further includes:

and the establishing unit is configured to execute an attention instruction according to the target recommendation list, and in the target application, establish an attention relationship between a second target user and a third target user, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

In one possible implementation, the apparatus further includes:

the display unit is configured to open a display page of a target recommendation platform in a current application;

the display unit is further configured to display the target recommendation list in the display page;

a jumping unit configured to perform jumping from a current application to the target application;

the display unit is further configured to display the target recommendation list in the target application.

In one possible implementation, the apparatus further includes:

a triggering unit configured to execute a first attention instruction for the target recommendation list when a triggering operation for the first attention option is detected;

a user determination unit configured to execute in the target application to determine the plurality of first target users as third target users;

the establishing unit is further configured to perform establishing an attention relationship between the second target user and the third target user.

In a possible implementation manner, the triggering unit is further configured to execute a second attention instruction for triggering the target recommendation list when a triggering operation on any second attention option is detected;

the user determining unit is further configured to determine, in the target application, the first target user corresponding to the second attention option as a third target user;

According to a fifth aspect of the embodiments of the present disclosure, there is provided a terminal device, including:

one or more processors;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of recommending data as described above.

According to a sixth aspect of embodiments of the present disclosure, there is provided a storage medium comprising:

the instructions in the storage medium, when executed by one or more processors of the terminal device, enable the terminal device to perform the above-described method of recommending data.

According to a seventh aspect of embodiments of the present disclosure, there is provided an application program including:

the application program product stores at least one instruction that is loaded and executed by one or more processors to implement the method of recommending data as described above.

The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:

the method for recommending data provided by the disclosure selects a plurality of users from a plurality of first target users having a first preset relationship with a login user to generate a recommendation list through the terminal device of the login user, or directly uses one of historical recommendation lists as the recommendation list or modifies one of the historical recommendation lists to generate a new recommendation list, stores the recommendation list in a database, determines a target recommendation platform according to a recommendation instruction, sends a recommendation card comprising the list address of the target recommendation list to the target platform, accesses the list address of the target recommendation list in the recommendation card according to a viewing instruction through the terminal device of a second target user, and displays the target recommendation list, so that the user can conveniently select a plurality of users for attention at one time, batch attention to the recommendation users can be realized, and the operation cost is reduced, the user experience is improved, and the friend attention number and the user retention rate of the user are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.

FIG. 1 is a schematic illustration of an implementation environment showing a method of recommending data in accordance with an exemplary embodiment;

FIG. 2 is a flow diagram illustrating a method of recommending data in accordance with an exemplary embodiment;

FIG. 3 is a flow diagram illustrating a method of recommending data in accordance with an exemplary embodiment;

FIG. 4 is a flow diagram illustrating a method of recommending data in accordance with an exemplary embodiment;

FIG. 5 is an interface diagram illustrating a target application in accordance with an illustrative embodiment;

FIG. 6 is an interface presentation diagram illustrating a personal attention list in accordance with an exemplary embodiment;

FIG. 7 is a diagram illustrating one manner of selecting a list of target recommendations to generate in accordance with an illustrative embodiment;

FIG. 8 is a schematic diagram illustrating a selectable user interface in accordance with an exemplary embodiment;

FIG. 9 is a diagram illustrating an interface for selecting a user to generate a target recommendation list in accordance with an illustrative embodiment;

FIG. 10 is an interface diagram illustrating a triggering of an edit operation at a target application interface in accordance with an illustrative embodiment;

FIG. 11 is a diagram illustrating an interface showing an unmodified name recommendation list, according to an illustrative embodiment;

FIG. 12 is a diagram illustrating an interface after modifying a recommendation list name in accordance with an illustrative embodiment;

FIG. 13 is an interface diagram illustrating a recommendation list after an editing operation in accordance with an illustrative embodiment;

FIG. 14 is an interface diagram illustrating a determination of a target recommendation platform in accordance with an illustrative embodiment;

FIG. 15 is an operational diagram illustrating a method of sending a recommendation card, according to an exemplary embodiment;

FIG. 16 is a diagrammatic illustration of an interface for prompting a successful transmission in accordance with an exemplary embodiment;

FIG. 17 is an interface diagram illustrating a return to target application in accordance with an illustrative embodiment;

FIG. 18 is an interface diagram illustrating a recommendation card according to an exemplary embodiment;

FIG. 19 is an interface diagram illustrating a list of target recommendations in a target recommendation platform, according to an illustrative embodiment;

FIG. 20 is a flowchart illustrating a user one-touch focusing on all recommended users in accordance with an illustrative embodiment;

FIG. 21 is an interface diagram illustrating a prompt to open a target recommendation platform in accordance with an illustrative embodiment;

FIG. 22 is an interface diagram illustrating a target recommendation list in a target application, according to an illustrative embodiment;

FIG. 23 is an interface diagram illustrating a prompt for success, according to an exemplary embodiment;

FIG. 24 is an interface diagram illustrating a prompt for success, according to an exemplary embodiment;

FIG. 25 is a data request and interface flow diagram illustrating a method of recommending data in accordance with an exemplary embodiment;

FIG. 26 is a diagram illustrating an interface for confirming a deletion history recommendation list, according to an illustrative embodiment;

FIG. 27 is an interface diagram illustrating a history recommendation list after a delete operation in accordance with an illustrative embodiment;

FIG. 28 is an interface diagram illustrating a recommendation list after a delete operation in accordance with an illustrative embodiment;

FIG. 29 is a block diagram illustrating an apparatus for recommending data in accordance with an exemplary embodiment;

FIG. 30 is a block diagram illustrating an apparatus for recommending data in accordance with an exemplary embodiment;

fig. 31 is a block diagram of a terminal device 3100 is shown in accordance with an example embodiment;

fig. 32 is a block diagram illustrating a server 3200 according to an example embodiment.

Detailed Description

In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

Fig. 1 is a schematic diagram of an implementation environment of a method for recommending data according to an exemplary embodiment, and referring to fig. 1, the implementation environment of the method for recommending data includes: at least two terminal devices 101 and a server 102.

