CN111970528A - Live broadcast recommendation method and device, computer equipment and readable storage medium - Google Patents

Live broadcast recommendation method and device, computer equipment and readable storage medium Download PDF

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Publication number
CN111970528A
CN111970528A CN202010842339.1A CN202010842339A CN111970528A CN 111970528 A CN111970528 A CN 111970528A CN 202010842339 A CN202010842339 A CN 202010842339A CN 111970528 A CN111970528 A CN 111970528A
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China
Prior art keywords
live broadcast
advertisement
target
identifier
broadcast data
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CN202010842339.1A
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CN111970528B (en
Inventor
周沛源
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Guangzhou Cubesili Information Technology Co Ltd
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Guangzhou Huaduo Network Technology Co Ltd
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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
    • 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
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
    • H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
    • 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
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The application relates to a live broadcast recommendation method and device, computer equipment and a readable storage medium. The method comprises the following steps: receiving a live broadcast list request aiming at a target application program sent by a user terminal, wherein the live broadcast list request carries a target terminal identification of the user terminal; searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification which is an identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal; if the target advertisement click information is found, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program. By the method, the flexibility of live broadcast recommendation can be improved.

Description

Live broadcast recommendation method and device, computer equipment and readable storage medium
Technical Field
The present application relates to the field of live broadcast technologies, and in particular, to a live broadcast recommendation method and apparatus, a computer device, and a readable storage medium.
Background
With the popularization of intelligent terminals, more and more application programs App can be downloaded and installed by users. In order to increase the downloading amount of the App, operators can put advertisements for the App in various advertisers.
Currently, in App advertisement delivery, after an advertiser displays an advertisement at a user terminal, a user clicks the advertisement at the user terminal, and then the App corresponding to the advertisement is installed at the user terminal. Taking the live App as an example, after a user clicks an advertisement put on the live App at a user terminal, the user terminal installs the live App, and the user can browse live content in the live App by opening the installed live App.
However, in the related art, different users open the live App, the live content recommended to the users is the same, the differentiated requirements of the users cannot be met, and the live recommendation flexibility is poor.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a live broadcast recommendation method, apparatus, computer device and readable storage medium capable of improving flexibility of live broadcast recommendation.
In a first aspect, an embodiment of the present application provides a live broadcast recommendation method, where the method includes:
receiving a live broadcast list request aiming at a target application program sent by a user terminal, wherein the live broadcast list request carries a target terminal identification of the user terminal;
searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification which is an identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
if the target advertisement click information is found, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
In one embodiment, the determining recommended live broadcast data corresponding to the advertisement material identifier includes:
determining at least one target live broadcast data with a preset label from a plurality of candidate live broadcast data according to the advertisement material identification, wherein the type of the target live broadcast data represented by the preset label is the same as that of a target advertisement represented by the advertisement material identification;
and determining the recommended live broadcast data according to the at least one target live broadcast data.
In one embodiment, the determining, by the advertisement material identifier, at least one target live data having a preset tag from a plurality of candidate live data includes:
determining at least one piece of material live broadcast data with a first preset label from the plurality of candidate live broadcast data according to the material identification, wherein the type of the material live broadcast data represented by the first preset label is the same as the type of the material of the target advertisement represented by the material identification;
and determining at least one target live broadcast data with a second preset label from the material live broadcast data according to the advertisement identification, wherein the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification.
In one embodiment, the method further comprises:
receiving a plurality of advertisement click information sent by an advertisement server, wherein each advertisement click information comprises a terminal identification of a corresponding terminal;
correspondingly, the searching for the target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier includes:
and searching the target advertisement click information comprising the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
In one embodiment, the method further comprises:
periodically detecting whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information;
and if the overtime advertisement click information exists, deleting the overtime advertisement click information from the plurality of advertisement click information.
In one embodiment, the receiving the live list request for the target application program sent by the user terminal further includes:
detecting whether a history receiving record of the unique equipment identifier exists or not according to the unique equipment identifier;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the history receiving record of the unique equipment identifier does not exist, determining the recommended live broadcast data corresponding to the advertisement material identifier.
In one embodiment, after the detecting whether there is a history receiving record of the unique device identifier according to the unique device identifier, the method further includes:
and if the history receiving record of the unique equipment identifier does not exist, correspondingly storing the advertisement material identifier and the unique equipment identifier in a database.
In one embodiment, after the detecting whether there is a history reception record of the unique device identifier according to the unique device identifier, the method further includes:
and if the history receiving record of the unique identifier of the equipment exists, generating a default live broadcast list according to default live broadcast data, and sending the default live broadcast list to the user terminal, wherein the default live broadcast list is used for displaying the default live broadcast data by the user terminal through the target application program.
In one embodiment, the live list request further carries an equipment unique identifier of the user terminal, and after searching for target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier, the method further includes:
if the target advertisement click information is not found, detecting whether an advertisement material identifier corresponding to the unique identifier of the equipment is stored;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the advertisement material identification corresponding to the unique equipment identification is stored, determining the recommended live broadcast data corresponding to the advertisement material identification.
