CN111866541B - Live broadcast recommendation method and device, server and storage medium - Google Patents
Live broadcast recommendation method and device, server and storage medium Download PDFInfo
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- CN111866541B CN111866541B CN202010784466.0A CN202010784466A CN111866541B CN 111866541 B CN111866541 B CN 111866541B CN 202010784466 A CN202010784466 A CN 202010784466A CN 111866541 B CN111866541 B CN 111866541B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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Abstract
The application discloses a live broadcast recommendation method, a live broadcast recommendation device, a server and a storage medium, and belongs to the technical field of networks. The method comprises the following steps: acquiring a historical resource transfer record of a first user account, wherein the historical resource transfer record comprises a record of transferring virtual resources from the first user account to a live broadcast account; responding to the fact that the historical resource transfer records meet live broadcasting recommendation conditions, and sending a relation chain acquisition request to the music platform; receiving a social relation chain sent by a music platform; and sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises the target live broadcast account, the target user account belongs to a second user account, and the target live broadcast account is determined according to the history resource transfer record. The method provided by the application can enable the user to not enter the live broadcast room in a single live broadcast watching mode any more, realize live broadcast information recommendation based on the social relation chain, realize information interaction among different platforms, and further enrich the live broadcast watching method.
Description
Technical Field
The embodiment of the application relates to the technical field of networks, in particular to a live broadcast recommendation method, a live broadcast recommendation device, a server and a storage medium.
Background
With the development of network technology, the application of the live broadcast platform is more and more extensive. Besides a pure live broadcast service platform, under application platforms such as music playing and video playing, a main broadcast can also set up a live broadcast room and carry out network live broadcast. In the process of watching by the user, in order to express the support and the love to the main broadcast, the consumption behaviors such as scoring, appreciation and the like can be carried out on the works of the main broadcast.
However, in the related art, the user needs to enter the live page to select and view the live room, and cannot select the live service on other platform pages.
Disclosure of Invention
The embodiment of the application provides a live broadcast recommendation method, a live broadcast recommendation device, a server and a storage medium, and the technical scheme is as follows:
in one aspect, a live broadcast recommendation method is provided, where the method is used for a live broadcast platform, and the method includes:
acquiring a historical resource transfer record of a first user account, wherein the historical resource transfer record comprises a record of transferring virtual resources from the first user account to a live broadcast account;
responding to the fact that the historical resource transfer records meet live broadcast recommendation conditions, and sending a relation chain acquisition request to at least one relation platform, wherein the relation chain acquisition request is used for requesting to acquire a social relation chain corresponding to the first user account, the social relation chain comprises a second user account which has a preset social relation with the first user account on the at least one relation platform, and the same user corresponds to the same user account on the at least one relation platform and the live broadcast platform;
Receiving the social relation chain sent by the at least one association platform;
and sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises a target live broadcast account, the target user account belongs to the second user account, and the target live broadcast account is determined according to the historical resource transfer record.
In another aspect, a live broadcast recommendation apparatus is provided, where the apparatus is used in a live broadcast platform, and the apparatus includes:
the system comprises a record acquisition module, a resource management module and a resource management module, wherein the record acquisition module is used for acquiring a historical resource transfer record of a first user account, and the historical resource transfer record comprises a record of virtual resource transfer from the first user account to a live broadcast account;
a request sending module, configured to send, in response to that the historical resource transfer record meets a live broadcast recommendation condition, a relationship chain acquisition request to at least one association platform, where the relationship chain acquisition request is used to request to acquire a social relationship chain corresponding to the first user account, where the social relationship chain includes a second user account having a predetermined social relationship with the first user account on the at least one association platform, and the same user corresponds to the same user account on the at least one association platform and the live broadcast platform;
The information receiving module is used for receiving the social relation chain sent by the at least one association platform;
and the information sending module is used for sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises a target live broadcast account, the target user account belongs to the second user account, and the target live broadcast account is determined according to the historical resource transfer record.
In another aspect, a server is provided, the server comprising a processor and a memory; the memory stores at least one instruction for execution by the processor to implement a live recommendation method as described in the above aspect.
In another aspect, a computer-readable storage medium is provided that stores at least one instruction for execution by a processor to implement a live recommendation method as described in the above aspect.
In another aspect, a computer program product is provided, where at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the live broadcast recommendation method according to the above aspect.
