CN110737844A

CN110737844A - Data recommendation method and device, terminal equipment and storage medium

Info

Publication number: CN110737844A
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: 2020-01-31
Anticipated expiration: 2039-10-14
Also published as: CN110737844B

Abstract

The method provided by the disclosure selects a plurality of users from a plurality of -th target users having a preset relationship with a login user to generate a target recommendation list through the terminal device of the login user, stores the target recommendation list in a database, determines a target recommendation platform according to a recommendation instruction, sends a recommendation card comprising a 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 by 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 paying attention, batch attention to the recommended users can be realized, 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.

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, an apparatus, a terminal device, and a storage medium for recommending types of data.

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 present disclosure provides methods, apparatuses, terminal devices and storage media for recommending data, so as to solve at least the problems of high cost of user recommendation operation and poor user experience in the related art.

According to an th aspect of the disclosed embodiment, a method for providing recommended data includes:

acquiring a target recommendation list based on target users corresponding to a selection instruction from th target users of the login user, wherein the th target user is used for representing a user having a th preset relationship with the login user, and the target recommendation list is used for displaying recommendation information of th 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 possible implementation manners, the obtaining the target recommendation list based on the th target users corresponding to the selection instruction from the th target users of the logged-in users includes:

when an th list showing instruction is received, showing a plurality of th target users of the login user;

according to the selection instruction, acquiring th target users which are selected;

the target recommendation list is generated based on the selected th target users.

when a second list showing instruction is received, showing at least historical recommendation lists of the login user, wherein the historical recommendation lists comprise a plurality of target users which recommend based on the login user;

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

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

In possible implementation manners, 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 possible implementation manners, 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 possible implementations, the target users include at least :

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 are provided methods 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 th 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 possible implementation manners, 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, an attention relationship between a second target user and a third target user is established, wherein the second target user is a user having a second preset relationship with the login user, and the third target user is a -th target user corresponding to the attention instruction in the -th target users.

In possible implementation manners, 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 possible implementations, the target recommendation list includes th focus options of the th target users, and the th focus option is used for focusing on the th target users when 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:

when the triggering operation on the th attention option is detected, th attention instructions on the target recommendation list are triggered, the th target users are determined to be third target users in the target application, and attention relationships between the second target users and the third target users are established.

In possible implementations, the target recommendation list includes a second attention option of the th target users, the second attention option being used for paying attention to the th target users when triggered;

when the triggering operation of the second attention option of any is detected, a second attention instruction of the target recommendation list is triggered, in the target application, the -th target user corresponding to the second attention option is determined as a third target user, and an attention relationship between the second target user and the third target user is established.

According to a third aspect of the embodiments of the present disclosure, there are provided kinds of apparatuses for recommending data, including:

the obtaining unit is configured to obtain a target recommendation list based on a plurality of target users corresponding to the selection instruction from th target users of the login user, wherein the th target user is used for representing a user with a -th preset relationship with the login user, and the target recommendation list is used for showing recommendation information of the plurality of th 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 possible implementations, the apparatus further includes:

a presentation unit configured to perform presenting a plurality of th target users of the login user when receiving an th list presentation instruction;

the obtaining unit is further configured to execute obtaining the selected multiple th target users according to the selection instruction;

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

In possible implementation manners, the presenting unit is further configured to perform presenting at least historical recommendation lists of the logged-in user when receiving a second list presenting instruction;

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

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

In possible implementations, 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 possible implementations, 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 are provided kinds of apparatuses for recommending data, including:

the address acquisition unit is configured to execute acquisition of recommendation cards of login users, wherein the recommendation cards comprise list addresses of target recommendation lists, and the target recommendation lists are used for displaying recommendation information of a plurality of th target users in the 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 possible implementations, 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 -th target user corresponding to the attention instruction in the -th target users.

