CN113709507A - Video recommendation method and device, electronic equipment and storage medium - Google Patents
Video recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- CN113709507A CN113709507A CN202110857189.6A CN202110857189A CN113709507A CN 113709507 A CN113709507 A CN 113709507A CN 202110857189 A CN202110857189 A CN 202110857189A CN 113709507 A CN113709507 A CN 113709507A
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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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- 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
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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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
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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
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The disclosure relates to a video recommendation method, a video recommendation device, an electronic device and a storage medium, wherein the method comprises the following steps: receiving a video watching request aiming at a target type live video sent by a target terminal; the method comprises the steps of obtaining a target sorting mode corresponding to a target account when a target category of live videos is watched, wherein when the target sorting mode is adopted to sort a plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than a preset threshold value; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. Through the technical scheme provided by the embodiment of the disclosure, the probability that the live video recommended by the live server is the live video liked by the target account is higher, so that the purpose of recommending the live video for the user in a personalized manner can be achieved.
Description
Technical Field
The present disclosure relates to the field of video technologies, and in particular, to a video recommendation method and apparatus, an electronic device, and a storage medium.
Background
With the continuous development of the live webcasting technology, more and more users watch live webcasting, and the types of live webcasting videos are more diversified. The live broadcast platform can show various categories of live broadcasts for the user, such as shopping categories, color value categories, outdoor categories and the like, so that the user can select to watch the live broadcasts of the corresponding categories according to own preference.
However, in the prior art, the live platform can uniformly display corresponding live content, and different users have the same display content when watching the same type of live content on the live platform, so that personalized live content display cannot be performed according to the preferences of different users.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a video recommendation method, apparatus, electronic device, and storage medium.
According to a first aspect of the embodiments of the present disclosure, there is provided a video recommendation method, including:
receiving a video watching request aiming at a target type live video sent by a target terminal, wherein the video watching request carries an account identifier of a target account;
acquiring a target sorting mode corresponding to the target account when the target account watches the target type live video, wherein when the target sorting mode is adopted to sort a plurality of live videos included in the target type live video, the preference degree of the target account on the target type live video is greater than a preset threshold value;
and sequencing the live videos in the target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to the target terminal.
Optionally, the obtaining of the target sorting manner corresponding to the target account when watching the live video of the target category includes:
acquiring a plurality of preset live video sequencing modes;
sequencing the live videos respectively through the live video sequencing modes to obtain a plurality of corresponding sequencing results;
and acquiring the preference degrees of the target accounts to the live videos of the target categories under the plurality of sequencing results, and taking the live video sequencing mode corresponding to the preference degree greater than the preset threshold value as a target live video sequencing mode.
Optionally, each live video in the live videos has multiple dimension data, and the weight coefficients corresponding to the multiple dimension data in different live video sorting modes are different;
the sorting of the live videos through the live video sorting modes respectively comprises the following steps:
acquiring a plurality of dimension data of each live video;
for each live video, determining a score corresponding to each dimension data of the live video;
for each live video sequencing mode, calculating total scores corresponding to the live videos respectively based on scores corresponding to the dimension data and weight coefficients corresponding to the dimension data in the live video sequencing mode;
and for each live video sequencing mode, sequencing the live videos in an order of high total score to low total score.
Optionally, the determining, for each live video, a score corresponding to each dimension data of the live video includes:
for each dimension data, calculating an average of the dimension data of the plurality of live videos;
for each dimension data of each live video, determining a score corresponding to the dimension data based on a difference between the dimension data and an average value corresponding to the dimension data.
Optionally, the obtaining of the degree of preference of the target account for the live video of the target category under the plurality of sorting results includes:
acquiring historical watching behavior data of the target account on the live video of the target category under the plurality of sequencing results;
and determining the preference degree of the target account to the live video of the target category according to the historical watching behavior data.
According to a second aspect of the embodiments of the present disclosure, there is provided a video recommendation apparatus including:
the system comprises a watching request receiving module, a video watching request receiving module and a video watching request sending by a target terminal and aiming at a target category of live videos, wherein the video watching request carries an account identifier of a target account;
a sorting mode obtaining module configured to execute obtaining of a target sorting mode corresponding to the target account when the target account watches the target category of live videos, wherein when the target sorting mode is adopted to sort a plurality of live videos included in the target category of live videos, a preference degree of the target account for the target category of live videos is greater than a preset threshold;
and the video recommendation module is configured to execute the sequencing of the live videos in the target sequencing mode and send the target live videos with sequencing serial numbers smaller than a preset serial number to the target terminal.