The terminal device 101 may be at least one of a smartphone, a gaming console, a desktop computer, a tablet computer, a laptop computer, a desktop computer, an MP3 player, an MP4 player, a laptop computer, and the like. An application program supporting the method of recommending data is installed and run in the terminal device 101, and the application program may be any one of a video viewing program, a social contact application program, an instant messaging application program, and an information sharing program. Those skilled in the art will appreciate that the number of terminals described above may be greater or fewer. For example, the number of the terminals may be only a few, or the number of the terminals may be several tens or hundreds, or more, and the number of the terminals and the type of the device are not limited in the embodiments of the present disclosure.

The server 102 may be connected to the terminal device 101 through a network, so as to realize information interaction with the terminal device 101. The server 102 includes at least one of a server, a plurality of servers, a cloud computing platform, and a virtualization center, and the server 102 includes a user identity information database and at least one interested user list database. The user identity information database is used for storing a personal attention list of a user, user information selected at this time, a user list shared by historical users and the like, and the at least one attention user list database is used for storing a target recommendation list, user information in the target recommendation list and the like. Of course, the server 102 may also include other functional servers to provide more comprehensive and diverse services.

The user information to which the present disclosure relates may be information authorized by the user or sufficiently authorized by each party.

Fig. 2 is a flowchart illustrating a method for recommending data according to an exemplary embodiment, and referring to fig. 2, the specific steps include:

in step S201, a target recommendation list is obtained from a plurality of first target users corresponding to the selection instruction from among first target users of the login user, where the first target users are used to represent users having a first preset relationship with the login user, and the target recommendation list is used to show recommendation information of the plurality of first target users in the target application.

In step S202, a list address of the target recommendation list in the target database is acquired.

In step S203, according to the recommendation instruction, a target recommendation platform corresponding to the recommendation instruction is determined.

In step S204, a recommendation card including the list address of the target recommendation list is sent to the target recommendation platform.

According to the method provided by the embodiment of the disclosure, a plurality of users are selected from a plurality of first target users having a first preset relationship with a login user to generate the recommendation list through the login user, the recommendation list is stored in the database, and then the recommendation card including the address of the recommendation list in the database is sent to a second target user.

In a possible implementation manner, the obtaining a target recommendation list based on a plurality of first target users corresponding to the selection instruction from the first target users of the login users includes:

and modifying the recommended card format of the target recommendation list according to the recommended card format supported by the target recommendation platform to obtain the modified recommended card.

and synchronizing the editing operation to the target database.

In one possible implementation, the first target user includes at least one of:

the concerned user of the login user;

the users with the forward interactive relationship of the login user.

By the method provided by the embodiment of the disclosure, the terminal device of the login user can select a plurality of users from a plurality of first target users having a first preset relationship with the login user to generate the recommendation list, or directly using one of the historical recommendation lists as the recommendation list, or modifying one of the historical recommendation lists to generate a new recommendation list, and storing the recommendation list in a database, determining a target recommendation platform according to the recommendation instruction, and sending the recommendation card including the list address of the target recommendation list to a second target user, wherein in the process, when a plurality of users need to share, the complicated operation of finding the personal homepages of the users who want to share one by one is not needed, and the sharing can be directly carried out through the recommendation list, so that the sharing of a plurality of users at one time is realized, the operation cost is reduced, and the user experience is improved.

Fig. 3 is a flowchart illustrating a method for recommending data according to an exemplary embodiment, and referring to fig. 3, the specific steps include:

in step S301, a list address of a target recommendation list of a login user is obtained, where the target recommendation list is used to display recommendation information of a plurality of first target users in a target application;

in step S302, according to the viewing instruction, the list address of the target recommendation list is accessed, and the target recommendation list is displayed.

According to the method provided by the embodiment of the disclosure, after the second target user receives the recommendation card, the second target user accesses the list address of the recommendation list included in the recommendation card, and by checking the head portrait, the nickname and the representative of the recommendation user, information and the like, all users can be concerned by one key, users interested by the second target user can also be concerned in batch, corresponding application programs do not need to be opened one by one for checking, the operation cost is reduced, and the user experience is improved.

according to the attention instruction of the target recommendation list, in the target application, establishing an attention relationship between a first target user and a second target user, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

In a possible implementation manner, the target recommendation list includes a second attention option of the multiple users, and the second attention option is used for paying attention to the multiple users when being triggered;

According to the data recommending method, the terminal device of the second target user accesses the list address of the target recommendation list in the recommendation card according to the viewing instruction and displays the target recommendation list, the user can pay attention to all users by one key and can select a plurality of users to pay attention at one time, batch attention to the recommended users is achieved, the operation cost is reduced, the user experience is improved, and the friend attention number and the user retention rate of the users can be improved.

The method provided by the embodiment of the disclosure can be interaction between two terminal devices logged with different users, or interaction between a user on a terminal device and a third-party platform, and is described below by taking only interaction between two terminal devices logged with different users and acquisition of a target recommendation list based on a personal attention list of the logged-in user as an example. Fig. 4 is a flowchart illustrating a method of recommending data according to an exemplary embodiment, as shown in fig. 4, the method of recommending data including the steps of:

in step S401, when the terminal device of the login user receives the first list display instruction, the personal attention list of the login user is displayed.

The login user may be a user who logs in the target application, and the login user may log in by using user identity information thereof, for example, a user account, a user name, and the like. The login user may be a recommendation initiator, and the terminal device of the login user may install and run the target application. The server may maintain a user identity information database, configured to store information of a currently selected user in the terminal device of the login user, a user list shared by the historical users, and the like, for example, the user identity information database may store a user list shared by 20 historical users, and head portraits, nicknames, representatives, and the like of users in the user lists. The target recommendation list may be used to display recommendation information of the multiple users in the target application, for example, a user avatar, a nickname, a representative name, and the like.

It should be noted that, when the target recommendation list is opened in the target application, the information of the user works that are not included in the current recommendation list, that is, the user representatives are added to the target recommendation list in the embodiment of the present disclosure, so that a mixed arrangement effect of two content elements can be realized, the cognition of the second target user to the recommendation user is enhanced, and attention is more easily formed.

The first list display instruction can be generated when the terminal device of the login user receives a new recommendation operation triggered by the login user on the terminal device, and through the first list display instruction, the terminal device of the login user can visually display a personal attention list of the login user on a target application so as to select the user in the personal attention list and generate a target sharing list.