In possible implementations, 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 possible implementations, the apparatus further includes:

a trigger unit configured to execute a trigger operation of triggering attention instructions to the target recommendation list when the attention option trigger operation is detected;

a user determination unit configured to execute determining th target users as third target users in the target application;

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

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

the user determination unit is further configured to determine th target users corresponding to the second attention option as third target users in the target application;

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

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 the embodiments of the present disclosure, there is provided storage media including:

the instructions in the storage medium, when executed by the 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 an embodiment of the present disclosure, there are provided kinds of application programs, including:

the application program product stores at least instructions that are loaded and executed by 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:

according to the method for recommending data, a plurality of users are selected from a plurality of target users which have th preset relations with a login user through terminal equipment of the login user to generate a recommendation list, of historical recommendation lists are directly used as recommendation lists, or of the historical recommendation lists are modified to generate new recommendation lists, the recommendation lists are stored in a database, a target recommendation platform is determined according to a recommendation instruction, a recommendation card comprising the list address of the target recommendation list is sent to the target platform, the terminal equipment of a second target user accesses the list address of the target recommendation list in the recommendation card according to a viewing instruction and displays the target recommendation list, the user can conveniently select a plurality of users to pay attention times, batch attention to the recommendation users can be achieved, operation cost is reduced, user experience is improved, and the number of friends and the user retention rate 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 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 diagram of an implementation environment of a method for recommending data of shown in accordance with an exemplary embodiment of ;

FIG. 2 is a flowchart illustrating a method of recommending data of , according to an exemplary embodiment of ;

FIG. 3 is a flowchart illustrating a method of recommending data of , according to an exemplary embodiment of ;

FIG. 4 is a flowchart illustrating a method of recommending data of , according to an exemplary embodiment of ;

FIG. 5 is an interface diagram of the target applications shown in accordance with an exemplary embodiment of ;

FIG. 6 is an interface presentation diagram illustrating a personal attention list according to an exemplary embodiment of ;

FIG. 7 is a schematic illustration of choices for generating a target recommendation list in accordance with an exemplary embodiment of ;

FIG. 8 is a schematic illustration of an interface of selectable users shown in accordance with an exemplary embodiment of ;

FIG. 9 is a diagram illustrating an interface of select users to generate a target recommendation list, according to an illustrative embodiment of ;

FIG. 10 is an interface diagram illustrating triggering editing operations at a target application interface, according to an illustrative embodiment of ;

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

FIG. 12 is a diagram of the interfaces after modifying the recommendation list names shown in accordance with an exemplary embodiment of ;

FIG. 13 is an interface diagram illustrating a recommendation list after editing operations in accordance with an exemplary embodiment of ;

FIG. 14 is an interface schematic of the targeted recommendation platforms shown in accordance with an exemplary embodiment of ;

FIG. 15 is a schematic illustration of the operation of the send recommendation cards shown in accordance with the exemplary embodiment of ;

FIG. 16 is an interface schematic diagram illustrating the success of the prompt transmissions according to an exemplary embodiment of ;

FIG. 17 is an interface schematic of the return target applications shown in accordance with an exemplary embodiment of ;

FIG. 18 is an interface schematic of the recommendation cards shown in accordance with an exemplary embodiment of ;

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

FIG. 20 is a flowchart illustrating users keying the attention of all recommending users according to an exemplary embodiment of ;

FIG. 21 is an interface schematic diagram illustrating prompts to open a target recommendation platform according to an exemplary embodiment of ;

FIG. 22 is an interface diagram illustrating a list of target recommendations in the target applications, according to an illustrative embodiment of ;

FIG. 23 is an illustration of an interface showing prompts concerning success according to an exemplary embodiment of ;

FIG. 24 is an illustration of an interface showing prompts concerning success according to an exemplary embodiment of ;

FIG. 25 is a flowchart illustrating a specific data request and interface for a method of recommending data of types according to an exemplary embodiment of ;

FIG. 26 is a diagrammatic illustration of an interface of the confirmed deletion history recommendation list shown in accordance with an exemplary embodiment of ;

FIG. 27 is an interface diagram illustrating a history recommendation list after deletion operations in accordance with an exemplary embodiment of ;

FIG. 28 is an interface diagram illustrating a recommendation list after deletion operations in accordance with an exemplary embodiment of ;

FIG. 29 is a block diagram illustrating an apparatus for recommending data of the variety according to an exemplary embodiment of ;

FIG. 30 is a block diagram illustrating an apparatus for recommending data of the variety according to an exemplary embodiment of ;

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

fig. 32 is a block diagram of the variety of servers 3200 shown according to an exemplary embodiment of .

