CN108900923B - Method and device for recommending live broadcast template - Google Patents
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- CN108900923B CN108900923B CN201810803645.7A CN201810803645A CN108900923B CN 108900923 B CN108900923 B CN 108900923B CN 201810803645 A CN201810803645 A CN 201810803645A CN 108900923 B CN108900923 B CN 108900923B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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- 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
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
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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
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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
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
Abstract
The disclosure relates to a method and a device for recommending a live broadcast template, and belongs to the technical field of internet. The method comprises the following steps: when a broadcasting request of a target live broadcasting room sent by a terminal is received, determining a target audience type corresponding to the target live broadcasting room stored in advance; determining a target push-optimization live broadcast template corresponding to the target audience type according to a pre-stored corresponding relation between the audience type and the push-optimization live broadcast template; and sending recommendation information to the terminal. By the method provided by the embodiment of the disclosure, the target push-to-live broadcast template corresponding to the target live broadcast room can be determined according to the target audience type of the target live broadcast room. Although each live broadcast template has the characteristics of each live broadcast template, the method and the system can automatically match a suitable target push-to-live broadcast template for the target live broadcast room and recommend the target push-to-live broadcast template.
Description
Technical Field
The disclosure relates to the technical field of internet, in particular to a method and a device for recommending a live broadcast template.
Background
Before live broadcasting, an operator of a main broadcast or a live broadcast room can independently select a live broadcast template used in the live broadcast process. For example, a live template provided with a virtual gift animation component may be selected. When a viewer sends a virtual gift for the anchor, the virtual gift animation component may play a virtual gift animation corresponding to the sent virtual gift. Alternatively, a live template provided with a special identity for the viewer to enter the live room special effect animation component may be selected. When the audience with the special identity marks enters the live broadcast room, special effect animation corresponding to the special identity marks of the audience is played.
In carrying out the present disclosure, the inventors found that at least the following problems exist:
each live broadcast template has the characteristics of each live broadcast template, and operators of anchor or live broadcast rooms select live broadcast templates used in the live broadcast process from the templates through subjective wills, but the selected live broadcast templates are not necessarily suitable for being used in the current live broadcast room.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides the following technical solutions:
according to a first aspect of the embodiments of the present disclosure, a method for recommending a live template is provided, where the method includes:
when a broadcasting request of a target live broadcasting room sent by a terminal is received, determining a target audience type corresponding to the target live broadcasting room stored in advance;
determining a target push-optimization live broadcast template corresponding to the target audience type according to a pre-stored corresponding relationship between the audience type and the push-optimization live broadcast template;
and sending recommendation information to the terminal, wherein the recommendation information is used for indicating that the target push-to-optimize live broadcast template is set and used in the target live broadcast room.
Optionally, the method further comprises:
acquiring account data information of a plurality of audience accounts associated with the target live broadcast room;
and determining a target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
Optionally, the method further comprises:
obtaining behavior statistics of a plurality of audience accounts associated with the target live broadcast room;
and determining a target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
Optionally, the method further comprises:
acquiring a plurality of live broadcast templates in a live broadcast template library;
determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template;
and determining the live broadcast template corresponding to each highest statistical value as a push-optimization live broadcast template.
Optionally, the attribute parameters include one or more of revenue, average frequency of interaction between the viewer and the anchor, average score of the viewer scoring the live template, user retention rate, average liveness of the viewer per day.
According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for recommending a live template, the apparatus including:
the first determining module is used for determining a target audience type corresponding to a target live broadcast room stored in advance when a broadcast request of the target live broadcast room sent by a terminal is received;
the second determination module is used for determining a target push-optimal live broadcast template corresponding to the target audience type according to the pre-stored corresponding relation between the audience type and the push-optimal live broadcast template;
and the sending module is used for sending recommendation information to the terminal, wherein the recommendation information is used for indicating that the target push-preferred live broadcast template is set and used in the target live broadcast room.
Optionally, the apparatus further comprises:
the first acquisition module is used for acquiring account data information of a plurality of audience accounts associated with the target live broadcast room;
and the third determining module is used for determining the target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring behavior statistics of a plurality of audience accounts associated with the target live broadcast room;
and the fourth determining module is used for determining the target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
Optionally, the apparatus further comprises:
the third acquisition module is used for acquiring a plurality of live broadcast templates in the live broadcast template library;
the fifth determining module is used for determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template;
and the sixth determining module is used for determining the live broadcast template corresponding to each highest statistic value as a push-to-optimize live broadcast template.