In a second aspect, an embodiment of the present application provides a live broadcast recommendation apparatus, where the apparatus includes:
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a live broadcast list request aiming at a target application program sent by a user terminal, and the live broadcast list request carries a target terminal identifier of the user terminal;
the searching module is used for searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification, and the advertisement material identification is the identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
and the recommending module is used for determining recommended live broadcast data corresponding to the advertisement material identification if the target advertisement click information is found, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method according to the first aspect as described above.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
after receiving a live broadcast list request aiming at a target application program sent by a user terminal, searching target advertisement click information corresponding to a target terminal identification according to the target terminal identification of the user terminal carried by the live broadcast list request, if the target advertisement click information is searched, an advertisement material identification included in the target advertisement click information is an identification of a target advertisement corresponding to an advertisement click behavior detected by the user terminal, namely, the user clicks the target advertisement corresponding to the advertisement material identification, representing that the user is interested in the target advertisement corresponding to the advertisement material identification, therefore, recommended live broadcast data corresponding to the advertisement material identification is determined based on the target advertisement interested by the user, so that the recommended live broadcast data is also of a type interested by the user, a recommended list is generated according to the recommended live broadcast data, and the user terminal displays the recommended live broadcast data through the target application program, therefore, when the user opens the target application program, the live broadcast content recommended for the user is the recommended live broadcast data which is recommended according to the click behavior of the user on the target advertisement and is interested by the user, the differentiation requirements of different users are met, and the flexibility of live broadcast recommendation is improved. The problem that in the prior art, after a live broadcast list request aiming at a target application program sent by a user terminal is received, live broadcast recommendation flexibility is poor due to the fact that non-differential default live broadcast data are recommended to all users in a unified mode is solved.
Drawings
FIG. 1 is a diagram of an application environment of a live recommendation method in one embodiment;
FIG. 2 is a flow diagram of a live recommendation method in one embodiment;
FIG. 3 is a diagram of an exemplary recommended live listing;
FIG. 4 is a flow diagram that illustrates a determination, by a target server, of recommended live data that corresponds to an identification of advertising material, under an embodiment;
FIG. 5 is a flowchart illustrating step S301 according to an embodiment;
FIG. 6 is a flow diagram illustrating a live recommendation method in one embodiment;
FIG. 7 is a diagram of an exemplary user material management backend interface;
FIG. 8 is a flow diagram illustrating a live recommendation method in one embodiment;
FIG. 9 is a flow diagram that illustrates a method for live recommendation in one embodiment;
FIG. 10 is a block diagram of a live recommender in one embodiment;
fig. 11 is an internal configuration diagram of a computer device in another embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Live refers to video live over the internet. After the user terminal installs the live App, the user opens the live App, and then the live content in the live App can be browsed.
At present, in order to increase the download amount of the live App, operators can put advertisements for the live App in various advertisers. Taking the example that the advertisement is a picture, after the advertiser shows the picture of the advertisement, if the user is interested in the advertisement content (namely the picture content), the user may click the picture, the address linked with the picture is the download address of the live App, and after the user clicks the picture, the user terminal downloads the live App, so that the download amount of the live App is increased.
However, in the related art, different users open the live App installed on the user terminal, and the live contents recommended to the users are all the same, which cannot meet the differentiated requirements of the users, and the flexibility of live recommendation is poor.
In view of the above, the present application provides a live broadcast recommendation method, in which after receiving a live broadcast list request for a target application program sent by a user terminal, target advertisement click information corresponding to a target terminal identifier is searched according to the target terminal identifier of the user terminal carried by the live broadcast list request, if the target advertisement click information is found, an advertisement material identifier included in the target advertisement click information is an identifier of a target advertisement corresponding to an advertisement click behavior detected by the user terminal, that is, a user clicks the target advertisement corresponding to the advertisement material identifier, and the user is represented to be interested in the target advertisement corresponding to the advertisement material identifier, so that recommended live broadcast data corresponding to the advertisement material identifier is determined based on the target advertisement interested by the user, and thus the recommended live broadcast data is also of a type of interest to the user, and generating a recommended live broadcast list according to the recommended live broadcast data, so that the user terminal can display the recommended live broadcast data through the target application program, and when the target application program is opened by the user, the live broadcast content recommended for the user is the recommended live broadcast data which is recommended according to the click behavior of the user on the target advertisement and is interesting to the user, so that the differentiation requirements of different users are met, and the flexibility of live broadcast recommendation is improved. The problem that in the prior art, after a live broadcast list request aiming at a target application program sent by a user terminal is received, live broadcast recommendation flexibility is poor due to the fact that non-differential default live broadcast data are recommended to all users in a unified mode is solved.
In the following, a brief description will be given of an implementation environment related to the live broadcast recommendation method provided in the embodiment of the present application.
As shown in FIG. 1, the implementation environment may include a user terminal 101, a target server 102, and an advertisement server 103, wherein the user terminal 101 and the target server 102, the user terminal 101 and the advertisement server 103, and the target server 102 and the advertisement server 103 may all communicate via a wired or wireless network.
The user terminal 101 may be a personal computer, a notebook computer, a media player, a smart television, a smart phone, a tablet computer, a portable wearable device, and the like, and the type of the user terminal 101 is not particularly limited in this embodiment of the application. The target server 102 may be one server or a server cluster composed of a plurality of servers, and the advertisement server 103 may be one server or a server cluster composed of a plurality of servers; the target server 102 and the advertisement server 103 may be a tower server, a rack server, a blade server, a high-density server, a single-path server, a two-path server, or a multi-path server, and the type of the server is not particularly limited in the embodiments of the present application.
In one embodiment, as shown in fig. 2, a live broadcast recommendation method is provided, which is described by taking an example that the method is applied to the target server shown in fig. 1, and includes steps S100, S200, and S300:
step S100, the target server receives a live list request aiming at a target application program sent by a user terminal.
In the embodiment of the application, the user terminal is provided with a target application program, and the target application program can be a live App for live video and the like.