Optionally, the sorting manner obtaining module includes:
the sorting mode acquisition unit is configured to execute acquisition of a plurality of preset live video sorting modes;
the sorting unit is configured to execute sorting of the live videos through the live video sorting modes to obtain a plurality of corresponding sorting results;
and the sorting mode determining unit is configured to execute the steps of acquiring the preference degrees of the target accounts to the target category live broadcast videos under the plurality of sorting results, and taking the sorting mode with the preference degree larger than the preset threshold value as the target sorting mode.
Optionally, each live video in the live videos has multiple dimension data, and the weight coefficients corresponding to the multiple dimension data in different live video sorting modes are different;
the sorting unit is specifically configured to perform:
acquiring a plurality of dimension data of each live video;
for each live video, determining a score corresponding to each dimension data of the live video;
for each live video sequencing mode, calculating total scores corresponding to the live videos respectively based on scores corresponding to the dimension data and weight coefficients corresponding to the dimension data in the live video sequencing mode;
and for each live video sequencing mode, sequencing the live videos in an order of high total score to low total score.
Optionally, the sorting unit is specifically configured to perform:
for each dimension data, calculating an average of the dimension data of the plurality of live videos;
for each dimension data of each live video, determining a score corresponding to the dimension data based on a difference between the dimension data and an average value corresponding to the dimension data.
Optionally, the sorting manner determining unit is specifically configured to perform:
acquiring historical watching behavior data of the target account on the live video of the target category under the plurality of sequencing results;
and determining the preference degree of the target account to the live video of the target category according to the historical watching behavior data.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the video recommendation method of the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the steps of the video recommendation method of the first aspect.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product which, when run on a computer, causes the computer to perform the steps of the video recommendation method of the first aspect.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the technical scheme provided by the embodiment of the disclosure, after a video watching request aiming at a target type live video sent by a target terminal is received, a target sorting mode corresponding to a target account when the target type live video is watched is obtained; and sequencing the videos in a target sequencing mode, and sending the target videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow diagram illustrating a video recommendation method in accordance with an exemplary embodiment;
FIG. 2 is a flowchart illustrating an embodiment of step S120 in the embodiment shown in FIG. 1;
FIG. 3 is a flowchart illustrating an embodiment of step S122 in the embodiment shown in FIG. 2;
FIG. 4 is a diagram illustrating an application scenario in accordance with an illustrative embodiment;
FIG. 5 is a block diagram illustrating a video recommendation device in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
A live broadcast square is a scene that shows different categories of live content, that is, in a live broadcast square, a user can see live videos of various categories. The multiple categories may include, among others, a shopping category, a color value category, and an outdoor category. The user can watch the s live video of the corresponding category according to the preference of the user.
However, in the related art, when different users watch live videos of the same category in a live broadcast square, the watched live videos are the same, that is, the related art cannot recommend live videos for the users individually. In order to solve the technical problem in the related art, embodiments of the present disclosure provide a video recommendation method, an apparatus, an electronic device, and a storage medium.
In a first aspect, a video recommendation method provided by an embodiment of the present disclosure is first elaborated.
Fig. 1 is a flowchart illustrating a video recommendation method according to an exemplary embodiment, and as shown in fig. 1, the method may be used for a video recommendation apparatus, which may be run in an electronic device, which may be a live server, although the electronic device is not particularly limited in this disclosure.
The video recommendation method provided by the embodiment of the disclosure can comprise the following steps:
in step S110, a video viewing request for live video of a target category sent by a target terminal is received.
And the video watching request carries the account identification of the target account.
In this step, the target account may be any account for viewing a live video, the target terminal may be any terminal used by the target account, and the target category may be a shopping category, a color value category, or an outdoor category. The account identification of the target account may be account information of the target account. It should be noted that the account information (including but not limited to user device information, user personal information, etc.) referred to in the present disclosure is information authorized by the user or sufficiently authorized by each party.
In practical application, after a live broadcast square is opened by a target account, when a target type of live broadcast video is to be watched, a target terminal can be triggered to send a video watching request to a live broadcast server.
In step S120, a target sorting manner corresponding to the target account when viewing the live video of the target category is obtained.