In the embodiment of the application, under a live broadcast scene, a live broadcast recommendation method between different platforms in the same application program is realized, for example, interaction between a live broadcast platform and a music platform is realized, a server corresponding to the live broadcast platform determines a target live broadcast account according to a historical resource transfer record of a first user account, then a social relationship chain corresponding to the first user account is applied to a server corresponding to at least one associated platform to obtain the social relationship chain, further, the live broadcast platform determines a target user account from the social relationship chain and sends live broadcast recommendation information about the target live broadcast account to the target user account; compared with the anchor watching method in the related technology, the user does not enter the live broadcasting room in a single live broadcasting watching mode any more, live broadcasting information recommendation based on the social relation chain is realized, information interaction among different platforms can be realized, and the live broadcasting watching method is further enriched.
Drawings
Fig. 1 is a schematic diagram illustrating an implementation environment of a live recommendation method according to an exemplary embodiment of the present application;
FIG. 2 illustrates a flow chart of a live recommendation method provided by an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram illustrating an interface of a second user account having a predetermined social relationship with a first user account on a music platform according to an exemplary embodiment of the present application;
FIG. 4 shows a flow diagram of a live recommendation method provided by another example embodiment of the present application;
FIG. 5 is a flow chart illustrating a live recommendation method provided by another exemplary embodiment of the present application;
FIG. 6 is a schematic interface diagram illustrating a live recommendation method according to an exemplary embodiment of the present application;
FIG. 7 shows a flow diagram of a live recommendation method provided by another example embodiment of the present application;
FIG. 8 is a schematic diagram illustrating an interface for viewing in a live broadcast room according to an exemplary embodiment of the present application;
fig. 9 shows a block diagram of a live recommendation device according to an exemplary embodiment of the present application;
fig. 10 is a block diagram illustrating a server according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Fig. 1 is a schematic diagram of an implementation environment of a live recommendation method according to an exemplary embodiment of the present application. Referring to fig. 1, the implementation environment may include: a first terminal 100, a backend server 200 and a second terminal 300.
In this embodiment, the first terminal 100 logs in a first user account, the second terminal 300 logs in a second user account, and the first user account and the second user account have a preset social relationship on at least one association platform. The first terminal 100 and the second terminal 300 are installed and run with the same application program, and the application program has both music service and live broadcast service, and correspondingly, at least one associated platform corresponds to the associated platform server 220, the live broadcast platform of the live broadcast service corresponds to the live broadcast platform server 210, and further, the first user account and the second user account are accounts having a predetermined social relationship on the associated platform.
Optionally, the background server 200 may be an independent server, or may be integrated into any one of a server cluster, a virtual cloud storage, or a cloud computing center, for example, the background server 200 is a server cluster, and the background server 200 may include: a live platform server 210 and an associated platform server 220. The first terminal 100 and the live platform server 210 may communicate with each other through a wired connection or a wireless connection, and the live platform server 210 and the associated platform server 220 may also communicate with each other through a wired connection or a wireless connection. Each server may be any one of a server, a server cluster composed of a plurality of servers, a virtual cloud storage, or a cloud computing center.
In addition, when the backend server 200 is an independent server, the backend server 200 has the backend service function of each server.
In an example, as shown in fig. 1, a live broadcast platform server 210 receives a historical resource transfer record about a first user account sent by a first terminal 100, and determines whether the historical resource transfer record meets a live broadcast recommendation condition, if yes, sends a relationship chain acquisition request to an associated platform, where the relationship chain acquisition request is used to request to acquire a social relationship chain corresponding to the first user account; further, the live broadcast platform server 210 receives the social relationship chain sent by the association platform server 220, and sends live broadcast recommendation information to a target user account on the social relationship chain, where the live broadcast recommendation information includes the target live broadcast account, the target user account belongs to a second user account, and the target live broadcast account is determined according to the history resource transfer record.
It should be noted that the above servers may be independent servers, or may be integrated into any one of a server cluster, a virtual cloud storage, or a cloud computing center, and in any one of the integrated server cluster, virtual cloud storage, or cloud computing center, the content of the embodiment of the present application may be supplemented according to the content of the embodiment of the present application, which is not limited in the embodiment of the present application.
In addition, in the embodiment of the present application, the associated platform is taken as a music platform to describe each embodiment, that is, the associated platform server 220 may be the music platform server 220, but this example does not limit the type of the associated platform.
Referring to fig. 2, a flowchart of a live recommendation method according to an exemplary embodiment of the present application is shown. The method is suitable for the live broadcast platform shown in fig. 1, and comprises the following steps:
Optionally, the history resource transfer record includes a record of transferring the virtual resource from the first user account to the live account.
The live account of the virtual resource transferred by the first user account is a live account of a host that the first user account focuses on, or a live account that does not focus on the host but has a virtual resource transferred.