The live list request is for requesting a live list. The live broadcast list is used for simultaneously displaying information such as anchor information and live broadcast content of a plurality of live broadcast rooms in a list form, so that a user can select interested live broadcast rooms to watch. One live broadcast room can correspond to one list bar, related contents of the corresponding live broadcast room are displayed in the list bar, and a user can watch live broadcast videos of the corresponding live broadcast room by clicking the contents displayed in the list bar.
In the embodiment of the application, when the user terminal detects that the target application program is started, the user terminal generates a live broadcast list request and sends the live broadcast list request to the target server, the live broadcast list request carries a target terminal identifier of the user terminal, the target terminal identifier can be obtained through the target application program, and the target server receives the live broadcast list request aiming at the target application program sent by the user terminal.
In another possible implementation manner, when the user terminal detects an operation of a user, such as refreshing or turning a page of a live list interface, a live list request may also be generated and sent to the target server to request a new live list, which is not limited specifically herein.
And step S200, the target server searches target advertisement click information corresponding to the target terminal identification according to the target terminal identification.
In this embodiment, the target terminal Identifier may be an IMEI (International Mobile Equipment Identity) of the user terminal, an android id (android Equipment Identifier) of the user terminal, an OAID (Open Anonymous Identifier) of the user terminal, or the like.
The IMEI is used for identifying mobile communication devices such as individual mobile phones in a mobile phone network, and corresponds to an identification card of a mobile phone. The android id is a 64-bit number generated randomly by the system when the device is first started, and the number is stored in the form of a 16-system character string, wherein the 16-system character string is the unique android id of the device, and the value is reset after the device is shipped. The OAID is a resettable user equipment identification proposed by the China Mobile Security Association.
In the embodiment of the application, the target advertisement clicking information comprises an advertisement material identifier, the advertisement material identifier is an identifier of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal, and the advertisement material identifier can represent the type of the target advertisement. After the user clicks the target advertisement at the user terminal, the user terminal determines the advertisement material identification of the target advertisement according to the advertisement clicking behavior.
In the embodiment of the application, the target advertisement may be an advertisement for a target application, taking the example that the target advertisement is a picture, after the user clicks the picture corresponding to the target advertisement, the user terminal downloads and installs the target application, and of course, the target advertisement may also be in the form of a short video and the like.
In a possible implementation manner, after each user terminal detects an advertisement click behavior of a user, each user terminal sends advertisement click information corresponding to the advertisement click behavior to an advertisement server, where the advertisement server may be a server of an advertiser, and the advertisement click information may include information such as an advertisement material identifier of an advertisement corresponding to the advertisement click behavior, a terminal identifier of the user terminal, and the like. The advertisement server sends each advertisement click information to the target server of the embodiment of the application. In another possible embodiment, each advertisement click message may also be sent by each user terminal to the target server, and is not particularly limited herein. And after receiving the plurality of advertisement click information, the target server searches for target advertisement click information corresponding to the target terminal identification.
Hereinafter, embodiments of the present application will be described using an example in which a plurality of advertisement click information are transmitted from an advertisement server.
In one embodiment, the target server receives a plurality of advertisement click information sent by the advertisement server, where each advertisement click information includes a terminal identifier of a corresponding terminal, and the target server may implement the process of step S200 by performing step a1 as follows:
step A1, the target server searches the target advertisement click information including the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
In the embodiment of the application, the target server detects the terminal identifications included in the plurality of advertisement click messages, and if the terminal identification included in a certain advertisement click message is the target terminal identification, the target server determines that the advertisement click message is the target advertisement click message.
In the embodiment of the present application, as an implementation manner, the target server may search, according to the IMEI of the user terminal, target advertisement click information including the IMEI from the multiple advertisement click information, if the target advertisement click information is not found or the IMEI of the user terminal is not found, the target server may also search, according to the OAID of the user terminal, target advertisement click information including the OAID from the multiple advertisement click information, and if the target advertisement click information is not found or the OAID of the user terminal is not found, the target server may also search, according to the android id of the user terminal, the target advertisement click information including the android id from the multiple advertisement click information, so that a success rate of the target server searching for the target advertisement click information may be improved.
In the embodiment of the application, as an implementation manner, the advertisement click information may further include click time, for a plurality of received advertisement click information sent by the advertisement server, the target server may further periodically detect whether there is overtime advertisement click information whose storage duration is greater than a preset duration threshold in the plurality of advertisement click information, and if there is overtime advertisement click information, the target server deletes the overtime advertisement click information from the plurality of advertisement click information, so that the latest advertisement click information is retained, and live broadcast recommendation is facilitated more accurately.
Step S300, if the target server finds the target advertisement click information, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal.
The target server searches target advertisement click information corresponding to the target terminal identification according to the target terminal identification, if the target advertisement click information is found, the fact that the user clicks the target advertisement is represented, the user is interested in the type of the target advertisement, the advertisement material identification can represent the type of the target advertisement, the target server determines recommended live broadcast data corresponding to the advertisement material identification, namely the recommended live broadcast data the same as the type of the target advertisement is determined, if the type of the target advertisement is a game type, the target server determines the recommended live broadcast data of the game type, and if the type of the target advertisement is a sports type, the target server determines the recommended live broadcast data of the sports type.
The target server generates a recommended live broadcast list according to the determined recommended live broadcast data, for example, the target server determines recommended live broadcast data of a plurality of game types, taking a list column in the recommended live broadcast list to show related content of a corresponding live broadcast room in a picture form as an example, the target server generates pictures corresponding to the recommended live broadcast data, the pictures are linked with addresses of the recommended live broadcast data of the corresponding live broadcast room, the target server sends the recommended live broadcast list to the user terminal, the recommended live broadcast list is used for the user terminal to show the recommended live broadcast data through a target application program, namely, the user clicks the pictures in the recommended live broadcast list, and the corresponding recommended live broadcast data can be watched.