It should be noted that the personal attention list may be stored in the user identity information database, and the personal attention list includes all users subscribed and attended by the logged-in users, and may be presented in the target application in a table form for the user to view. The login user can add, modify and delete the personal attention list to update the personal attention list, the updating result can be synchronized into the user identity information database each time, and the request data of other users for opening the attention list is influenced.

For example, fig. 5 is an interface diagram of a target application according to an exemplary embodiment, and referring to fig. 5, a terminal device installed and running with the target application may present a personal attention list of a user in the interface when receiving a trigger operation of the user at the interface attention amount. For example, fig. 6 is an interface presentation diagram illustrating a personal attention list according to an exemplary embodiment, referring to fig. 6, which may visually present all users with attention to the user.

In step S402, the terminal device of the login user acquires the selected plurality of users from the personal attention list according to the selection instruction.

In a possible implementation manner, the terminal device of the login user may determine, according to a selection instruction triggered by the login user on a personal attention list displayed in the target application, a plurality of users in the personal attention list corresponding to the selection instruction, where the plurality of users are included in the subscription and attention users of the login user.

For example, the user may jump to the interface shown in fig. 7 by triggering the friend recommending button in fig. 6, fig. 7 is a schematic diagram illustrating a manner of selecting a target recommendation list according to an exemplary embodiment, and the user may generate the target recommendation list according to the personal attention list of the user by triggering a new recommending button. When receiving an instruction for triggering new recommendation, the terminal device may start a function of selecting a user in the personal attention list, as shown in fig. 8, where fig. 8 is an interface diagram of a selectable user according to an exemplary embodiment. The user can select the concerned user in the personal attention list, and the terminal device can receive the selection operation triggered by the user on the interface so as to perform the subsequent process of generating the target recommendation list. Fig. 9 is a schematic diagram of an interface for selecting a user to generate a target recommendation list according to an exemplary embodiment, referring to fig. 9, a user triggers an operation of selecting a third target user on the interface, and when the terminal device detects the selection operation of the user, the terminal device selects a corresponding user to generate the target recommendation list, as shown in fig. 7, the target recommendation list totally includes 4 users, which are user 1, user 2, user 3, and user 5, respectively.

It should be noted that the target recommendation list may include a user of the login user who has paid attention to the user, in another possible implementation manner, the target recommendation list may further include a user of the login user who has a forward interactive relationship, and it should be noted that the forward interactive relationship may be a praise relationship or a forward comment relationship. The positive comment relationship refers to that the comment contains positive content, and includes, for example, positive keywords such as "excellent" and "too good". The target recommendation list may further include more users, and the number of users in the target recommendation list is not limited in the embodiment of the present disclosure.

In step S403, the terminal device of the login user generates a target recommendation list based on the plurality of users.

In a possible implementation manner, the terminal device of the login user generates a list including a plurality of users according to the plurality of users in the personal attention list corresponding to the selection instruction, and the list is the target recommendation list. For example, the user may trigger a recommendation operation in the interface shown in fig. 9, and the terminal device may automatically generate the target recommendation list according to the recommendation instruction.

Alternatively, the steps S401 to S403 may be replaced by any one of the following implementations:

in a first possible implementation manner, when the terminal device of the login user receives a second list display instruction, at least one history recommendation list of the user is displayed, and according to a selection instruction, a history recommendation list corresponding to the selection instruction is selected from the at least one history recommendation list as a target recommendation list.

The at least one history recommendation list may be stored in the user identity information database, and may include a plurality of users who recommend based on the personal attention list of the logged-in user, user information of the plurality of users, and the like. The second list display instruction can be generated when the terminal equipment of the login user receives a recommendation history selection operation triggered by the login user on the terminal equipment, and the terminal equipment of the login user can visually display the history recommendation list of the login user on the target application through the second list display instruction so that the login user can directly select one history recommendation list as the target recommendation list.

Referring to fig. 7, fig. 7 further shows an interface schematic diagram of a history recommendation list, where the interface schematic diagram includes 5 history recommendation lists, which are recommendation 1, recommendation 2, recommendation 3, recommendation 4, and recommendation 5, respectively, and when the terminal device detects that a user triggers any one of the recommendation lists, the terminal device may show the user included in the corresponding history recommendation list in an interface of the target application.

It should be noted that, in the embodiment of the present disclosure, the number of the history recommendation lists included in the interface display diagram of the history recommendation list is not limited.

In a second possible implementation manner, when the terminal device of the login user receives a second list display instruction, at least one history recommendation list of the user is displayed, and according to a selection instruction, a target recommendation list is generated from the at least one history recommendation list based on an editing operation on the history recommendation list corresponding to the selection instruction.

After the terminal device of the login user visually displays the history recommendation list of the login user on the target application, the terminal device of the login user may perform an editing operation on a plurality of users in the history recommendation list according to a selection instruction triggered by the login user on the history recommendation list displayed in the target application, so as to generate a new target recommendation list. For example, the login user may delete at least one user in the history recommendation list, a new user may be added to the history recommendation list, and the terminal device of the login user may obtain the target recommendation list according to a specific editing operation of the login user.

In the first possible implementation manner, the recommendation is performed by selecting one from the generated recommendation lists, so that the historical recommendation list is reused, a process that a plurality of recommendation users need to reselect one by one is avoided, and tedious operations which need to be performed originally are reduced. In the second implementation mode, an editing function in the history recommendation list is further provided, and the history recommendation list is reused and edited based on the actual requirement, so that the complicated operation is reduced, and the recommendation flexibility is improved.

In step S404, the terminal device of the login user stores the target recommendation list in the target database.

In a possible implementation manner, a server maintains a plurality of interested user list databases, which are target databases and used for storing the target recommendation list.

It should be noted that the target database may be a shared database, and may be accessed by other users besides the login user. The target database may further store user information in the target recommendation list, and the like, and the specific content stored in the plurality of focused user list databases is not limited in the embodiment of the present disclosure.