Optionally, the behavior corresponding to the transfer of the virtual resource includes at least one of giving a virtual gift, giving a virtual item, and giving a virtual currency. The virtual gifts, the virtual props and the virtual currency are all virtual articles, the virtual articles refer to virtual identifications used for indicating the wealth values in a virtual scene, such as virtual identifications used for indicating the wealth values, such as flowers, balloons and rockets, displayed on a terminal interface in a live broadcast scene, and optionally, different virtual identifications refer to different wealth values, such as flowers, 10 wealth values, 20 wealth values, such as balloons and 1000 wealth values, and the like.
Optionally, the value of the wealth value can be directly equivalent to the currency of circulation, and can also have a certain exchange ratio with the currency of circulation. For example, in the case of 1: 10, the user plays a flower, namely a prize 1 yuan, a balloon, and a rocket, namely a prize 100 yuan.
The history resource transfer record comprises a record of transferring virtual resources from the first user account to the live broadcast account, wherein the record of transferring the virtual resources not only comprises the number of the virtual resources corresponding to the virtual article, but also comprises parameters such as first user account identification, live broadcast room identification, live broadcast account identification and the like.
According to the live broadcast recommendation method in the embodiment of the application, the live broadcast account favored by the first user account and the live broadcast account with high appreciation frequency can be determined according to the historical resource transfer record of the first user account, based on the diversity of the live broadcast platform, the first user account can log in a music platform in music software, then the provided live broadcast platform can also be logged in the music software, and the same user corresponds to the same user account in the music platform and the live broadcast platform. Furthermore, according to the live broadcast account information determined by the history resource transfer record of the first user account on the live broadcast platform, live broadcast account recommendation or related song recommendation can be performed on friends with social relations between the music platform and the first user account.
Therefore, in a possible implementation manner, in response to that the historical resource transfer record meets the live broadcast recommendation condition, the live broadcast platform server sends a relation chain acquisition request to the music platform, wherein the relation chain acquisition request is used for requesting to acquire a social relation chain corresponding to the first user account.
Optionally, the social relationship chain includes a second user account having a predetermined social relationship with the first user account on the music platform, and the same user account corresponds to the same user account on the music platform and the live broadcast platform.
Optionally, information is transmitted between the live broadcast platform server and the music platform server in a remote communication manner, and in response to the music platform server receiving a relationship chain acquisition request sent by the live broadcast platform server, the music platform server corresponding to the music platform sends a social relationship chain to the live broadcast platform server, and further, the live broadcast platform server receives the social relationship chain sent by the music platform.
And 204, sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises the target live broadcast account, the target user account belongs to a second user account, and the target live broadcast account is determined according to the history resource transfer record.
Further, the live broadcast platform server determines a target live broadcast account according to the virtual transfer record of the first user account, and meanwhile determines the target user account according to the social relationship chain of the first user account.
The social relationship chain includes second user accounts having a predetermined social relationship with the first user account on the music platform, and the second user accounts refer to all user accounts having a predetermined social relationship, such as having a friend relationship, optionally, the target user account may be one or more user accounts of all the second user accounts, or all friends corresponding to the first user account, that is, all the second user accounts.
Illustratively, as shown in fig. 3, an interface diagram of a second user account having a predetermined social relationship with a first user account on a music platform is shown. In fig. 3, a music search box 301 is displayed, and the interface displays a buddy list of a first user account 301 (account number Bjyxxx), where the buddy list displays that the first user account 301 has 3 buddies (i.e. a second user account) in a music platform, which are a second user account 303 (account number szddd), a second user account 304 (account number Aaa885), and a second user account 305 (account number Bbb105), respectively.
Further, the terminal corresponding to the target user account receives the pushed live broadcast recommendation information, and carries out live broadcast viewing according to the live broadcast recommendation information.
To sum up, in the embodiment of the present application, in a live broadcast scenario, a live broadcast recommendation method between different platforms in the same application program is implemented, for example, interaction between a live broadcast platform and a music platform is implemented, a server corresponding to the live broadcast platform determines a target live broadcast account according to a history resource transfer record of a first user account, then applies to a server corresponding to at least one associated platform to obtain a social relationship chain corresponding to the first user account, further, the live broadcast platform determines a target user account from the social relationship chain, and sends live broadcast recommendation information about the target live broadcast account to the target user account; compared with the anchor watching method in the related technology, the user does not enter the live broadcasting room in a single live broadcasting watching mode any more, live broadcasting information recommendation based on the social relation chain is realized, information interaction among different platforms can be realized, and the live broadcasting watching method is further enriched.