Of course, the list bar in the recommended live broadcast list may also show the related content of the corresponding live broadcast room in a video form or other forms, and is not limited specifically here. Referring to fig. 3, fig. 3 is a diagram of an exemplary recommended live list. As shown in fig. 3, the list bar in the recommended live broadcast list shows the related content of the corresponding live broadcast room in the form of a short video, and a user can enter the corresponding live broadcast room to view the corresponding recommended live broadcast data by clicking the short video in a certain list bar.
In the embodiment, after receiving a live broadcast list request aiming at a target application program sent by a user terminal, target advertisement click information corresponding to a target terminal identifier is searched according to the target terminal identifier of the user terminal carried by the live broadcast list request, if the target advertisement click information is searched, the target advertisement click information comprises an advertisement material identifier which is the identifier of a target advertisement corresponding to an advertisement click behavior detected by the user terminal, namely, a user clicks the target advertisement corresponding to the advertisement material identifier to represent that the user is interested in the target advertisement corresponding to the advertisement material identifier, therefore, recommended live broadcast data corresponding to the advertisement material identifier is determined based on the target advertisement interested by the user, so that the recommended live broadcast data is also the type of interest of the user, a recommended live broadcast list is generated according to the recommended live broadcast data to display the recommended live broadcast data by the user terminal through the target application program, therefore, when the user opens the target application program, the live broadcast content recommended for the user is the recommended live broadcast data which is recommended according to the click behavior of the user on the target advertisement and is interested by the user, the differentiation requirements of different users are met, and the flexibility of live broadcast recommendation is improved. The problem that in the prior art, after a live broadcast list request aiming at a target application program sent by a user terminal is received, live broadcast recommendation flexibility is poor due to the fact that non-differential default live broadcast data are recommended to all users in a unified mode is solved.
In one embodiment, based on the embodiment shown in fig. 2, and referring to fig. 4, the present embodiment relates to a process of how the target server determines recommended live data corresponding to the advertisement material identifications. As shown in fig. 4, the process may include step S301 and step S302:
step S301, the target server determines at least one target live broadcast data with a preset label from a plurality of candidate live broadcast data according to the advertisement material identification.
And the type of the target live broadcast data represented by the preset label is the same as that of the target advertisement represented by the advertisement material identifier.
As an embodiment, the candidate live data may be tagged, for example, with a type tag, such as a game type tag, a sports type tag, etc., although other tags may be added.
The advertisement material identification may characterize the type of the targeted advertisement, with different advertisement material identifications characterizing different types of targeted advertisements. In a possible implementation manner, a mapping table including a correspondence between each advertisement material identifier and each advertisement type may be preset in the target server, the target server determines the type of the target advertisement corresponding to the advertisement material identifier through the mapping table, and the target server determines at least one target live broadcast data having a corresponding type tag from a plurality of candidate live broadcast data according to the type of the target advertisement.
Referring to fig. 5, in a possible implementation manner of step S301, the advertisement material identifier includes an advertisement identifier and a material identifier, and the target server may execute the process of step S301 implemented in step S3011 and step S3012 as shown in fig. 5:
step S3011, the target server determines at least one piece of material live broadcast data with a first preset tag from the multiple candidate live broadcast data according to the material identification.
In the embodiment of the application, the material identification can be used for representing the type of the material of the target advertisement, and the advertisement identification can be used for representing the type of the advertisement of the target advertisement. One material identifier may correspond to a plurality of advertisement identifiers, that is, a plurality of different advertisement types may be divided under one material type. For example, taking the genre of the material as a sports genre, the plurality of different advertisement genres into which the genre of the material is divided are a basketball genre, a soccer genre, and the like.
And the target server determines at least one piece of material live broadcast data with a first preset label from the plurality of candidate live broadcast data according to the material identification, wherein the type of the material live broadcast data represented by the first preset label is the same as the type of the material of the target advertisement represented by the material identification.
Step S3012, the target server determines at least one target live broadcast data with a second preset tag from the material live broadcast data according to the advertisement identification.
And the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification. After the target server determines at least one piece of material live broadcast data, at least one piece of target live broadcast data of the same type as the advertisement of the target advertisement represented by the advertisement identifier is continuously screened according to the advertisement identifier, so that the recommendation accuracy of the target live broadcast data is favorably improved through finer-grained screening, and the accuracy of the recommended live broadcast data is improved.
Step S302, the target server determines recommended live broadcast data according to at least one target live broadcast data.
In the embodiment of the application, if the number of the at least one piece of target live broadcast data determined by the target server is less than or equal to the number of the recommended live broadcast data corresponding to the recommended live broadcast list, the target server may determine the at least one piece of target live broadcast data as the recommended live broadcast data. If the quantity of the at least one piece of target live broadcast data determined by the target server is larger than the quantity of the recommended live broadcast data corresponding to the recommended live broadcast list, the target server can randomly select the target live broadcast data with the quantity consistent with the quantity of the recommended live broadcast data from the at least one piece of target live broadcast data as the recommended live broadcast data.
In this way, the target server generates a recommended live broadcast list according to the recommended live broadcast data, sends the recommended live broadcast list to the user terminal to display the recommended live broadcast data through the target application program, and recommends live broadcast data for the user in combination with the content in which the user is interested, so that the user stickiness can be improved.