It should be noted that the terminal device of the login user may also perform editing operations such as addition, deletion, or modification on the target recommendation list and the users in the target recommendation list, and may also synchronize the editing operations to the target database, and synchronize the result after the editing operations to the target recommendation platform in real time, allowing the target recommendation list to be processed for the second time after being sent, thereby enhancing the dissemination. For example, fig. 10 is an interface diagram illustrating an editing operation triggered on a target application interface according to an exemplary embodiment, referring to fig. 10, a user may trigger an editing operation in the interface shown in fig. 10 to perform an operation of modifying a recommendation list name on a recommendation list shown in fig. 11, so as to obtain a target recommendation list with a new name shown in fig. 12, fig. 11 is an interface diagram illustrating an unmodified name recommendation list according to an exemplary embodiment, and fig. 12 is an interface diagram after modifying a recommendation list name shown in accordance with an exemplary embodiment. A recommendation list interface diagram after name modification is shown in fig. 13, and fig. 13 is an interface diagram of a recommendation list after an editing operation according to an exemplary embodiment. Moreover, after the target recommendation list is edited, the target recommendation list can be simply sorted, the propaganda performance of the target recommendation list can be enhanced, users who are interested in the target recommendation list can be found out, the users can be attracted, application publishers can be helped to find and classify high-quality users in batches, and recommendation quality and search quality can be improved.

In step S405, the terminal device of the login user acquires a list address of the target recommendation list in the target database.

It should be noted that, after the target recommendation list is stored in the target database, the server may obtain a list address of the target recommendation list in the target database, and send the list address of the target recommendation list to the terminal device of the login user.

In step S406, the terminal device of the login user determines, according to the recommendation instruction, a target recommendation platform corresponding to the recommendation instruction.

In a possible implementation manner, the terminal device of the login user determines the target recommendation platform according to the operation of selecting the recommendation platform triggered by the login user on the target application. For example, the terminal device of the login user may display a recommendation platform supported by the target application in the target application according to a recommendation operation triggered by the login user on the target application, from which the login user may select, and the terminal device of the login user may determine the target recommendation platform according to the selection of the login user.

It should be noted that the target recommendation platform may be the same target application platform, or may also be a third-party platform, such as a social application program, an instant messaging application program, an information sharing program, and the like used in daily life, and the specific type of the target recommendation platform and the number of the recommendation platforms are not limited in the embodiment of the present disclosure.

Fig. 14 is a schematic interface diagram illustrating a target recommendation platform determination according to an exemplary embodiment, and referring to fig. 14, the diagram includes 5 recommendation platforms, namely, a recommendation platform 1, a recommendation platform 2, a recommendation platform 3, a recommendation platform 4, and a recommendation platform 5. In addition, fig. 14 also includes a recommendation manner of the copy link, and when there is no recommendation platform that meets the user requirement in the above 5 recommendation platforms, the user may select the recommendation manner of the copy link, and then open the recommendation platform that meets the requirement, and may also implement the determination of the recommendation platform. That is, when the terminal device performs the recommendation platform display, the terminal device may further display a copy link option to provide a linked copy function, and when the copy link option is triggered, the terminal device may copy the list address and determine where to share based on the operation of the user.

In step S407, the terminal device of the login user acquires the recommended card format supported by the target recommendation platform.

The recommended card format is used for indicating information of display aspects such as typesetting, data format and the like of the recommended card. It should be noted that the recommendation card formats supported by different target recommendation platforms may be different.

For how to obtain the recommended card format, any one of the following implementation manners can be adopted:

in a possible implementation manner, the terminal device of the login user may store recommended card formats supported by different target recommendation platforms, and determine a corresponding recommended card format from the stored recommended card formats according to the determined target recommendation platform.

In another possible implementation manner, the terminal device of the login user may detect the target recommendation platform in real time, and configure the corresponding recommendation card format in real time according to the target recommendation platform.

In step S408, the terminal device of the login user generates a recommendation card conforming to the recommendation card format according to the recommendation card format supported by the target recommendation platform and the target recommendation list.

In a possible implementation manner, the terminal device of the login user performs layout and format modification on the content in the recommendation card such as a document, a recommendable address and the like according to different recommendation platforms and requirements of the different recommendation platforms on the format of the recommendation card to generate the recommendation card meeting the format requirement.

In step S409, the terminal device of the login user sends a recommendation card including the list address of the target recommendation list to the target recommendation platform.

It should be noted that the recommendation card may include a document, a list address of the target recommendation list in the target database, and the like, and the terminal device of the second target user may access the list address of the target recommendation list in the recommendation card to implement a series of operations on the target recommendation list.

Fig. 15 is an operation diagram of sending a recommendation card according to an exemplary embodiment, referring to fig. 15, a user may click a send button, a terminal device sends the recommendation card to a target recommendation platform according to a send instruction triggered by the user, and after the sending is successful, the target recommendation platform may return a prompt of the sending success to the terminal device, as shown in fig. 16, and fig. 16 is an interface diagram of prompting the sending success according to an exemplary embodiment. A user may trigger a return target application button in the interface shown in fig. 16, and the terminal device returns the corresponding target application according to the return target application instruction, where a specific interface schematic diagram is shown in fig. 17, and fig. 17 is an interface schematic diagram of a return target application according to an exemplary embodiment.

In step S410, the terminal device of the second target user acquires the recommendation card of the login user.

It should be noted that the second target user may be a user having a second preset relationship with the login user, where the second preset relationship may be a friend relationship, an attention relationship, a subscription relationship, and the like, and the specific type of the second preset relationship is not limited in the embodiment of the present disclosure. The second target user may be a recommendation receiver, the terminal device of the second target user may install and run the target application, and the terminal device of the second target user and the terminal device of the login user may be different types of terminal devices. The list address of the target recommendation list acquired by the second target user may be an address of the target recommendation list in the multiple interested user list databases.

In a possible existing mode, the second target user may browse on a social platform such as a social application program, an instant messaging application program, an information sharing program, and the like, and obtain a recommendation card sent by the terminal device of the login user, where the recommendation card includes a list address of the target recommendation list. For the terminal device, the recommendation card may be displayed on the target recommendation platform, or may be displayed on an interface of the target application, for example, fig. 18 is an interface schematic diagram of a recommendation card shown according to an exemplary embodiment, and referring to fig. 18, the recommendation card may be visually displayed.