When a target sorting mode is adopted to sort a plurality of live videos included in the live videos of the target category, the preference degree of the target account on the live videos of the target category is larger than a preset threshold value.
In this step, after receiving the video viewing request, the live broadcast server may parse the video viewing request to obtain an account identifier of the target account carried by the video viewing request.
It should be noted that the live broadcast server may obtain the viewing preference of each account in advance according to the historical viewing behavior data of the live broadcast video of the target category viewed by each account, and filter out the sorting mode matched with each account according to the viewing preference of the user. That is, each account corresponds to a matching ranking. In this way, the live broadcast server can obtain a target sorting mode corresponding to the target account when the target account watches the live broadcast videos of the target category, and when the target sorting mode is adopted to sort a plurality of live broadcast videos included in the live broadcast videos of the target category, the preference degree of the target account on the live broadcast videos of the target category is greater than a preset threshold value, so that in the subsequent steps, the probability that the live broadcast video recommended by the live broadcast server is the live broadcast video preferred by the target account is high.
For clarity of the description of the scheme, a specific implementation manner of obtaining a target ordering manner corresponding to a target account when watching a live video of a target category will be described in detail in the following embodiments.
In step S130, the plurality of live videos are sorted in a target sorting manner, and a target live video with a sorting sequence number smaller than a preset sequence number is sent to the target terminal.
In the step, after the target sorting mode is obtained, the plurality of live videos included in the live videos of the target category are sorted through the target sorting mode to obtain a live broadcast list, and the target live broadcast videos sorted to the front in the live broadcast list can be recommended to the target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is higher, so that the probability that the target live video recommended by the live broadcast server for the target account is the live video preferred by the target account is higher, and the purpose of recommending the live video for the user in a personalized manner can be achieved.
According to the technical scheme provided by the embodiment of the disclosure, after a live video watching request aiming at a target type live video sent by a target terminal is received, a target sorting mode corresponding to a target account when the target type live video is watched is obtained; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
For the purpose of scenario description request, a detailed description will be given below in the following embodiments of obtaining a target ordering manner corresponding to a target account when viewing a live video of a target category.
As shown in fig. 2, in step S120, acquiring a target sorting manner corresponding to the target account when viewing the live video of the target category may include the following steps:
in step S121, a plurality of preset live video sorting manners are acquired.
Specifically, in practical applications, the live video has a plurality of dimensional data, and the plurality of dimensional data may include praise data of the live video, a viewing duration of the user viewing the live video, a gift data of the live video, pk information of the live video, and the like. The multiple dimension data of the live video can be determined according to actual conditions, and the multiple dimension data are not specifically limited in the embodiment of the disclosure.
In the technical scheme provided by the embodiment of the disclosure, different weight coefficients can be set for each dimension data of the live video in advance, so that different live video sequencing modes can be generated. For example, in the first live video sorting manner, the configuration coefficient corresponding to the praise data may be 1; the configuration coefficient corresponding to the watching duration of the live video watched by the user can be 2; the configuration coefficient corresponding to the gift data of the live video can be 3; the configuration coefficient corresponding to pk information of the live video may be 4. In the second live video sorting mode, the configuration coefficient corresponding to the praise data may be 4; the configuration coefficient corresponding to the watching duration of the live video watched by the user may be 3; the configuration coefficient corresponding to the gift data of the live video may be 2; the configuration coefficient corresponding to pk information of the live video may be 1.
In step S122, the live videos are sorted by a plurality of live video sorting manners, so as to obtain a plurality of corresponding sorting results.
As can be seen from the above description, in different live video sorting modes, the configuration coefficients corresponding to multiple dimension data of the live video are different. Therefore, the live videos can be sorted according to different live video sorting modes to obtain a plurality of corresponding sorting results.
As will be explained in detail below with respect to step S122, as shown in fig. 3, sorting the plurality of live videos by a sorting manner of the plurality of live videos may include the following steps:
in step S1221, a plurality of dimensional data of each live video is acquired.
In this step, data such as praise data, viewing duration, gift data, pk information, and the like of each live video may be acquired.
In step S1222, for each live video, scores corresponding to the respective dimension data of the live video are determined.