Referring to fig. 4, a flowchart of a live recommendation method according to another exemplary embodiment of the present application is shown. The method is suitable for the live broadcast platform shown in fig. 1, and comprises the following steps:
Please refer to step 201, and the embodiments of the present application are not described herein again.
Optionally, for each live broadcast account enjoyed by the first user account, a resource transfer sub-record of each live broadcast account is stored in the live broadcast platform server, and each resource transfer sub-record constitutes historical resource transfer of the first user account.
Optionally, the resource transfer sub-record includes a resource transfer amount and a resource transfer time.
And after the resource transfer sub-record is acquired, judging the live broadcast account meeting the live broadcast recommendation condition according to the resource transfer sub-record. If the resource transfer sub-record corresponding to at least one live broadcast account number meets the live broadcast recommendation condition, sending a relation chain acquisition request to the music platform; and if the resource transfer sub-record corresponding to the live broadcast account number does not meet the live broadcast recommendation condition, not sending a relation chain acquisition request to the music platform, and continuing to execute the steps 401 to 403 until at least one live broadcast account number meets the live broadcast recommendation condition.
In one possible implementation, step 403 may be implemented by at least one of the following.
Determining the latest resource transfer amount of the latest resource transfer according to the resource transfer time; and responding to the recent resource transfer amount larger than a first threshold value, and determining that the resource transfer sub-record meets the live broadcast recommendation condition.
Optionally, for the first content, the first content refers to that when the score of the first user account on the live broadcast account reaches a first threshold, it is determined that the resource transfer sub-record of the user account meets the live broadcast recommendation condition.
Determining the average resource transfer amount of the latest n times of resource transfer according to the resource transfer time; and responding to the fact that the average resource transfer amount is larger than a second threshold value, and determining that the resource transfer sub-record meets the live broadcast recommendation condition.
Optionally, for the second content, the second content is obtained by judging that the resource transfer sub-record of the user account meets the live broadcast recommendation condition when the average resource transfer amount of the latest n times of resource transfer reaches a second threshold.
Determining the resource transfer times within a preset time length according to the resource transfer time; and responding to the resource transfer times larger than a third threshold value, and determining that the resource transfer sub-record meets the live broadcast recommendation condition.
Optionally, for the third content, it is determined that the resource transfer sub-record of the user account meets the live broadcast recommendation condition when the number of resource transfers within the predetermined time reaches a third threshold.
Further, after the live broadcast accounts meeting the live broadcast recommendation conditions are judged according to the resource transfer sub-records, target live broadcast accounts are determined from the live broadcast accounts meeting the live broadcast recommendation conditions.
Alternatively, step 403 and step 404 may be performed synchronously or sequentially.
Please refer to step 203, which is not described herein again in this embodiment.
Step 406, in response to receiving the live viewing request of the target user account, sending live recommendation information to the target user account.
Optionally, the scenes of sending live recommendation information to the target user account may be divided into the following two categories: sending live broadcast recommendation information when a target user account actively triggers a live broadcast viewing request; and when the target user account plays music, sending live recommendation information related to the currently played song.
For the first type of scenario described above, step 405 is followed by step 406. Namely, the target user account actively triggers a live broadcast viewing request, and in response to receiving the live broadcast viewing request of the target user account, live broadcast recommendation information is sent to the target user account.
For the second type of scenario described above, step 405 is followed by steps 407 and 408 as follows.
Step 407, in response to receiving a music playing message sent by the music platform, acquiring a current singing song of the live broadcast room corresponding to the target live broadcast account, where the music playing message includes the current playing song of the target user account.
For the second type of scenes, when the target user plays music on the music platform, the server corresponding to the music platform sends a music playing message to the live broadcast platform server, wherein the music playing message contains the currently played song of the target user account, and meanwhile, the live broadcast platform server acquires the currently sung song of the live broadcast room corresponding to the target live broadcast account.
And step 408, in response to that the similarity between the current singing song and the current playing song is greater than the similarity threshold, sending live broadcast recommendation information to the target user account.
Further, if the similarity between the current singing song and the current playing song is larger than the similarity threshold, live broadcast recommendation information is sent to the target user account, and personalized live broadcast song recommendation is provided for the target user account.
Optionally, the live broadcast recommendation information includes a song identifier of the currently sung song and a target live broadcast account.
In the embodiment of the application, three methods are provided for judging the target live broadcast account, and each method can be progressively combined and implemented to determine the target live broadcast account which is more consistent with recommendation; furthermore, two technical schemes are provided for the opportunity of providing live broadcast recommendation information for the target user account, namely, the target user account actively triggers the live broadcast watching condition and recommends related live broadcast recommendation information when playing music, so that the live broadcast recommendation information of different platforms can be intelligently pushed.