In step S411, the terminal device of the second target user accesses the list address of the target recommendation list in the recommendation card according to the viewing instruction, and displays the target recommendation list.

In a possible implementation manner, the terminal device of the second target user may display a prompt for opening the target application according to a viewing instruction for opening the recommendation card triggered by the second target user on the social platform, send a list address of the target recommendation list to the target application, open the target application according to the prompt by the terminal device of the second target user, and display the target recommendation list on the target application. For example, fig. 19 is an interface diagram illustrating a target recommendation list in a target recommendation platform according to an exemplary embodiment, and referring to fig. 19, the interface diagram may visually show the form of the recommendation list on the target recommendation platform.

It should be noted that, the present disclosure is illustrated by taking a target recommendation platform as a platform of a target application as an example, in some possible implementations, the target recommendation platform may also be another platform besides the platform of the target application, and in step 411, the target application may be different from the target application of step 401 described above.

In step S412, when the terminal device of the second target user detects a trigger operation on the first attention option of the target recommendation list, a first attention instruction on the target recommendation list is triggered, and the terminal device of the second target user determines the multiple users as a third target user in the target application, and establishes an attention relationship between the second target user and the third target user.

It should be noted that the third target user is a user corresponding to the attention instruction in the multiple users, the target recommendation list may further include a first attention option of the multiple users, the first attention option is a user paying attention to all users by one key, and the first attention option may be used to determine all users in the target recommendation list as the third target user when being triggered, so as to implement one key attention to all users in the recommendation list.

The step of establishing the attention relationship refers to sending the identity information of the third target user and the identity information of the second target user in the target recommendation list to a server of the target application, and associating the third target user with the second target user in the target recommendation list by the server according to the identity information, that is, establishing the attention relationship between the user who is successfully recommended this time and the second target user.

Fig. 20 is a flowchart illustrating a user paying attention to all recommended users by one touch according to an exemplary embodiment, and referring to fig. 20, the flowchart may briefly show the flows of determining the users as the third target user and establishing the attention relationship between the second target user and the third target user in the target application in steps S401 to S409. Referring to fig. 19, the user may trigger the one-touch-attention button in the figure, and after the terminal device detects the one-touch-attention command, a prompt interface shown in fig. 17 may be displayed, fig. 21 is an interface schematic diagram illustrating a method for prompting to open a target recommendation platform according to an exemplary embodiment, a user may trigger a permission button in the diagram, after the terminal device detects the permission instruction, jump to a target application interface shown in fig. 22, fig. 22 is a schematic diagram illustrating an interface of a target recommendation list in a target application, according to an exemplary embodiment, a user may implement one-time attention to all users in the recommendation list by triggering the one-touch attention button in fig. 22, and after the attention is successful, the terminal device will display a prompt on the interface of the target application that the attention was successful, see figure 23, FIG. 23 is an interface diagram illustrating a prompt for success, according to an example embodiment.

Alternatively, the step S412 may be replaced by the following implementation manner:

when the terminal device of the second target user detects a trigger operation on any second attention option, a second attention instruction on the target recommendation list is triggered, the terminal device of the second target user determines the user corresponding to the second attention option as a third target user in the target application, and an attention relationship between the second target user and the third target user is established.

The number of the second attention options may be multiple, one second attention option corresponds to one user, and the second target user may determine, in the target application, the user corresponding to the second attention option as a third target user by triggering any one of the second attention options, thereby realizing attention to the user corresponding to the second attention option. Optionally, the second target user may also trigger multiple second attention options at the same time, so as to realize simultaneous attention of multiple users. Referring to fig. 22, a user may implement attention to some users in a recommendation list by triggering an attention button corresponding to each recommended user in the recommendation list, for example, implement attention to the user 1 by triggering an attention button corresponding to the user 1, and after the attention is successful, the terminal device displays a prompt indicating that the attention is successful on an interface of the target application, referring to fig. 24, where fig. 24 is an interface diagram for prompting that the attention is successful according to an exemplary embodiment.

It should be noted that, in both of the above two implementation manners, the user who does not need to recommend the receiving party opens the target applications one by one for viewing when other users recommend a plurality of personal homepages, so that the operation cost is reduced, and the user experience is improved.

When the same user as the user in the personal attention list of the second target user is detected, even if the second target user already selects the repeat user, the user equipment of the second target user can automatically skip the attention of the repeat user, so that the duplicate detection is realized. The terminal device of the second target user may further detect a user in the target recommendation list, and when the same user as in the blacklist of the second target user is detected, the user device of the second target user may directly skip attention to the user even if the second target user has selected the blacklist user.

The terminal device of the second target user can also analyze the attention preference type of the second target user according to the concerned user of the second target user, detect the user type of the user in the recommendation list, and when detecting the user with the different history attention preference type or the similarity between the types of the user and the history attention preference type of the second target user smaller than the target similarity, display a prompt whether to pay attention to the user, so that the second target user can select whether to pay attention according to the current requirement of the user, thereby avoiding the wrong attention of the user to the user who is not interested in the user, and avoiding the subsequent redundant operation of canceling the attention.

It should be noted that, in the related art, when recommending the user by finding the personal homepage of the user, the server is required to count the attention state of the user, but the embodiment of the present disclosure may uniformly display the user in the recommendation card in an unapproved state, and count the user in the target recommendation list that the second target user selects to pay attention when opening the target application, so that the pressure of reading the database by the terminal device may be reduced, and the maintenance of the separate attention count table may also be avoided.