In order to avoid inaccuracy of each determined dimension data due to different units of each dimension data, the score corresponding to each dimension data of each live video is quantized and normalized in the embodiment of the disclosure. For example, if the unit of the praise data is one and the unit of the gift data is one, if the scores corresponding to the two pieces of dimensional data are directly determined, the scores of the two pieces of dimensional data are not comparable due to different units, and therefore, the scores corresponding to the pieces of dimensional data need to be quantized and normalized.
Specifically, in an embodiment, for each live video, determining a score corresponding to each dimension data of the live video may include the following two steps:
And 2, determining a score corresponding to each dimension data of each live video based on a difference value between the dimension data and an average value corresponding to the dimension data.
In this embodiment, when determining the score corresponding to each piece of dimension data, an average value of the dimension data of a plurality of live videos may be calculated, and for each piece of dimension data of each live video, the difference between the dimension data and the average value corresponding to the dimension data may be made, for example, the difference is greater than 0, and the score corresponding to the dimension data may be determined to be 10 scores; if the difference is less than or equal to 0, the score corresponding to the dimension data may be determined to be 0. Of course, a gradient of the difference may also be set to determine the score corresponding to the dimension data, for example, one dimension data is larger than the average value corresponding to the dimension data, and the larger the difference is, the higher the score corresponding to the dimension data is, otherwise, the lower the score is. As can be seen, the scores corresponding to the respective dimensional data determined by the present embodiment are more accurate.
In step S1223, for each live video ranking mode, total scores corresponding to the multiple live videos are calculated based on the scores corresponding to the respective dimension data and the weight coefficients corresponding to the respective dimension data in the live video ranking mode.
Specifically, for each live video sorting mode, the score corresponding to each dimension data and the weight coefficient corresponding to each dimension data in the live video sorting mode are determined, and therefore, for each live video, the sum of the product of the score corresponding to each dimension data of the live video and the weight coefficient corresponding to the dimension data can be determined as the total score corresponding to the live video.
In step S1224, for each live video ranking manner, the plurality of live videos are ranked in order of total score from high to low.
Specifically, for each live video sorting mode, after the total scores corresponding to the multiple live videos are calculated, the multiple live videos can be sorted in the sequence from high to low according to the total scores, so that multiple corresponding sorting results are obtained, that is, multiple groups of sorted live lists can be obtained.
In step S123, the preference degrees of the target accounts for the live videos of the target categories under the multiple sorting results are obtained, and the sorting manner corresponding to the preference degree greater than the preset threshold is used as the target sorting manner.
Specifically, when the target account watches live videos of a target category, the live videos in the top ranking order in the ranking result corresponding to one ranking mode can be randomly selected and pushed to the target account, and user behavior data of the target account on the pushed live videos is recorded, for example, the user behavior data includes watching duration data, praise data, gift sending data and the like. And recording and counting the preference degree of the user according to the user behavior data, and taking the sorting mode corresponding to the preference degree greater than a preset threshold value as a target sorting mode.
In one embodiment, obtaining the preference degree of the target account for the target category of the live video under the plurality of sorting results may include the following two steps:
And 2, determining the preference degree of the target account to the live video of the target category according to the historical watching behavior data.
In the embodiment, by counting the historical watching behavior data of the target account on the target category live video under the plurality of sequencing results, the preference degree of the target account on the target category live video can be accurately determined, and further, the target sequencing mode corresponding to the target account when the target account watches the target category live video can be accurately determined.
For clarity of description, the technical solutions of the embodiments of the present disclosure will be described in detail below with reference to specific examples.
As shown in fig. 4, the present disclosure relates to interaction between a user, i.e., a terminal, and a live server.
In this example, four parts of content are involved, the first part of content is data statistics, and the part includes statistics on user behavior data such as viewing data, like data, and gift data, and also requires statistics on multiple dimensions of live video.
And the second part of the content is calculated for the vertical information. That is to say, the live broadcast server sorts the live broadcast videos of the target category according to a plurality of live broadcast video sorting modes, and since the content of this portion has been described in detail in the above embodiment, details are not described here again.
The third part content is user consumption information. That is, the preference degree of the user for the live video of the target category is determined by acquiring the historical viewing behavior data of the user for the live video of the target category under the plurality of sorting results. Since this part of the content has also been described in detail in the above embodiments, it is not described herein again.
The fourth part of the content is subsequent push data, namely, a video watching request aiming at the live video of the target category sent by the target terminal is received; according to the consumption preference of the target account, acquiring a target sorting mode corresponding to the target account when the target account watches the live video of the target category; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. Since this part of the content has also been described in detail in the above embodiments, it is not described herein again.