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 "," "second," and the like in the description and claims of the present disclosure and in the foregoing drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Fig. 1 is a schematic diagram of an implementation environment of methods for recommending data according to an exemplary embodiment of , 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 of a smartphone, a game 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, which may be any of a video viewer, a social application, an instant messenger application, and an information sharing program, is installed and executed in the terminal device 101.

The server 102 can be connected with the terminal device 101 through a network, so that information interaction with the terminal device 101 is realized, the server 102 comprises servers, a plurality of servers, at least of a cloud computing platform and a virtualization center, the server 102 comprises a user identity information database and at least interested user list databases, the user identity information database is used for storing personal interested lists of users, user information selected at this time, user lists shared by historical users and the like, and the at least interested user list databases are used for storing target recommendation lists, user information in the target recommendation lists and the like.

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 of a method for recommending types of data according to an exemplary embodiment of , and referring to fig. 2, the specific steps include:

in step S201, a target recommendation list is obtained from the th target users corresponding to the selection instruction from the th target users of the logged-in user, the th target user being used to represent a user having a th preset relationship with the logged-in user, the target recommendation list being used to show recommendation information of the th 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 th target users having th preset relations 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.

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.

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

and synchronizing the editing operation to the target database.

In possible implementations, the target users include at least :

the concerned user of the login user;

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

According to the method provided by the embodiment of the disclosure, the terminal device of the login user can select multiple users from multiple -th target users having a preset relationship with the login user to generate the recommendation list, or of the historical recommendation lists are directly used as the recommendation lists, or of the historical recommendation lists are modified to generate new recommendation lists, the recommendation lists are stored in the database, the target recommendation platform is determined according to the recommendation instruction, and the recommendation cards including the list addresses of the target recommendation lists are sent to the second target user.

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

in step S301, a list address of a target recommendation list of the login user is obtained, where the target recommendation list is used to display recommendation information of a plurality of th target users in the 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 through checking the head portrait, the nickname and the representative of the recommendation user, information and the like, the key can pay attention to all users, and users interested in the users can be paid attention to in batch, and corresponding application programs do not need to be opened one by one for checking, so that 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, an attention relationship between the th target user and a second target user is established, the second target user is a user having a second preset relationship with the login user, and the third target user is the th target user corresponding to the attention instruction in the th target users.

In possible implementations, the target recommendation list includes a second attention option of the users, where the second attention option is used for paying attention to the users when being triggered;

Through the data recommending method 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 through an key and can select multiple users for paying attention for times, 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 be improved.

The number of the terminal devices related in the present disclosure may be two, the two terminal devices are both installed with and run with a target application, and the two terminal devices send the target application and respectively log in different users, the method provided in the embodiment of the present disclosure may be interaction between the two terminal devices logged in with different users, or interaction between a user on a terminal device and a third-party platform, and the following description will be given by taking only interaction between the two terminal devices logged in with different users and obtaining a target recommendation list based on a personal attention list of the logged-in user as an example fig. 4 is a flowchart of a method for recommending types of data shown in an exemplary embodiment according to , and as shown in fig. 4, the method for recommending data includes the following steps:

in step S401, when the terminal device of the login user receives the th list presentation instruction, the personal attention list of the login user is presented.

The server can maintain user identity information databases, which are used for storing information of users selected at this time in the terminal devices of the login users, user lists shared by historical users, and the like, for example, the user identity information database can store user lists shared by 20 historical users, and head portraits, nicknames, and representatives of the users in the user lists.

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 th 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 th list display instruction, the terminal device of the login user can visually display the personal attention list of the login user on the target application so as to select the user in the personal attention list to generate the 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 target applications shown according to an exemplary embodiment, 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 upon receiving a trigger operation of the user at the interface attention amount, for example, fig. 6 is an interface presentation diagram of personal attention lists shown according to a exemplary embodiment, referring to fig. 6, which may visually present all users in attention of 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 possible implementation manners, the terminal device of the login user may determine, according to a selection instruction triggered by the login user on the 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, a user may jump to the interface shown in fig. 7 by triggering a friend recommending user to a friend button in fig. 6, fig. 7 is a schematic diagram of a manner of selecting and generating a target recommendation list according to shown in an exemplary embodiment of , and a user may generate a target recommendation list according to a personal attention list thereof by triggering a new recommendation button, when a terminal device receives a new recommendation triggering instruction, a function of selecting a user in the personal attention list may be started, as shown in fig. 8, fig. 8 is an interface schematic diagram of selectable users according to an exemplary embodiment of , a user may select a focused user in the personal attention list, a terminal device may receive a selection operation triggered by the user at the interface to perform a subsequent process of generating a target recommendation list, fig. 9 is an interface schematic diagram of generating a target recommendation list according to selected users shown in an exemplary embodiment of , 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 corresponding user generates the target recommendation list, as shown in fig. 7, the target recommendation list includes users 1, and target recommendations 5, respectively included in the target recommendation list and the user.