The recommendation process based on the historical recommendation list is illustrated from the perspective of underlying data interaction, fig. 25 is a specific data request and interface flow diagram of a method for recommending data according to an exemplary embodiment, and referring to fig. 25, the specific data request and interface flow includes: a client of a target application starts a target database to issue whether a function of recommending a personal attention list, the maximum quantity of batch recommendations and the like are started, a server returns the configuration of an information consistency checker, the configuration of the information consistency checker can be used for determining the format or other requirements of identity information, Uniform Resource Locators (URLs) and the like of the target recommendation list, the client acquires a historical recommendation list of the personal attention list and returns the historical recommendation list to the server, the server acquires user information of the historical recommendation list from the database, generates the recommendation list such as user head images, nicknames, representatives and the like, the client creates the recommendation list from the personal attention list and sends the recommendation list to the server, the server generates identity information and stores recommendation records into the database, and meanwhile creates the identity information of the recommendation list and a sharing mode, The file, the URL and the like are sent to a client, the client adds identity information, a sharing mode, the file, the URL and the like into a recommendation list, a server modifies the recommendation list in a target database according to the identity information and sends the modified result to the client, the client calls to prepare to obtain the recommendation list when needing to recommend, the server searches data according to the identity information and returns the result, the created recommendation list identity information, the sharing mode, the file, the URL and the like are created according to the returned result, the client shares the created result to a target recommendation platform, a user can click a link in a recommendation card on a third-party platform to obtain a recommendation list, the server obtains the recommendation list from a target database after receiving an operation instruction of the user, the recommendation list is rendered and then returned to the client, and the client opens a target application to obtain the recommendation list, the server side obtains the recommended information from the target database, secondary rendering is carried out on the recommended list and then the recommended list is returned to the client side, the user of the client side clicks batch attention, the selected user in the recommended list is led into the personal attention list of the user, the server carries out corresponding operation on data in the target database according to the selected user, the amount of successful attention is returned, and batch attention on the user is achieved.

It should be noted that, after receiving the successful amount of attention, the terminal device of the logged-in user may further store the recommendation list as a history recommendation list in the user identity information database, where the user identity information database and the target database may be maintained by the same server, the two databases may implement data synchronization update, the terminal device of the logged-in user may send a request for deleting the target recommendation list to the server, the server deletes the sent target recommendation list in the target database, for example, the user may trigger a deletion operation in the interface shown in fig. 10, and jump to the interface shown in fig. 26, where fig. 26 is an interface schematic diagram for confirming the deletion history recommendation list according to an exemplary embodiment, and after confirming the deletion, the interface schematic diagram for the history recommendation list after deleting a recommendation list shown in fig. 27 is obtained, FIG. 27 is an interface diagram illustrating a history recommendation list after a delete operation in accordance with an illustrative embodiment. Accordingly, when the terminal device of the second target user opens the list address of the recommendation list in the recommendation card again, the displayed recommendation list is as shown in fig. 28, and fig. 28 is an interface schematic diagram of the recommendation list after the deletion operation according to an exemplary embodiment. Through the process, the recommendation of the high-quality user can be realized, the privacy of the user can be protected, and the user information in the personal attention list of the user can be prevented from being leaked.

According to the data recommending method, the terminal equipment of the login user selects a plurality of users from the personal attention list of the user to generate the target recommendation list, the target recommendation list is stored in the database, the target recommendation platform is determined according to the recommendation instruction, the recommendation card comprising the list address of the target recommendation list is sent to the target platform, the terminal equipment of the second target user accesses the list address of the target recommendation list in the recommendation card according to the viewing instruction and displays the target recommendation list, the user can conveniently select the plurality of users to pay attention at one time, batch attention to the recommended users can be achieved, the operation cost is reduced, the user experience is improved, and the friend attention number and the user retention rate of the user are improved.

All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.

Fig. 29 is a block diagram illustrating an apparatus for recommending data according to an example embodiment. Referring to fig. 29, the apparatus includes an acquisition unit 2901, a platform determination unit 2902, and a transmission unit 2903.

The obtaining unit 2901 is configured to perform obtaining, from first target users of the login users, a target recommendation list based on a plurality of first target users corresponding to the selection instruction, the target recommendation list being used to show recommendation information of the plurality of first target users in the target application;

the obtaining unit 2901 is further configured to perform obtaining a list address of the target recommendation list in the target database;

the platform determining unit 2902 is configured to execute determining, according to a recommendation instruction, a target recommendation platform corresponding to the recommendation instruction;

the sending unit 2903 is configured to perform sending the list address of the target recommendation list to the target recommendation platform.

In one possible implementation, the apparatus further includes:

the display unit is configured to display a plurality of first target users of the login user when receiving a first list display instruction;

the obtaining unit 2901 is further configured to execute obtaining the selected plurality of first target users according to the selection instruction;

the generating unit is configured to perform generating the target recommendation list based on the selected plurality of first target users.

In a possible implementation manner, the presentation unit is further configured to perform presentation of at least one history recommendation list of the login user when a second list presentation instruction is received;

the selection unit is configured to select a history recommendation list corresponding to the selection instruction from the at least one history recommendation list as the target recommendation list according to the selection instruction.

In one possible implementation, the apparatus further includes:

the generating unit is also configured to execute the recommendation modes supported by the target recommendation platform and the target recommendation list, and generate the recommendation card conforming to the target recommendation card format.

In one possible implementation, the apparatus further includes:

the synchronization unit is configured to perform synchronizing the editing operation to the target database.

By the device provided by the embodiment of the disclosure, the terminal device of the login user can select a plurality of users from a plurality of first target users having a first preset relationship with the login user to generate the recommendation list, or directly using one of the historical recommendation lists as the recommendation list, or modifying one of the historical recommendation lists to generate a new recommendation list, and storing the recommendation list in a database, determining a target recommendation platform according to the recommendation instruction, and sending the recommendation card including the list address of the target recommendation list to a second target user, wherein in the process, when a plurality of users need to share, the complicated operation of finding the personal homepages of the users who want to share one by one is not needed, and the sharing can be directly carried out through the recommendation list, so that the sharing of a plurality of users at one time is realized, the operation cost is reduced, and the user experience is improved.

Fig. 30 is a block diagram illustrating an apparatus for recommending data according to an example embodiment. Referring to fig. 30, the apparatus includes an address acquisition unit 3001, an access unit 3002, a display unit 3003, and a setup unit 3004.

The address obtaining unit 3001 is configured to perform obtaining a recommendation card of a login user, where the recommendation card includes a list address of a target recommendation list, and the target recommendation list is used to display recommendation information of a plurality of first target users in a target application;

the accessing unit 3002 is configured to execute accessing a list address of the target recommendation list in the recommendation card according to a viewing instruction;

the display unit 3003 is configured to perform displaying the target recommendation list.