Fig. 5 is a block diagram illustrating a video recommendation device according to an example embodiment. Referring to fig. 5, the video recommendation apparatus includes:
a viewing request receiving module 510 configured to execute receiving a video viewing request for a target category of live video sent by a target terminal, where the video viewing request carries an account identifier of a target account;
a sorting manner obtaining module 520, configured to execute obtaining of a target sorting manner corresponding to the target account when the target account watches the target category of live videos, where when the target sorting manner is used to sort a plurality of live videos included in the target category of live videos, a preference degree of the target account for the target category of live videos is greater than a preset threshold;
the video recommending module 530 is configured to perform sorting of the plurality of live videos in the target sorting manner, and send a target live video with a sorting sequence number smaller than a preset sequence number to the target terminal.
According to the technical scheme provided by the embodiment of the disclosure, after receiving a direct viewing request for a target category live video sent by a target terminal, a target sorting mode corresponding to a target account when the target account watches the target category live video is obtained; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
Optionally, the sorting manner obtaining module includes:
the sorting mode acquisition unit is configured to execute acquisition of a plurality of preset live video sorting modes;
the sorting unit is configured to execute sorting of the live videos through the live video sorting modes to obtain a plurality of corresponding sorting results;
and the sorting mode determining unit is configured to execute the steps of acquiring the preference degrees of the target accounts to the live videos of the target categories under the plurality of sorting results, and taking the sorting mode with the preference degree larger than the preset threshold value as the target sorting mode.
Optionally, each live video in the live videos has multiple dimension data, and the weight coefficients corresponding to the multiple dimension data in different live video sorting modes are different;
the sorting unit is specifically configured to perform:
acquiring a plurality of dimension data of each live video;
for each live video, determining a score corresponding to each dimension data of the live video;
for each live video sequencing mode, calculating total scores corresponding to the live videos respectively based on scores corresponding to the dimension data and weight coefficients corresponding to the dimension data in the live video sequencing mode;
and for each live video sequencing mode, sequencing the live videos in an order of high total score to low total score.
Optionally, the sorting unit is specifically configured to perform:
for each dimension data, calculating an average of the dimension data of the plurality of live videos;
for each dimension data of each live video, determining a score corresponding to the dimension data based on a difference between the dimension data and an average value corresponding to the dimension data.
Optionally, the sorting manner determining unit is specifically configured to perform:
acquiring historical watching behavior data of the target account on the live video of the target category under the plurality of sequencing results;
and determining the preference degree of the target account to the live video of the target category according to the historical watching behavior data.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating an apparatus 600 for presenting a group according to an example embodiment. For example, the apparatus 600 may be provided as a server. Referring to fig. 6, the apparatus 600 includes a processing component 622 that further includes one or more processors and memory resources, represented by memory 632, for storing instructions, such as applications, that are executable by the processing component 622. The application programs stored in memory 632 may include one or more modules that each correspond to a set of instructions. Further, the processing component 622 is configured to execute the instructions to perform the video presentation method of the third aspect.
The apparatus 600 may also include a power component 626 configured to perform power management of the apparatus 600, a wired or wireless network interface 650 configured to connect the apparatus 600 to a network, and an input/output (I/O) interface 658. The apparatus 600 may operate based on an operating system stored in the memory 632, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
According to the technical scheme provided by the embodiment of the disclosure, after a video watching request aiming at a target type live video sent by a target terminal is received, a target sorting mode corresponding to a target account when the target type live video is watched is obtained; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
Embodiments of the present disclosure also provide a computer-readable storage medium, where instructions, when executed by a processor of an electronic device, enable the electronic device to perform one of the above-mentioned video recommendation methods.
According to the technical scheme provided by the embodiment of the disclosure, after a video watching request aiming at a target type live video sent by a target terminal is received, a target sorting mode corresponding to a target account when the target type live video is watched is obtained; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
There is also provided, in accordance with an embodiment of the present disclosure, a computer program product, and in yet another embodiment of the present disclosure, a computer program product including instructions, which when run on a computer, cause the computer to perform the steps of the video recommendation method according to any one of the above embodiments.