It should be noted that, the target recommendation list may include users who have paid attention to the logged-in user, in another possible implementation manner, the target recommendation list may further include users who have a forward interaction relationship with the logged-in user, and it should be noted that the forward interaction relationship may be a positive relationship or a forward comment relationship.

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

In possible implementation manners, the terminal device of the login user generates lists including the multiple users, that is, target recommendation lists, according to the multiple users in the personal attention list corresponding to the selection instruction.

Alternatively, the above steps S401 to S403 may also be replaced by any following implementation manners:

in possible implementation manners, when the terminal device of the login user receives the second list presentation instruction, at least history recommendation lists of the user are presented, and according to the selection instruction, the history recommendation list corresponding to the selection instruction is selected from the at least history recommendation lists as the target recommendation list.

The at least history recommendation lists can be stored in the user identity information database, and can include multiple users who recommend based on the personal attention list of the logged-in user, user information of the multiple users, and the like, and the specific content included in the history recommendation list is not limited in the embodiment of the disclosure.

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 the user triggers any 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 history recommendation lists of the user are displayed, and according to a selection instruction, a target recommendation list is generated from the at least history recommendation lists based on an editing operation on the history recommendation list corresponding to the selection instruction.

For example, the login user may delete at least users in the history recommendation list, or add a new user in 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 possible implementation manners, the recommendation is performed by optionally selecting recommendation lists from the already generated recommendation lists, so that the reuse of the history recommendation list is realized, the process of reselection for a plurality of recommendation users is avoided, and the tedious operations which are originally required are reduced.

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

In possible implementation manners, multiple interested user list databases, which are target databases and used for storing the target recommendation list, are maintained in the server.

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.

For example, fig. 10 is an interface schematic diagram showing types of editing operations triggered on a target application interface after sending the target recommendation list according to exemplary embodiment, referring to fig. 10, a user may trigger an editing operation in an interface shown in fig. 10, and perform an operation of modifying the recommendation list name on the recommendation list shown in fig. 11 to obtain a target recommendation list with a new name shown in fig. 12, fig. 11 is an interface schematic diagram showing types of unmodified name recommendation lists according to exemplary embodiment, fig. 12 is an interface schematic diagram showing types of interface schematic diagrams after modifying the name of the recommendation list shown in exemplary embodiment, a target recommendation list with modified name is shown in fig. 13, and a target recommendation list publishing operation is beneficial to a user who may add, delete or modify the target recommendation list and a target recommendation list, and a result after the editing operation is synchronized to a target recommendation list and a target recommendation platform in real time, so as to enhance the propagation.

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.

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 the 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 as target application platforms, and 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 an interface schematic diagram of target recommendation platforms according to , shown in an exemplary embodiment, and referring to fig. 14, where the diagram includes 5 recommendation platforms, that is, a recommendation platform 1, a recommendation platform 2, a recommendation platform 3, a recommendation platform 4, and a recommendation platform 5, and in addition, fig. 14 also includes a recommendation manner of a duplicate link, and when there is no recommendation platform that meets the user requirement in the above 5 recommendation platforms, a user may select the recommendation manner of the duplicate link and then open the recommendation platform that meets the requirement, and may also implement the determination of the recommendation platform.

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 following implementations can be adopted:

in possible implementation manners, 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 manners, 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 possible implementation manners, the terminal device of the login user performs layout and format modification on the content in the recommendation cards such as documents, recommendable addresses, and the like according to different recommendation platforms and requirements of the different recommendation platforms on the format of the recommendation card, so as to generate a recommendation card meeting the format requirements.