Referring to fig. 5, a flowchart of a live recommendation method according to another exemplary embodiment of the present application is shown. The method is suitable for the live broadcast platform shown in fig. 1, and comprises the following steps:
Please refer to step 401, which is not described herein again in this embodiment.
Please refer to step 402, which is not described herein again in this embodiment.
Please refer to step 403, which is not described herein again in this embodiment.
Please refer to step 404, which is not described herein again in this embodiment.
And step 505, receiving the social relation chain sent by the music platform.
Please refer to step 405, which is not described herein again in this embodiment.
In order to determine a target user account which is more in line with the watching habit and preference of the first user account from the second user account, the live broadcast platform server acquires a live broadcast watching portrait corresponding to the first user account and the second user account, wherein the live broadcast watching portrait is used for representing the live broadcast watching habit and preference, such as a live broadcast type and a live broadcast song type which are preferred during live broadcast watching.
And 507, determining a target user account from the second user account according to the portrait similarity between the first user account and the second user account.
Further, the live broadcast platform server determines a target user account from the second user account according to the portrait similarity between the first user account and the second user account, for example, based on the anchor type, obtains a portrait of the second user account about the anchor type and a portrait of the first user account about the anchor type, determines a portrait with the highest similarity from the portraits of the second user account, and determines the second user account corresponding to the portrait as the target user account.
Step 508, in response to receiving the live viewing request of the target user account, sending live recommendation information to the target user account.
Please refer to step 406, which is not described herein again in this embodiment.
In step 509, in response to receiving a music playing message sent by the music platform, a current singing song in the live broadcast room corresponding to the target live broadcast account is obtained, where the music playing message includes the current playing song of the target user account.
Please refer to step 407, which is not described herein again in this embodiment.
Step 510, in response to that the similarity between the current singing song and the current playing song is greater than the similarity threshold, sending live broadcast recommendation information to the target user account.
For part of this step, please refer to step 408, and details of the embodiment of the present application are not repeated herein.
In an example, as shown in fig. 6, the target user account is listening to music on the music platform, at this time, the live broadcast platform server sends live broadcast recommendation information 601 to the music playing interface of the target user account to notify the target user account that a main broadcast is singing a currently listened song on the live broadcast platform, so as to implement a cross-platform intelligent live broadcast recommendation.
In the embodiment of the application, a method for determining a target user account is provided, namely a second user account with the highest similarity is determined as the target user account according to the images of the first user account and the second user account, so that accurate push of live broadcast recommendation information is achieved, and push of harassment information is avoided for social friends of the first user account.
Referring to fig. 7, a flowchart of a live recommendation method according to another exemplary embodiment of the present application is shown. The method is suitable for the live broadcast platform shown in fig. 1, and on the basis of the embodiment, the method comprises the following steps:
In a possible implementation manner, a user corresponding to a first user account is watched in a live broadcast terminal in a live broadcast mode, and a main broadcast in a live broadcast room sings a song; further, if the first user account wants to support the anchor, the anchor can be rewarded, for example, the anchor is paid for scoring, and correspondingly, the live broadcast platform server receives a scoring instruction sent by the first user account, and the scoring instruction is used for indicating that a singing song in a live broadcast room corresponding to the current live broadcast account is scored.
And step 702, determining the resource transfer amount of the virtual resource according to the score contained in the score command, wherein the resource transfer amount and the score have positive correlation.
Optionally, the scoring instruction corresponds to a payment scoring mode, so that the live broadcast platform server may determine a resource transfer amount of the virtual resource according to the score included in the scoring instruction, where the resource transfer amount and the score have a positive correlation, for example, score 1 represents 1 yuan of the paid rmb, and the 1 yuan corresponds to virtual currency 10.
Illustratively, as shown in fig. 8, in a live broadcast interface, a user triggers and clicks a scoring control 801, and if the user selects a score of "3", a scoring instruction is generated, a live broadcast platform server receives the scoring instruction sent by a first terminal, and further, a server corresponding to the live broadcast platform determines a resource transfer amount of a virtual resource according to the score included in the scoring instruction.
And 703, performing resource transfer between the first user account and the current live broadcast account according to the resource transfer amount, and updating a historical resource transfer record.
Correspondingly, the live broadcast platform server deducts the corresponding cost of the first user account according to the score of the scoring instruction, and pushes the notification to the anchor broadcast of the live broadcast room and other watched user accounts.
In the embodiment of the application, a live broadcast scoring mode is disclosed, and a live broadcast platform server determines the resource transfer quantity of virtual resources according to a scoring instruction of a first user account, and updates a historical resource transfer record to realize real-time information updating.