In one possible implementation, the apparatus further includes:

the establishing unit is configured to execute an attention instruction according to the target recommendation list, and in the target application, establish an attention relationship between a second target user and a third target user, where the second target user and the login user have a second preset relationship, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

In one possible implementation, the apparatus further includes:

the triggering unit is configured to execute a first attention instruction for the target recommendation list when a triggering operation of the first attention option is detected;

the user determination unit is configured to execute in the target application to determine the plurality of first target users as third target users;

the user determination unit is further configured to execute in the target application, and determine the first target user corresponding to the second attention option as a third target user;

Through the data recommending device provided by the disclosure, the terminal device of the second target user accesses the list address of the target recommendation list in the recommendation card according to the viewing instruction and displays the target recommendation list, the user can pay attention to all users by one key and can also select a plurality of users to pay attention at one time, batch attention to the recommended users is realized, the operation cost is reduced, the user experience is improved, and the friend attention number and the user retention rate of the users can also be improved.

It should be noted that: in the device for recommending data according to the above embodiment, when implementing the recommended data, only the division of the functional modules is described as an example, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the terminal is divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus for recommending data and the method for recommending data provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

With regard to the apparatus in the above-described embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.

Fig. 31 is a block diagram of a terminal device 3100 shown in accordance with an example embodiment. For example, the terminal device 3100 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.

Referring to fig. 31, terminal device 3100 may include one or more of the following components: a processing component 3110, a memory 3120, a power component 3130, a multimedia component 3140, an audio component 3150, an input/output (I/O) interface 3160, a sensor component 3170, and a communication component 3180.

The processing component 3110 generally controls overall operation of the terminal device 3100, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing components 3110 may include one or more processors 3111 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 3110 may include one or more modules that facilitate interaction between the processing component 3110 and other components. For example, the processing component 3110 may include a multimedia module to facilitate interaction between the multimedia component 3140 and the processing component 3110.

The memory 3120 is configured to store various types of data to support operation at the terminal device 3100. Examples of such data include instructions for any application or method operating on the terminal device 3100, contact data, phonebook data, messages, pictures, videos, etc. The memory 3120 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 3130 provides power to the various components of the terminal device 3100. The power components 3130 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the terminal device 3100.

The multimedia component 3140 comprises a screen between the terminal device 3100 and the user providing an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 3140 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the terminal device 3100 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

Audio component 3150 is configured to output and/or input audio signals. For example, audio component 3150 may include a Microphone (MIC) configured to receive external audio signals when terminal device 3100 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 3120 or transmitted via the communication component 3180. In some embodiments, audio component 3150 also includes a speaker for outputting audio signals.

I/O interface 3160 provides an interface between processing component 3110 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

Sensor assembly 3170 includes one or more sensors for providing various aspects of status assessment for terminal device 3100. For example, sensor component 3170 may detect the open/closed state of terminal device 3100, the relative positioning of components, such as a display and keypad of terminal device 3100, sensor component 3170 may also detect a change in position of terminal device 3100 or one component of terminal device 3100, the presence or absence of user contact with terminal device 3100, orientation or acceleration/deceleration of terminal device 3100, and a change in temperature of terminal device 3100. Sensor assembly 3170 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 3170 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 3170 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 3180 is configured to facilitate communication between terminal device 3100 and other devices in a wired or wireless manner. The terminal device 3100 may access a wireless network based on a communication standard, such as WiFi, an operator network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 3180 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1080 also includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the terminal device 3100 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the above-described methods.

In an exemplary embodiment, there is also provided a storage medium comprising instructions, such as the memory 3120 comprising instructions, which are executable by the processor 3111 of the terminal device 3100 to perform the user method described above. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Fig. 32 is a block diagram illustrating a server 3200 according to an example embodiment. Referring to fig. 32, server 3200 includes a processing component 3201 that further includes one or more processors, and memory resources, represented by memory 3202, for storing instructions, e.g., applications, that are executable by processing component 3201. The application programs stored in memory 3202 may include one or more modules that each correspond to a set of instructions. Further, the processing component 3201 is configured to execute instructions to perform the method of recommending data described above.

The server 3200 may also include a power component 3203 configured to perform power management of the device 3200, a wired or wireless network interface 3204 configured to connect the device 3200 to a network, and an input-output (I/O) interface 3205. The device 3200 may operate based on an operating system stored in the memory 3202, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of recommending data, the method comprising:

the method comprises the steps of obtaining a target recommendation list based on a plurality of first target users corresponding to a selection instruction from first target users of login users, and storing the target recommendation list to a target database, wherein the first target users are used for representing users having a first preset relation with the login users, the target recommendation list is used for displaying recommendation information of the plurality of first target users in target application, or determining a historical recommendation list corresponding to the selection instruction from at least one historical recommendation list of the login users, and taking the historical recommendation list corresponding to the selection instruction as the target recommendation list, wherein the historical recommendation list comprises the plurality of first target users recommended based on the login users;

acquiring a list address of the target recommendation list in the target database;

2. The method of claim 1, wherein the obtaining a target recommendation list based on a plurality of first target users corresponding to the selection instruction from among the first target users of the login users comprises:

generating the target recommendation list based on the plurality of first target users.

3. The method according to claim 1, wherein the determining a history recommendation list corresponding to the selection instruction from at least one history recommendation list of the logged-in user, and the using the history recommendation list corresponding to the selection instruction as the target recommendation list comprises:

when a second list display instruction is received, displaying at least one history recommendation list of the login user, wherein the history recommendation list comprises a plurality of first target users recommended based on the login user;

4. The method of claim 3, wherein when receiving a second list presentation instruction, presenting at least one historical recommendation list of the logged-in user, the historical recommendation list comprising a plurality of first target users who recommend based on the logged-in user, the method further comprising:

and according to the selection instruction, generating the target recommendation list from the at least one history recommendation list based on editing operation of the history recommendation list corresponding to the selection instruction.

5. The method of recommending data according to claim 1, wherein before said sending a recommendation card including a list address of said target recommendation list to said target recommendation platform, said method further comprises:

6. The method of recommending data according to claim 1, wherein after said sending a recommendation card including a list address of said target recommendation list to said target recommendation platform, said method further comprises:

synchronizing the editing operation to the target database.