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 series of operations on the target recommendation list.

Fig. 15 is an operation schematic diagram of types of recommendation cards sent according to an exemplary embodiment, referring to fig. 15, a user may click a send button, a terminal device sends a recommendation card to a target recommendation platform according to a send instruction triggered by the user, and after the send is successful, the target recommendation platform may return a prompt indicating that the send is successful to the terminal device, as shown in fig. 16, fig. 16 is an interface schematic diagram of types of prompt sending is successful according to an exemplary embodiment, the user may trigger a return target application button in an interface shown in fig. 16, and the terminal device returns a corresponding target application according to the return target application instruction, a specific interface schematic diagram is shown in fig. 17, and fig. 17 is an interface schematic diagram of types of return target applications according to a 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 possible existing manners, a 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 a terminal device of a login user, where the recommendation card includes a list address of a target recommendation list.

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 possible implementations, the terminal device of the second target user may display a prompt to open the target application according to a viewing instruction for opening a 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, and open the target application according to the prompt and display the target recommendation list on the target application by the terminal device of the second target user, for example, fig. 19 is an interface diagram of a target recommendation list in target recommendation platforms according to exemplary embodiments, and referring to fig. 19, the diagram may visually show a form of a recommendation list on the target recommendation platform.

It should be noted that, the present disclosure is made by taking the target recommendation platform as the platform of the 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.

In step S412, when the terminal device of the second target user detects a triggering operation on the th attention option of the target recommendation list, the th attention instruction on the target recommendation list is triggered, the terminal device of the second target user determines the plurality of 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 th attention options of the multiple users, the th attention option is a key attention all users, and the th attention option may be used to determine all users in the target recommendation list as the third target user when triggered, so as to implement key attention on 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 of user key attention to all recommended users according to an exemplary embodiment of , see fig. 20, which may briefly show a flow of establishing an 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 a key attention button in the diagram, the terminal device may display a prompt interface as shown in fig. 17 after detecting the key attention instruction, fig. 21 is a schematic diagram of an interface for prompting to open a target recommendation platform according to shown in an exemplary embodiment of , the user may trigger an allow button in the diagram, the terminal device may jump to the target application interface as shown in fig. 22 after detecting the allow instruction, fig. 22 is a schematic diagram of a target recommendation list in target applications according to an exemplary embodiment of 46 , the user may trigger an allow button in the diagram, the user may implement successful attention list in the target application list through a key key button in fig. 22, fig. 23 shows a successful attention list in the target recommendation interface according to an exemplary embodiment of 36 , and fig. 23 shows a successful attention list in the target recommendation interface of a successful attention list of a target recommendation method according to an exemplary embodiment of .

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

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

The number of the second attention options may be multiple, second attention options correspond to users, and the second target user may trigger any second attention options, determine, in the target application, a user corresponding to the second attention option as a third target user, and further realize attention to the user corresponding to the second attention option.

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 display the user system in the recommendation card as 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 a database by the terminal device may be reduced, and the maintenance of a separate attention count table may also be avoided.

The recommendation process based on the history 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 of shown in an exemplary embodiment according to , see fig. 25, the specific data request and interface flow includes that a client of a target application starts a target database to issue whether a recommended personal attention list function is enabled, the maximum number of batch recommendations and the like, a server returns the configuration of an information consistency checker, the configuration of the information consistency checker can determine the format of the identity information of the target recommendation list, a system Resource Locator (Uniform Resource Locator, URL) and the like or other requirements, the client obtains the history recommendation list of the personal attention list and returns the history recommendation list to the server, the server obtains the user information of the history recommendation list from the database, a recommendation list is generated by the recommendation list such as a user head image, a nickname, a representative recommendation list is generated by the client, the client creates the recommendation list from the personal attention list and sends the created recommendation list to a recommendation list, the recommendation list is stored in a recommendation list, the recommendation list is created by the recommendation server, the recommendation list, the recommendation process of the recommendation list is performed by a recommendation operation method of creating a recommendation card recommendation list, the recommendation operation of a recommendation list, the recommendation server, the recommendation list is performed by the recommendation server, the recommendation method of the recommendation list, the recommendation server, the recommendation list is performed by the recommendation server, the recommendation list created by the method of the recommendation server, the recommendation list created by the recommendation server, the recommendation list created by the method of the recommendation server, the recommendation list created by the method of the recommendation list, the client, the recommendation list, the recommendation server, the recommendation list created by the recommendation server, the method of the recommendation list created by the method of the client, the recommendation list created by the client, the.