According to the technical scheme provided by the embodiment of the disclosure, after a video watching request aiming at a target type live video sent by a target terminal is received, a target live video sequencing mode corresponding to a target account when the target type live video is watched is obtained; and sequencing the plurality of live videos in a target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to a target terminal. When the target sorting mode is adopted to sort the plurality of live videos included in the target category of live videos, the preference degree of the target account on the target category of live videos is larger than the preset threshold value, so that the probability that the live videos recommended by the live broadcast server are the live videos preferred by the target account is high, and the purpose of recommending the live videos for the user in a personalized mode can be achieved.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the disclosure are, in whole or in part, generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber, DSL (Digital Subscriber Line)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD (Digital Versatile Disk)), or a semiconductor medium (e.g., an SSD (Solid State Disk)), etc.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for video recommendation, comprising:
receiving a video watching request aiming at a target type live video sent by a target terminal, wherein the video watching request carries an account identifier of a target account;
acquiring a target sorting mode corresponding to the target account when the target account watches the target type live video, wherein when the target sorting mode is adopted to sort a plurality of live videos included in the target type live video, the preference degree of the target account on the target type live video is greater than a preset threshold value;
and sequencing the live videos in the target sequencing mode, and sending the target live videos with sequencing serial numbers smaller than a preset serial number to the target terminal.
2. The method of claim 1, wherein the obtaining of the target ordering manner corresponding to the target account when viewing the live video of the target category comprises:
acquiring a plurality of preset live video sequencing modes;
sequencing the live videos respectively through the live video sequencing modes to obtain a plurality of corresponding sequencing results;
and acquiring the preference degrees of the target accounts to the live videos of the target categories under the plurality of sorting results, and taking the live video sorting mode corresponding to the preference degree greater than the preset threshold value as a target sorting mode.
3. The method according to claim 2, wherein each live video of the live videos has a plurality of dimension data, and the plurality of dimension data respectively correspond to different weighting coefficients in different live video sorting modes;
the sorting of the live videos through the live video sorting modes respectively comprises the following steps:
acquiring a plurality of dimension data of each live video;
for each live video, determining a score corresponding to each dimension data of the live video;
for each live video sequencing mode, calculating total scores corresponding to the live videos respectively based on scores corresponding to the dimension data and weight coefficients corresponding to the dimension data in the live video sequencing mode;
and for each live video sequencing mode, sequencing the live videos in an order of high total score to low total score.
4. The method of claim 3, wherein for each live video, determining a score corresponding to each dimension of the live video comprises:
for each dimension data, calculating an average of the dimension data of the plurality of live videos;
for each dimension data of each live video, determining a score corresponding to the dimension data based on a difference between the dimension data and an average value corresponding to the dimension data.
5. The method of claim 2, wherein obtaining the preference of the target account for the live video of the target category according to the plurality of ranking results comprises:
acquiring historical watching behavior data of the target account on the live video of the target category under the plurality of sequencing results;
and determining the preference degree of the target account to the live video of the target category according to the historical watching behavior data.
6. A video recommendation apparatus, comprising:
the system comprises a watching request receiving module, a video watching request receiving module and a video watching request sending by a target terminal and aiming at a target category of live videos, wherein the video watching request carries an account identifier of a target account;
a sorting mode obtaining module configured to execute obtaining of a target sorting mode corresponding to the target account when the target account watches the target category of live videos, wherein when the target sorting mode is adopted to sort a plurality of live videos included in the target category of live videos, a preference degree of the target account for the target category of live videos is greater than a preset threshold;
and the video recommendation module is configured to execute the sequencing of the live videos in the target sequencing mode and send the target live videos with sequencing serial numbers smaller than a preset serial number to the target terminal.
7. The apparatus of claim 6, wherein the ranking mode obtaining module comprises:
the sorting mode acquisition unit is configured to execute acquisition of a plurality of preset live video sorting modes;
the sorting unit is configured to execute sorting of the live videos through the live video sorting modes to obtain a plurality of corresponding sorting results;
and the sorting mode determining unit is configured to execute the steps of acquiring the preference degrees of the target accounts to the live videos of the target categories under the plurality of sorting results, and taking the sorting mode with the preference degree larger than the preset threshold value as the target live video sorting mode.
8. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the video recommendation method of any of claims 1-5.
9. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the steps of the video recommendation method of any of claims 1-5.
10. A computer program product, characterized in that it causes a computer to perform the steps of the video recommendation method according to any one of claims 1-5 when run on the computer.
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