7. The method of recommending data according to claim 1, wherein said first target user comprises at least one of:

a focused user of the logged-on user;

and the users with the forward interactive relationship of the login users.

8. A method of recommending data, the method comprising:

obtaining a recommendation card of a login user, wherein the recommendation card comprises list addresses of a target recommendation list in a target database, the target recommendation list is generated based on a plurality of first target users corresponding to selection instructions, or the target recommendation list is a history recommendation list corresponding to the selection instructions in at least one history recommendation list of the login user, the first target users are used for representing users having a first preset relationship with the login user, and the target recommendation list is used for displaying recommendation information of the plurality of first target users in target application;

and according to a viewing instruction, accessing the list address of the target recommendation list in the recommendation card in the target database, and displaying the target recommendation list.

9. The method for recommending data according to claim 8, wherein said accessing a list address of said target recommendation list in said recommendation card in said target database according to a viewing instruction, and after displaying said target recommendation list, said method further comprises:

according to the attention instruction of the target recommendation list, establishing an attention relationship between a second target user and a third target user in the target application, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

10. The method of recommending data according to claim 8, wherein said displaying said target recommendation list comprises:

skipping from the current application to the target application, and displaying the target recommendation list in the target application.

11. The method for recommending data according to claim 9, wherein the target recommendation list includes a first attention option of the first target users, and the first attention option is used for paying attention to the first target users when being triggered; the establishing of the attention relationship between the second target user and the third target user in the target application according to the attention instruction of the target recommendation list comprises: when the triggering operation of the first attention option is detected, triggering a first attention instruction of the target recommendation list, determining the plurality of first target users as third target users in the target application, and establishing an attention relationship between the second target users and the third target users;

or the like, or, alternatively,

the target recommendation list comprises a second attention option of each first target user in the plurality of first target users, and the second attention option is used for paying attention to the first target user corresponding to the second attention option when being triggered; the establishing of the attention relationship between the second target user and the third target user in the target application according to the attention instruction of the target recommendation list comprises: when the triggering operation of any second attention option is detected, a second attention instruction of the target recommendation list is triggered, in the target application, the first target user corresponding to the second attention option is determined as a third target user, and the attention relationship between the second target user and the third target user is established.

12. An apparatus for recommending data, the apparatus comprising:

the obtaining unit is configured to obtain a target recommendation list based on a plurality of first target users corresponding to a selection instruction from first target users of login users, store the target recommendation list in a target database, wherein the first target users are used for representing users having a first preset relationship with the login users, the target recommendation list is used for displaying recommendation information of the plurality of first target users in a target application, or determine a history recommendation list corresponding to the selection instruction from at least one history recommendation list of the login users, and use the history recommendation list corresponding to the selection instruction as the target recommendation list, and the history recommendation list comprises the plurality of first target users recommended based on the login users;

the obtaining unit is further configured to perform obtaining a list address of the target recommendation list in the target database;

the platform determining unit is configured to execute the step of determining a target recommendation platform corresponding to a recommendation instruction according to the recommendation instruction;

a sending unit configured to execute sending of a recommendation card including a list address of the target recommendation list to the target recommendation platform.

13. The apparatus for recommending data according to claim 12, further comprising:

a generating unit configured to perform generating the target recommendation list based on the plurality of first target users.

14. The apparatus for recommending data according to claim 13, wherein said presentation unit is further configured to perform presenting at least one historical recommendation list of said logged-in user when receiving a second list presentation instruction;

the device further comprises:

and the selecting unit is configured to execute selecting a history recommendation list corresponding to the selecting instruction from the at least one history recommendation list as the target recommendation list according to the selecting instruction.

15. The apparatus according to claim 14, wherein the generating unit is further configured to execute generating the target recommendation list from the at least one history recommendation list according to the selection instruction based on an editing operation on a history recommendation list corresponding to the selection instruction.

16. The apparatus for recommending data according to claim 13, further comprising:

a format obtaining unit configured to perform obtaining of a recommended card format supported by the target recommendation platform;

the generating unit is further configured to execute generating a recommendation card conforming to the target recommendation card format according to the recommendation card format supported by the target recommendation platform and the target recommendation list.

17. The apparatus for recommending data according to claim 12, further comprising:

18. An apparatus for recommending data, the apparatus comprising:

the address acquisition unit is configured to execute acquisition of a recommendation card of a login user, wherein the recommendation card comprises a list address of a target recommendation list in a target database, the target recommendation list is generated based on a plurality of first target users corresponding to a selection instruction, or the target recommendation list is a history recommendation list corresponding to the selection instruction in at least one history recommendation list of the login user, the first target users are used for representing users having a first preset relationship with the login user, and the target recommendation list is used for displaying recommendation information of the plurality of first target users in a target application;

the access unit is configured to execute accessing a list address of the target recommendation list in the recommendation card in the target database according to a viewing instruction;

a display unit configured to perform displaying the target recommendation list.

19. The apparatus for recommending data according to claim 18, further comprising:

and the establishing unit is configured to execute an attention instruction according to the target recommendation list, and establish an attention relationship between a second target user and a third target user in the target application, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a first target user corresponding to the attention instruction in the plurality of first target users.

20. The apparatus for recommending data according to claim 18, further comprising:

21. The apparatus for recommending data according to claim 19, wherein the target recommendation list includes a first attention option of the first target users, and the first attention option is used for paying attention to the first target users when being triggered;

the device further comprises:

a triggering unit configured to execute a first attention instruction to the target recommendation list when a triggering operation on the first attention option is detected;

22. The apparatus according to claim 21, wherein the triggering unit is further configured to execute a second attention instruction for triggering the target recommendation list when a triggering operation for any second attention option is detected;

the user determination unit is further configured to determine, in the target application, a first target user corresponding to the second attention option as a third target user;

23. A terminal device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of recommending data of any of claims 1-7 or 8-11.

24. A storage medium, characterized in that instructions in the storage medium, when executed by a processor of a terminal device, enable the terminal device to perform a method of recommending data according to any of claims 1 to 7 or claims 8 to 11.