It should be noted that, after receiving the successful attention amount, the terminal device of the logged-in user may further store the recommendation list as historical recommendation lists in the user identity information database, where the user identity information database and the target database may be maintained by the same servers, 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 target recommendation list already sent 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, fig. 26 is an interface diagram for confirming the deletion of the historical recommendation list according to shown in an exemplary embodiment, after confirming the deletion, the interface diagram for obtaining the historical recommendation list after deleting 64 recommended lists shown in fig. 27, fig. 27 is an interface diagram for the historical recommendation list after deleting operation according to 3963 shown in an exemplary embodiment of the terminal device of the second target user, and fig. 27 is an interface diagram for showing the recommendation list after the deletion of the deleted recommendation list after the deletion is opened again, and an exemplary recommendation list protection process of the user may also be implemented according to an example of an address protection card for protecting a recommendation list shown in 36 8 for the terminal device of the above-mentioned embodiment.

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, users can conveniently select the plurality of users to pay attention to the target recommendation list for times, batch attention to the recommendation users can be achieved, operation cost is reduced, user experience is improved, and the number of friends of the users and the user retention rate are improved.

All the above-mentioned optional technical solutions can be adopted to form any combination of the optional embodiments of the present disclosure, and are not described in detail in herein.

Fig. 29 is a block diagram illustrating an apparatus for recommending data of according to an exemplary embodiment of , referring to fig. 29, the apparatus includes an acquisition unit 2901, a platform determining unit 2902, and a transmitting unit 2903.

The obtaining unit 2901 is configured to perform obtaining, from th target users of the login users, a target recommendation list for showing recommendation information of th target users in the target application based on th target users corresponding to the selection instruction;

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 possible implementations, the apparatus further includes:

the presentation unit is configured to perform presenting a plurality of target users of the login user when receiving an th list presentation instruction;

the obtaining unit 2901 is further configured to execute obtaining the selected multiple th 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 th target users.

In possible implementations, the presenting unit is further configured to perform presenting at least historical recommendation lists of the logged-in user when receiving a second list presenting instruction;

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

In possible implementations, 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 possible implementations, 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 multiple users from multiple -th target users having a preset relationship with the login user to generate a recommendation list, or of the historical recommendation lists are directly used as recommendation lists, or of the historical recommendation lists are modified to generate new recommendation lists, the recommendation lists are stored in the database, a target recommendation platform is determined according to a recommendation instruction, and a recommendation card including the list address of the target recommendation list is sent to a second target user.

Fig. 30 is a block diagram illustrating an apparatus for recommending data of types according to an exemplary embodiment of , 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 recommendation cards of login users, where the recommendation cards include list addresses of target recommendation lists used for displaying recommendation information of a plurality of th 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 possible implementations, 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, wherein the second target user has a second preset relationship with the login user, and the third target user is a -th target user corresponding to the attention instruction in the -th target users.

In possible implementations, the apparatus further includes:

the trigger unit is configured to execute a attention instruction of the target recommendation list when detecting a trigger operation on the attention option;

the user determination unit is configured to execute determining th target users as third target users in the target application;

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 through an key and can select multiple users for paying attention for times, 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 be improved.

It should be noted that, when the apparatus for recommending data provided in the foregoing embodiment implements the recommended data, only the division of the functional modules is illustrated, 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.

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 variety of terminal devices 3100 shown in accordance with an exemplary embodiment of for example, terminal device 3100 may be a mobile phone, a computer, a digital player terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 31, the terminal device 3100 may include one or more components including 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 may include or more processors 3111 to execute instructions to perform all or part of the steps of the methods described above.

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

The multimedia component 3140 includes a screen between the terminal device 3100 and a user that provides output interfaces, in 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 input signals from a user.A touch panel includes or more touch sensors to sense gestures on the touch, slide, and touch panel.