Referring to fig. 9, a block diagram of a live recommendation apparatus provided in an exemplary embodiment of the present application is shown, where the apparatus is used in a live platform, and the apparatus includes:
A record obtaining module 901, configured to obtain a historical resource transfer record of a first user account, where the historical resource transfer record includes a record of transferring virtual resources from the first user account to a live account;
a request sending module 902, configured to send, in response to that the historical resource transfer record meets a live broadcast recommendation condition, a relationship chain acquisition request to at least one association platform, where the relationship chain acquisition request is used to request to acquire a social relationship chain corresponding to the first user account, the social relationship chain includes a second user account having a predetermined social relationship with the first user account on the at least one association platform, and a same user corresponds to a same user account on the at least one association platform and the live broadcast platform;
an information receiving module 903, configured to receive the social relation chain sent by the at least one association platform;
an information sending module 904, configured to send live broadcast recommendation information to a target user account on the social relationship chain, where the live broadcast recommendation information includes a target live broadcast account, the target user account belongs to the second user account, and the target live broadcast account is determined according to the historical resource transfer record.
Optionally, the request sending module 902 includes:
a first request sending unit, configured to obtain a resource transfer sub-record corresponding to each live broadcast account from the historical resource transfer record, where the resource transfer sub-record includes a resource transfer amount and a resource transfer time;
and a second request sending unit, configured to send the relationship chain acquisition request to the at least one association platform in response to that the resource transfer sub-record corresponding to the at least one live broadcast account satisfies the live broadcast recommendation condition.
Optionally, the second request sending unit is further configured to determine a latest resource transfer amount of the latest resource transfer according to the resource transfer time; in response to the recent resource transfer amount being greater than a first threshold, determining that the resource transfer sub-record satisfies the live broadcast recommendation condition;
and/or the presence of a gas in the atmosphere,
determining the average resource transfer amount of the latest n times of resource transfer according to the resource transfer time; in response to the average resource transfer amount being greater than a second threshold, determining that the resource transfer sub-record meets the live broadcast recommendation condition;
and/or the presence of a gas in the atmosphere,
determining the resource transfer times within a preset time length according to the resource transfer time; and determining that the resource transfer sub-record meets the live broadcast recommendation condition in response to the resource transfer times being larger than a third threshold value.
Optionally, the apparatus further comprises:
and the first account determining module is used for determining the target live broadcast account from the live broadcast accounts meeting the live broadcast recommendation condition in response to the fact that the resource transfer sub-record corresponding to at least one live broadcast account meets the live broadcast recommendation condition.
Optionally, the apparatus further comprises:
the scoring instruction receiving module is used for receiving a scoring instruction sent by the first user account, and the scoring instruction is used for indicating that a singing song in a live broadcast room corresponding to the current live broadcast account is scored;
the transfer amount determining module is used for determining the resource transfer amount of the virtual resource according to the score contained in the score instruction, wherein the resource transfer amount and the score are in positive correlation;
and the resource transfer module is used for transferring resources between the first user account and the current live broadcast account according to the resource transfer amount and updating the historical resource transfer record.
Optionally, the apparatus further comprises:
the portrait acquisition module is used for acquiring a live watching portrait corresponding to the first user account and the second user account, and the live watching portrait is used for representing live watching habits and preferences;
And the second account number determining module is used for determining the target user account number from the second user account number according to the portrait similarity between the first user account number and the second user account number.
Optionally, the information sending module 904 further includes:
and the information sending unit is used for responding to the received live broadcast viewing request of the target user account and sending the live broadcast recommendation information to the target user account.
Optionally, in response to that the at least one associated platform is a music platform, the information sending module 904 further includes:
a first information sending unit, configured to obtain, in response to receiving a music playing message sent by the music platform, a current singing song in a live broadcast room corresponding to the target live broadcast account, where the music playing message includes the current playing song of the target user account;
and a second information sending unit, configured to send live broadcast recommendation information to the target user account in response to that the similarity between the current singing song and the current playing song is greater than a similarity threshold, where the live broadcast recommendation information includes a song identifier of the current singing song and the target live broadcast account.