In an embodiment, referring to fig. 6, based on the embodiment shown in fig. 2, the live list request in this embodiment further carries an equipment unique identifier of the user terminal, and this embodiment relates to a process of performing live recommendation by a target server in combination with whether a target application program is installed for the first time for the user terminal. As shown in fig. 6, the live broadcast recommendation method of this embodiment further includes step S400:
in step S400, the target server detects whether there is a history receiving record of the unique device identifier according to the unique device identifier.
In this embodiment, the device unique identifier may be a unique identifier generated by using md5 for physical hardware information of the user terminal. For example, the IMEI of the user terminal is subjected to hash operation, and the obtained hash value is the unique identifier of the user terminal.
In the embodiment of the application, after the target application program is installed at the user terminal, the user terminal sends the unique device identifier to the target server for storage. And after receiving a live broadcast list request aiming at a target application program sent by the user terminal, the target server detects whether the database stores the unique equipment identifier or not according to the fact that the live broadcast list request also carries the unique equipment identifier of the user terminal.
If the unique identifier of the equipment does not exist in the database, the characteristic target application program is installed for the first time, and the user terminal is triggered to install after clicking the target advertisement.
Correspondingly, the target server may implement the process of step S300 by performing step S303 as follows:
step S303, if the target server finds the target advertisement click information and determines that the history receiving record of the unique device identifier does not exist, determining recommended live broadcast data corresponding to the advertisement material identifier, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal.
The target server finds out the target advertisement click information, the target server represents that the user clicks the target advertisement recently, the user terminal is provided with a target application program, the target server determines that the history receiving record of the unique device identifier does not exist, the target application program is characterized to be firstly installed on the user terminal, then the target server determines recommended live broadcast data corresponding to the advertisement material identifier, a recommended live broadcast list is generated according to the recommended live broadcast data, and the recommended live broadcast list is sent to the user terminal, so that after the user opens the target application program, live broadcast data of the same type as the target advertisement clicked recently by the user are recommended for the user, and the live broadcast recommendation flexibility is improved.
In a possible implementation manner, if the target server detects that no history receiving record of the unique device identifier exists, the advertisement material identifier and the unique device identifier are correspondingly stored in the database, so that the live video is recommended to the user subsequently according to the advertisement material identifier.
Referring to fig. 7, fig. 7 is a schematic diagram of an exemplary user material management background interface, where "material id" in fig. 7 is an advertisement material identifier of a corresponding user, so as to provide a data base for other services.
In other embodiments, if the target server detects that a history receiving record with the unique device identifier exists, a default live broadcast list is generated according to the default live broadcast data, the default live broadcast list is sent to the user terminal, and the default live broadcast list is used for displaying the default live broadcast data through the target application program by the user terminal.
If the target server detects that the history receiving record with the unique equipment identifier exists, the target application program is not installed for the first time, namely the user terminal is not the target application program installed due to the fact that the user clicks the target advertisement, in order to avoid the situation that live broadcast data recommended by the target server is not the type interested by the user due to the fact that the user clicks the target advertisement by mistake, the target server generates a default live broadcast list according to the default live broadcast data and sends the default live broadcast list to the user terminal, and therefore the recommendation error of live broadcast recommendation is reduced.
In an embodiment, referring to fig. 8, based on the above-described embodiment shown in fig. 2, this embodiment relates to a process of how a server performs live recommendation in a case where the server does not find targeted advertisement click information. As shown in fig. 8, the live broadcast list request further carries an equipment unique identifier of the user terminal, and the live broadcast recommendation method further includes step S500:
step S500, if the target advertisement click information is not found, whether the advertisement material identification corresponding to the unique equipment identification is stored is detected.
In the implementation of the application, the server searches the target advertisement click information corresponding to the target terminal identification according to the target terminal identification, if the target advertisement click information is not found, the representation target does not click the target advertisement recently, and the live broadcast data cannot be recommended to the user based on the click behavior of the user. The server detects whether the advertisement material identification corresponding to the unique equipment identification is stored.
Correspondingly, the server may implement the process of step S300 by performing step S304 as follows:
and step S304, if the advertisement material identification corresponding to the equipment unique identification is stored, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal.
If the advertisement material identification corresponding to the unique equipment identification is stored, the advertisement material identification is the advertisement material identification corresponding to the target advertisement clicked by the user at the historical moment, and can represent the type of the content of interest of the user to a certain extent. And the server determines recommended live broadcast data corresponding to the advertisement material identification, generates a recommended live broadcast list according to the recommended live broadcast data, and sends the recommended live broadcast list to the user terminal for the user terminal to display the recommended live broadcast data.
In another possible implementation manner, if the target advertisement click information is not found, the server may also generate a default live broadcast list according to the default live broadcast data, and send the default live broadcast list to the user terminal, so that the user terminal can display the recommended live broadcast data. The embodiment provides an implementation mode for the condition that the server does not find the target advertisement click information, and the application scene range of the live broadcast recommendation method is expanded.
In one embodiment, please refer to fig. 9, which illustrates a flowchart of an exemplary live recommendation method provided by an embodiment of the present application, and the method may be applied in the implementation environment shown in fig. 1. As shown in fig. 9, the method may include the steps of:
step S1001, if receiving advertisement click information sent by each user terminal, the advertisement server sends the received advertisement click information to a target server, wherein each advertisement click information comprises a terminal identification of a corresponding terminal.
In step S1002, the target server receives a plurality of advertisement click information.
Step S1003, the target server periodically detects whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information, and if the overtime advertisement click information exists, the target server deletes the overtime advertisement click information from the plurality of advertisement click information.