For example, the audio component 3150 includes Microphones (MICs) configured to receive external audio signals when the 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 be further stored in the memory 3120 or transmitted via the communication component 3180. in embodiments, the audio component 3150 also includes speakers 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 may include or more sensors for providing various aspects of state evaluation for terminal device 3100. for example, sensor assembly 3170 may detect the open/closed state of terminal device 3100, the relative positioning of the components, such as the display and keypad of terminal device 3100, sensor assembly 3170 may also detect changes in the position of terminal device 3100 or terminal device 3100 components, the presence or absence of user contact with terminal device 3100, the orientation or acceleration/deceleration of terminal device 3100, and temperature changes of terminal device 3100. sensor assembly 3170 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact.

The communication component 3180 is configured to facilitate wired or wireless communication between the terminal device 3100 and other devices the terminal device 3100 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G, or 5G), or a combination thereof the communication component 3180 can receive broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel in exemplary embodiments the communication component 1080 also includes a Near Field Communication (NFC) module to facilitate short range communication in exemplary embodiments.

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

In an exemplary embodiment, there is also provided storage media including instructions, such as a memory 3120 including instructions executable by the processor 3111 of the terminal device 3100 to perform the user methods described above.

FIG. 32 is a block diagram of the servers 3200 shown according to an exemplary embodiment of , referring to FIG. 32, the servers 3200 include a processing component 3201 that further includes or more processors and memory resources, represented by memory 3202, for storing instructions, e.g., applications, that are executable by the processing component 3201. the applications stored in memory 3202 may include or or more modules, each corresponding to sets of instructions.

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

This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the -like 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 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 for recommending data, the method comprising:

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

2. The method for recommending data according to claim 1, wherein said obtaining a target recommendation list based on a plurality of target users corresponding to a selection instruction from target users of the logged-in users comprises:

acquiring th target users which are selected according to the selection instruction;

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

3. The method for recommending data according to claim 1, wherein said obtaining a target recommendation list based on a plurality of target users corresponding to a selection instruction from target users of the logged-in users comprises:

4. The method for recommending data according to claim 1, wherein said obtaining a target recommendation list based on a plurality of target users corresponding to a selection instruction from target users of the logged-in users comprises:

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

5, a method for recommending data, the method comprising:

acquiring recommendation cards of login users, wherein the recommendation cards comprise list addresses of target recommendation lists, and the target recommendation lists are used for displaying recommendation information of a plurality of th target users in target applications;

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

6. The method for recommending data according to claim 5, wherein attention options of said plurality of th target users are included in said target recommendation list, said attention option is used for paying attention to said plurality of th target users when triggered, said method further comprises triggering attention instructions to said target recommendation list in said recommendation card after accessing list addresses of said target recommendation list in said recommendation card according to a viewing instruction and displaying said target recommendation list, when a triggering operation to said th attention option is detected, determining said plurality of th target users as third target users in said target application, establishing attention relationship between second target users and said third target users, said second target users being users having a second preset relationship with said login user, said third target users being th target users corresponding to attention instructions among said plurality of target users;

or the like, or, alternatively,

the method comprises the steps of accessing a list address of a target recommendation list in a recommendation card according to a viewing instruction, and displaying the target recommendation list, wherein the target recommendation list comprises a second attention option of th target users in the multiple users, and the second attention option is used for paying attention to th target users corresponding to the second attention option when being triggered, when the triggering operation of th second attention option is detected, a second attention instruction of the target recommendation list is triggered, in the target application, th target users corresponding to the second attention option are determined to be third target users, the attention relationship between the second target users and the third target users is established, the second target users are users having a second preset relationship with the login users, and the third target users are th target users corresponding to the attention instruction in the multiple th target users.

An apparatus for recommending data of the kind 7, , said apparatus comprising:

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

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

An apparatus for recommending data of the type 8, , said apparatus comprising:

the address acquisition unit is configured to execute acquisition of recommendation cards of login users, wherein the recommendation cards comprise list addresses of target recommendation lists, and the target recommendation lists are used for displaying recommendation information of a plurality of th target users in a target application;

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

The terminal equipment of kinds, characterized by comprising:

or more processors;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement a method of recommending data as claimed in any of claims 1-6, .

Storage medium , wherein instructions in the storage medium, when executed by the or more processors of the terminal device, enable the terminal device to perform the method of recommending data according to of any of claims 1-6.