In the embodiment of the application, under a live broadcast scene, a live broadcast recommendation method between different platforms in the same application program is realized, for example, interaction between a live broadcast platform and a music platform is realized, a server corresponding to the live broadcast platform determines a target live broadcast account according to a historical resource transfer record of a first user account, then a social relationship chain corresponding to the first user account is applied to a server corresponding to at least one associated platform to obtain the social relationship chain, further, the live broadcast platform determines a target user account from the social relationship chain and sends live broadcast recommendation information about the target live broadcast account to the target user account; compared with the anchor watching method in the related technology, the user does not enter the live broadcasting room in a single live broadcasting watching mode any more, live broadcasting information recommendation based on the social relation chain is realized, information interaction among different platforms can be realized, and the live broadcasting watching method is further enriched.
Referring to fig. 10, a schematic structural diagram of a server 1000 according to an embodiment of the present application is shown. The server 1000 may be used to implement the live recommendation method provided in the above embodiments. The server 1000 may be the server 200 described in the embodiment of fig. 1. Specifically, the method comprises the following steps:
The server 1000 includes a Central Processing Unit (CPU)1001, a system memory 1004 including a Random Access Memory (RAM)1002 and a Read Only Memory (ROM)1003, and a system bus 1005 connecting the system memory 1004 and the central processing unit 1001. The server 1000 also includes a basic input/output system (I/O system) 1006, which facilitates the transfer of information between devices within the computer, and a mass storage device 1007, which stores an operating system 1013, application programs 1014, and other program modules 1015.
The basic input/output system 1006 includes a display 1008 for displaying information and an input device 1009 such as a mouse, keyboard, etc. for a user to input information. Wherein the display 1008 and input device 1009 are connected to the central processing unit 1001 through an input-output controller 1010 connected to the system bus 1005. The basic input/output system 1006 may also include an input/output controller 1010 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, the input-output controller 1010 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 1007 is connected to the central processing unit 1001 through a mass storage controller (not shown) connected to the system bus 1005. The mass storage device 1007 and its associated computer-readable media provide non-volatile storage for the server 1000. That is, the mass storage device 1007 may include a computer readable medium (not shown) such as a hard disk or CD-ROM drive.
Without loss of generality, the computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state storage technology, and also includes CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 1004 and mass storage device 1007 described above may be collectively referred to as memory.
The server 1000 may also operate as a remote computer connected to a network through a network, such as the internet, according to various embodiments of the present application. That is, the server 1000 may be connected to the network 1012 through a network interface unit 1011 connected to the system bus 1005, or the network interface unit 1011 may be used to connect to other types of networks and remote computer systems (not shown).
The memory also includes one or more programs stored in the memory and configured to be executed by one or more processors. The one or more programs include instructions for implementing the server-side live recommendation method.
The memory has stored therein at least one instruction configured to be executed by one or more processors to implement the functions of the various steps of the live recommendation method described above.
The embodiment of the present application further provides a computer-readable storage medium, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the live broadcast recommendation method provided in the above embodiments.
Optionally, the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), Solid State Drive (SSD), or optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A live broadcast recommendation method is used for a live broadcast platform, and comprises the following steps:
Receiving a scoring instruction sent by a first user account, wherein the scoring instruction is used for indicating that a singing song in a live broadcast room corresponding to a current live broadcast account is scored;
determining the resource transfer amount of the virtual resource according to the score included in the score instruction, wherein the resource transfer amount and the score are in positive correlation;
performing resource transfer between the first user account and the current live broadcast account according to the resource transfer amount, and updating a historical resource transfer record, wherein the historical resource transfer record comprises a record of transferring virtual resources from the first user account to the live broadcast account;
acquiring the historical resource transfer record of the first user account;
responding to the fact that the historical resource transfer records meet live broadcast recommendation conditions, and sending a relation chain acquisition request to at least one relation platform, wherein the relation chain acquisition request is used for requesting to acquire a social relation chain corresponding to the first user account, the social relation chain comprises a second user account which has a preset social relation with the first user account on the at least one relation platform, and the same user corresponds to the same user account on the at least one relation platform and the live broadcast platform;
Receiving the social relation chain sent by the at least one association platform;
and sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises a target live broadcast account, the target user account belongs to the second user account, and the target live broadcast account is determined according to the historical resource transfer record.
2. The method of claim 1, wherein sending a relationship chain acquisition request to at least one associated platform in response to the historical resource transfer record satisfying a live recommendation condition comprises:
acquiring resource transfer sub-records corresponding to all live broadcast accounts from the historical resource transfer records, wherein the resource transfer sub-records comprise resource transfer amount and resource transfer time;
and in response to the fact that the resource transfer sub-record corresponding to at least one live account meets the live recommendation condition, sending the relation chain acquisition request to the at least one association platform.