In step S1004, the user terminal sends a live list request for the target application to the target server.
In step S1005, the target server receives a live list request for the target application program sent by the user terminal.
Step S1006, the target server searches the target advertisement click information corresponding to the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
Step 1007, the target server detects whether a history receiving record of the unique device identifier exists according to the unique device identifier carried by the live broadcast list request.
Step S1008, if the target server finds the target advertisement click information and determines that the history receiving record of the unique device identification does not exist, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal.
It should be understood that although the various steps in the flow charts of fig. 2-9 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-9 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 10, there is provided a live recommendation apparatus including:
a first receiving module 10, configured to receive a live list request for a target application program sent by a user terminal, where the live list request carries a target terminal identifier of the user terminal;
the searching module 20 is configured to search, according to the target terminal identifier, target advertisement click information corresponding to the target terminal identifier, where the target advertisement click information includes an advertisement material identifier, and the advertisement material identifier is an identifier of a target advertisement corresponding to an advertisement click behavior detected by the user terminal;
and the recommending module 30 is configured to determine, if the target advertisement click information is found, recommended live broadcast data corresponding to the advertisement material identifier, generate a recommended live broadcast list according to the recommended live broadcast data, and send the recommended live broadcast list to the user terminal, where the recommended live broadcast list is used for the user terminal to display the recommended live broadcast data through the target application program.
Optionally, the recommending module 30 includes:
the first screening unit is used for determining at least one target live broadcast data with a preset tag from a plurality of candidate live broadcast data according to the advertisement material identifier, wherein the type of the target live broadcast data represented by the preset tag is the same as that of a target advertisement represented by the advertisement material identifier;
and the second screening unit is used for determining the recommended live broadcast data according to the at least one target live broadcast data.
Optionally, the advertisement material identifier includes an advertisement identifier and a material identifier, and the first screening unit is specifically configured to determine, according to the material identifier, at least one piece of material live broadcast data having a first preset tag from the plurality of candidate live broadcast data, where a type of the material live broadcast data represented by the first preset tag is the same as a type of a material of a target advertisement represented by the material identifier; and determining at least one target live broadcast data with a second preset label from the material live broadcast data according to the advertisement identification, wherein the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification.
Optionally, the apparatus further comprises:
the second receiving module is used for receiving a plurality of advertisement click messages sent by the advertisement server, and each advertisement click message comprises a terminal identifier of a corresponding terminal;
correspondingly, the searching module 20 is specifically configured to search the target advertisement click information including the target terminal identifier from the plurality of advertisement click information according to the target terminal identifier.
Optionally, the apparatus further comprises:
the first detection module is used for periodically detecting whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information;
and the deleting module is used for deleting the overtime advertisement click information from the plurality of advertisement click information if the overtime advertisement click information exists.
Optionally, the live list request further carries an equipment unique identifier of the user terminal, and the apparatus further includes:
the second detection module is used for detecting whether a history receiving record of the unique equipment identifier exists or not according to the unique equipment identifier;
correspondingly, the recommending module 30 is specifically configured to determine recommended live broadcast data corresponding to the advertisement material identifier if the history receiving record of the unique device identifier does not exist.
Optionally, the apparatus further comprises:
and the storage module is used for correspondingly storing the advertisement material identifier and the unique equipment identifier in a database if the history receiving record of the unique equipment identifier does not exist.
Optionally, the apparatus further comprises:
and the response module is used for generating a default live broadcast list according to default live broadcast data and sending the default live broadcast list to the user terminal if a historical receiving record of the unique identifier of the equipment exists, wherein the default live broadcast list is used for displaying the default live broadcast data by the user terminal through the target application program.
Optionally, the live list request further carries an equipment unique identifier of the user terminal, and the apparatus further includes:
the third detection module is used for detecting whether an advertisement material identifier corresponding to the unique identifier of the equipment is stored or not if the target advertisement click information is not found;
correspondingly, the recommending module 30 is specifically configured to determine, if an advertisement material identifier corresponding to the device unique identifier is stored, recommended live broadcast data corresponding to the advertisement material identifier.
For specific limitations of the live recommendation device, reference may be made to the above limitations of the live recommendation method applied to the server, and details are not described here. All or part of the modules in the live broadcasting recommendation device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing live broadcast recommendation data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a live recommendation method.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
receiving a live broadcast list request aiming at a target application program sent by a user terminal, wherein the live broadcast list request carries a target terminal identification of the user terminal;
searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification which is an identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
if the target advertisement click information is found, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining at least one target live broadcast data with a preset label from a plurality of candidate live broadcast data according to the advertisement material identification, wherein the type of the target live broadcast data represented by the preset label is the same as that of a target advertisement represented by the advertisement material identification;
and determining the recommended live broadcast data according to the at least one target live broadcast data.
In one embodiment, the advertisement material identification comprises an advertisement identification and a material identification, and the processor when executing the computer program further performs the following steps:
determining at least one piece of material live broadcast data with a first preset label from the plurality of candidate live broadcast data according to the material identification, wherein the type of the material live broadcast data represented by the first preset label is the same as the type of the material of the target advertisement represented by the material identification;
and determining at least one target live broadcast data with a second preset label from the material live broadcast data according to the advertisement identification, wherein the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving a plurality of advertisement click information sent by an advertisement server, wherein each advertisement click information comprises a terminal identification of a corresponding terminal;
correspondingly, the searching for the target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier includes:
and searching the target advertisement click information comprising the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
periodically detecting whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information;
and if the overtime advertisement click information exists, deleting the overtime advertisement click information from the plurality of advertisement click information.
In one embodiment, the live list request further carries a device unique identifier of the user terminal, and the processor executes the computer program to further implement the following steps:
detecting whether a history receiving record of the unique equipment identifier exists or not according to the unique equipment identifier;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the history receiving record of the unique equipment identifier does not exist, determining the recommended live broadcast data corresponding to the advertisement material identifier.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and if the history receiving record of the unique equipment identifier does not exist, correspondingly storing the advertisement material identifier and the unique equipment identifier in a database.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and if the history receiving record of the unique identifier of the equipment exists, generating a default live broadcast list according to default live broadcast data, and sending the default live broadcast list to the user terminal, wherein the default live broadcast list is used for displaying the default live broadcast data by the user terminal through the target application program.
In one embodiment, the live list request further carries a device unique identifier of the user terminal, and the processor executes the computer program to further implement the following steps:
if the target advertisement click information is not found, detecting whether an advertisement material identifier corresponding to the unique identifier of the equipment is stored;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the advertisement material identification corresponding to the unique equipment identification is stored, determining the recommended live broadcast data corresponding to the advertisement material identification.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving a live broadcast list request aiming at a target application program sent by a user terminal, wherein the live broadcast list request carries a target terminal identification of the user terminal;
searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification which is an identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
if the target advertisement click information is found, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining at least one target live broadcast data with a preset label from a plurality of candidate live broadcast data according to the advertisement material identification, wherein the type of the target live broadcast data represented by the preset label is the same as that of a target advertisement represented by the advertisement material identification;
and determining the recommended live broadcast data according to the at least one target live broadcast data.
In one embodiment, the advertising material identification comprises an advertising identification and a material identification, the computer program when executed by the processor further performing the steps of:
determining at least one piece of material live broadcast data with a first preset label from the plurality of candidate live broadcast data according to the material identification, wherein the type of the material live broadcast data represented by the first preset label is the same as the type of the material of the target advertisement represented by the material identification;
and determining at least one target live broadcast data with a second preset label from the material live broadcast data according to the advertisement identification, wherein the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification.
In one embodiment, the computer program when executed by the processor further performs the steps of:
receiving a plurality of advertisement click information sent by an advertisement server, wherein each advertisement click information comprises a terminal identification of a corresponding terminal;
correspondingly, the searching for the target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier includes:
and searching the target advertisement click information comprising the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
In one embodiment, the computer program when executed by the processor further performs the steps of:
periodically detecting whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information;
and if the overtime advertisement click information exists, deleting the overtime advertisement click information from the plurality of advertisement click information.
In one embodiment, the live list request further carries a device unique identifier of the user terminal, and the computer program, when executed by the processor, further implements the steps of:
detecting whether a history receiving record of the unique equipment identifier exists or not according to the unique equipment identifier;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the history receiving record of the unique equipment identifier does not exist, determining the recommended live broadcast data corresponding to the advertisement material identifier.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the history receiving record of the unique equipment identifier does not exist, correspondingly storing the advertisement material identifier and the unique equipment identifier in a database.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the history receiving record of the unique identifier of the equipment exists, generating a default live broadcast list according to default live broadcast data, and sending the default live broadcast list to the user terminal, wherein the default live broadcast list is used for displaying the default live broadcast data by the user terminal through the target application program.
In one embodiment, the live list request further carries a device unique identifier of the user terminal, and the computer program, when executed by the processor, further implements the steps of:
if the target advertisement click information is not found, detecting whether an advertisement material identifier corresponding to the unique identifier of the equipment is stored;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the advertisement material identification corresponding to the unique equipment identification is stored, determining the recommended live broadcast data corresponding to the advertisement material identification.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (12)

1. A live recommendation method, characterized in that the method comprises:
receiving a live broadcast list request aiming at a target application program sent by a user terminal, wherein the live broadcast list request carries a target terminal identification of the user terminal;
searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification which is an identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
if the target advertisement click information is found, determining recommended live broadcast data corresponding to the advertisement material identification, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
2. The method of claim 1, wherein the determining recommended live data corresponding to the advertising material identification comprises:
determining at least one target live broadcast data with a preset label from a plurality of candidate live broadcast data according to the advertisement material identification, wherein the type of the target live broadcast data represented by the preset label is the same as that of a target advertisement represented by the advertisement material identification;
and determining the recommended live broadcast data according to the at least one target live broadcast data.
3. The method of claim 2, wherein the advertisement material identifier comprises an advertisement identifier and a material identifier, and wherein determining at least one target live data with a preset tag from a plurality of candidate live data according to the advertisement material identifier comprises:
determining at least one piece of material live broadcast data with a first preset label from the plurality of candidate live broadcast data according to the material identification, wherein the type of the material live broadcast data represented by the first preset label is the same as the type of the material of the target advertisement represented by the material identification;
and determining at least one target live broadcast data with a second preset label from the material live broadcast data according to the advertisement identification, wherein the type of the target live broadcast data represented by the second preset label is the same as the type of the target advertisement represented by the advertisement identification.
4. The method of claim 1, further comprising:
receiving a plurality of advertisement click information sent by an advertisement server, wherein each advertisement click information comprises a terminal identification of a corresponding terminal;
correspondingly, the searching for the target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier includes:
and searching the target advertisement click information comprising the target terminal identification from the plurality of advertisement click information according to the target terminal identification.