3. The method of claim 2, wherein the sending the relationship chain acquisition request to the at least one association platform in response to the presence of the resource transfer sub-record corresponding to the at least one live account meeting the live recommendation condition comprises:
Determining the latest resource transfer amount of the latest resource transfer according to the resource transfer time; in response to the recent resource transfer amount being greater than a first threshold, determining that the resource transfer sub-record satisfies the live broadcast recommendation condition;
and/or the presence of a gas in the gas,
determining the average resource transfer amount of the latest n times of resource transfer according to the resource transfer time; in response to the average resource transfer amount being greater than a second threshold, determining that the resource transfer sub-record meets the live broadcast recommendation condition;
and/or the presence of a gas in the gas,
determining the resource transfer times within a preset time length according to the resource transfer time; and determining that the resource transfer sub-record meets the live broadcast recommendation condition in response to the resource transfer times being larger than a third threshold value.
4. The method according to claim 2, wherein after the resource transfer sub-records corresponding to the respective live broadcast accounts are acquired from the historical resource transfer records, the method further comprises:
and in response to the fact that the resource transfer sub-record corresponding to at least one live account meets the live recommendation condition, determining the target live account from the live accounts meeting the live recommendation condition.
5. The method according to any one of claims 1 to 3, wherein after receiving the social relationship chain sent by the at least one association platform, the method further comprises:
acquiring a live viewing portrait corresponding to the first user account and the second user account, wherein the live viewing portrait is used for representing live viewing habits and preferences;
and determining the target user account from the second user account according to the portrait similarity between the first user account and the second user account.
6. The method of any of claims 1 to 3, wherein sending live recommendation information to the target user account on the social relationship chain comprises:
and responding to the received live watching request of the target user account, and sending the live recommendation information to the target user account.
7. The method of any of claims 1 to 3, wherein in response to the at least one associated platform being a music platform, the sending live recommendation information to the target user account on the social relationship chain comprises:
responding to a received music playing message sent by the music platform, and acquiring a current singing song of a live broadcast room corresponding to the target live broadcast account, wherein the music playing message contains the current playing song of the target user account;
And responding to the fact that the similarity between the current singing song and the current playing song is larger than a similarity threshold value, and sending live broadcasting recommendation information to the target user account, wherein the live broadcasting recommendation information comprises the song identification of the current singing song and the target live broadcasting account.
8. A live recommendation device, the device being for a live platform, the device comprising:
the system comprises a scoring instruction receiving module, a scoring instruction receiving module and a score setting module, wherein the scoring instruction receiving module is used for receiving a scoring instruction sent by a first user account, and the scoring instruction is used for indicating that a singing song in a live broadcast room corresponding to a current live broadcast account is scored;
the transfer amount determining module is used for determining the resource transfer amount of the virtual resource according to the score contained in the score instruction, wherein the resource transfer amount and the score are in positive correlation;
a resource transfer module, configured to perform resource transfer between the first user account and the current live broadcast account according to the resource transfer amount, and update a history resource transfer record, where the history resource transfer record includes a record of virtual resource transfer from the first user account to the live broadcast account;
the record acquisition module is used for acquiring the historical resource transfer record of the first user account;
A request sending module, configured to send, in response to that the historical resource transfer record meets a live broadcast recommendation condition, a relationship chain acquisition request to at least one association platform, where the relationship chain acquisition request is used to request to acquire a social relationship chain corresponding to the first user account, where the social relationship chain includes a second user account having a predetermined social relationship with the first user account on the at least one association platform, and the same user corresponds to the same user account on the at least one association platform and the live broadcast platform;
the information receiving module is used for receiving the social relation chain sent by the at least one association platform;
and the information sending module is used for sending live broadcast recommendation information to a target user account on the social relationship chain, wherein the live broadcast recommendation information comprises a target live broadcast account, the target user account belongs to the second user account, and the target live broadcast account is determined according to the historical resource transfer record.
9. A server, characterized in that the server comprises a processor and a memory, in which a computer program is stored, which computer program is loaded and executed by the processor to implement the live recommendation method according to any of the preceding claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which is loaded and executed by a processor to implement a live recommendation method as claimed in any one of claims 1 to 7.
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| CN115119018B (en) * | 2021-03-17 | 2023-12-01 | 腾讯科技（深圳）有限公司 | Video processing method, device, computer equipment and storage medium |
| CN113553158A (en) * | 2021-07-29 | 2021-10-26 | 北京达佳互联信息技术有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN113609332B (en) * | 2021-08-11 | 2024-03-08 | 上海众源网络有限公司 | Video live broadcast resource recommendation method, system and device |
| CN113722589B (en) * | 2021-08-23 | 2024-02-06 | 北京达佳互联信息技术有限公司 | Information generation method, device, server and storage medium |
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