5. The method of claim 4, further comprising:
periodically detecting whether overtime advertisement click information with the storage duration being greater than a preset duration threshold exists in the plurality of advertisement click information;
and if the overtime advertisement click information exists, deleting the overtime advertisement click information from the plurality of advertisement click information.
6. The method according to claim 1, wherein the live list request further carries a device unique identifier of the user terminal, and after receiving the live list request for the target application program sent by the user terminal, the method further comprises:
detecting whether a history receiving record of the unique equipment identifier exists or not according to the unique equipment identifier;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the history receiving record of the unique equipment identifier does not exist, determining the recommended live broadcast data corresponding to the advertisement material identifier.
7. The method of claim 6, wherein after detecting whether there is a history of receipt of the unique device identifier according to the unique device identifier, the method further comprises:
and if the history receiving record of the unique equipment identifier does not exist, correspondingly storing the advertisement material identifier and the unique equipment identifier in a database.
8. The method of claim 6, wherein after detecting whether there is a history of receipt of the unique device identifier according to the unique device identifier, further comprising:
and if the history receiving record of the unique identifier of the equipment exists, generating a default live broadcast list according to default live broadcast data, and sending the default live broadcast list to the user terminal, wherein the default live broadcast list is used for displaying the default live broadcast data by the user terminal through the target application program.
9. The method according to claim 1, wherein the live list request further carries a device unique identifier of the user terminal, and after searching for the target advertisement click information corresponding to the target terminal identifier according to the target terminal identifier, the method further comprises:
if the target advertisement click information is not found, detecting whether an advertisement material identifier corresponding to the unique identifier of the equipment is stored;
correspondingly, the determining the recommended live broadcast data corresponding to the advertisement material identifier includes:
and if the advertisement material identification corresponding to the unique equipment identification is stored, determining the recommended live broadcast data corresponding to the advertisement material identification.
10. A live recommendation apparatus, the apparatus comprising:
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a live broadcast list request aiming at a target application program sent by a user terminal, and the live broadcast list request carries a target terminal identifier of the user terminal;
the searching module is used for searching target advertisement clicking information corresponding to the target terminal identification according to the target terminal identification, wherein the target advertisement clicking information comprises an advertisement material identification, and the advertisement material identification is the identification of a target advertisement corresponding to the advertisement clicking behavior detected by the user terminal;
and the recommending module is used for determining recommended live broadcast data corresponding to the advertisement material identification if the target advertisement click information is found, generating a recommended live broadcast list according to the recommended live broadcast data, and sending the recommended live broadcast list to the user terminal, wherein the recommended live broadcast list is used for displaying the recommended live broadcast data by the user terminal through the target application program.
11. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of claims 1 to 9.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113407741A (en) * 2021-06-04 2021-09-17 北京三快在线科技有限公司 Material management method, device, electronic equipment and storage medium
CN113836421A (en) * 2021-09-28 2021-12-24 土巴兔集团股份有限公司 Work recommendation method and related device

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105635764A (en) * 2016-01-14 2016-06-01 腾讯科技（深圳）有限公司 Method and device for playing push information in live video
US9560159B1 (en) * 2013-06-07 2017-01-31 Google Inc. Recommending media content to a user based on information associated with a referral source
CN106604044A (en) * 2016-11-21 2017-04-26 武汉斗鱼网络科技有限公司 Direct broadcast room recommendation strategy assessment method, user equipment, and server system
US20180288450A1 (en) * 2016-01-28 2018-10-04 Tencent Technology (Shenzhen) Company Limited Method for inserting information push into live video streaming, server, and terminal
CN108712665A (en) * 2018-05-18 2018-10-26 武汉斗鱼网络科技有限公司 A kind of generation method, device, server and the storage medium of live streaming list
CN109840791A (en) * 2017-11-28 2019-06-04 腾讯科技（深圳）有限公司 Advertisement recommended method, device, computer equipment and storage medium
CN110856003A (en) * 2019-10-17 2020-02-28 网易（杭州）网络有限公司 Live list pushing method and device, electronic equipment and storage medium
CN111008869A (en) * 2019-12-05 2020-04-14 秒针信息技术有限公司 Advertisement recommendation method and device, electronic equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9560159B1 (en) * 2013-06-07 2017-01-31 Google Inc. Recommending media content to a user based on information associated with a referral source
CN105635764A (en) * 2016-01-14 2016-06-01 腾讯科技（深圳）有限公司 Method and device for playing push information in live video
US20180288450A1 (en) * 2016-01-28 2018-10-04 Tencent Technology (Shenzhen) Company Limited Method for inserting information push into live video streaming, server, and terminal
CN106604044A (en) * 2016-11-21 2017-04-26 武汉斗鱼网络科技有限公司 Direct broadcast room recommendation strategy assessment method, user equipment, and server system
CN109840791A (en) * 2017-11-28 2019-06-04 腾讯科技（深圳）有限公司 Advertisement recommended method, device, computer equipment and storage medium
CN108712665A (en) * 2018-05-18 2018-10-26 武汉斗鱼网络科技有限公司 A kind of generation method, device, server and the storage medium of live streaming list
CN110856003A (en) * 2019-10-17 2020-02-28 网易（杭州）网络有限公司 Live list pushing method and device, electronic equipment and storage medium
CN111008869A (en) * 2019-12-05 2020-04-14 秒针信息技术有限公司 Advertisement recommendation method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113407741A (en) * 2021-06-04 2021-09-17 北京三快在线科技有限公司 Material management method, device, electronic equipment and storage medium
CN113836421A (en) * 2021-09-28 2021-12-24 土巴兔集团股份有限公司 Work recommendation method and related device

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