Optionally, the attribute parameters include one or more of revenue, average frequency of interaction between the viewer and the anchor, average score of the viewer scoring the live template, user retention rate, average liveness of the viewer per day.
According to a third aspect of embodiments of the present disclosure, there is provided a server comprising a processor, a communication interface, a memory, and a communication bus, wherein:
the processor, the communication interface and the memory complete mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is used for executing the program stored in the memory so as to realize the method for recommending the live broadcast template.
According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the above method for recommending a live template.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
by the method provided by the embodiment of the disclosure, the target push-to-live broadcast template corresponding to the target live broadcast room can be determined according to the target audience type of the target live broadcast room. Although each live broadcast template has the characteristics of each live broadcast template, the method and the system can automatically match a suitable target push-to-live broadcast template for the target live broadcast room and recommend the target push-to-live broadcast template.
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. In the drawings:
FIG. 1 is a flow diagram illustrating a method of recommending live templates in accordance with an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a label replacement according to an exemplary embodiment;
FIG. 3 is a block diagram illustrating an apparatus for recommending live templates in accordance with an exemplary embodiment;
fig. 4 is a schematic diagram illustrating a server architecture according to an example embodiment.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
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.
The embodiment of the disclosure provides a method for recommending a live broadcast template, which can be realized by a server.
The server may include a processor, memory, etc. The processor, which may be a CPU (Central Processing Unit), may be configured to determine a target audience type corresponding to a target live broadcast room stored in advance when receiving a broadcast request of the target live broadcast room sent by the terminal, and perform other Processing. The Memory may be a RAM (Random Access Memory), a Flash (Flash Memory), etc., and may be configured to store received data, data required by the processing procedure, data generated in the processing procedure, etc., such as the type of the target audience.
The server may also include a transceiver or the like. And a transceiver, which may be used for data transmission with the terminal, and which may include a bluetooth component, a WiFi (Wireless-Fidelity) component, an antenna, a matching circuit, a modem, and the like.
An exemplary embodiment of the present disclosure provides a method for recommending a live template, and as shown in fig. 1, a processing flow of the method may include the following steps:
and step S110, when a broadcasting request of a target live broadcast room sent by a terminal is received, determining a target audience type corresponding to the target live broadcast room stored in advance.
In implementation, when the anchor wants to perform live broadcasting activities, an option for starting live broadcasting can be selected from a live broadcasting application program in the mobile phone, so that the mobile phone can detect a broadcasting instruction, generate a broadcasting request of a target live broadcasting room, and send the broadcasting request of the target live broadcasting room to the server. And when receiving a broadcasting request of a target live broadcasting room sent by the terminal, the server determines a target audience type corresponding to the target live broadcasting room stored in advance.
In application, if the live template M is provided with activity components related to children's activities, it is likely that the live template M is popular with children's audiences, and there are many children's audiences watching live videos in the live room using the live template M. If live broadcast template N is provided with active components which are bright in visual sense, the live broadcast template N is likely to be popular with female audiences, and the female audiences watching live broadcast videos in a live broadcast room using the live broadcast template N are more. By analogy, different viewer types may be interested in different live templates to varying degrees.
Thus, the server can count what target audience type is more in the target live room.
Optionally, the method provided by the embodiment of the present disclosure may further include: acquiring account data information of a plurality of audience accounts associated with a target live broadcast room; and determining a target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
In practice, each live room has a portion of the audience account that is concerned with the live room, and this portion of the audience is likely to enter the live room frequently to watch the live. The server may obtain account profile information for a plurality of viewer accounts associated with the target live broadcast room. Personal information of the audience account, such as sex, age, wealth value consumed on the platform, favorite music, favorite movies, occupation, and the like, may be recorded in the account profile information. The server can count which type of audience accounts account for the ratio of the audience accounts associated with the target live broadcast room to be larger than a preset threshold value, such as 70%, and take the audience types meeting the conditions as the target audience types corresponding to the target live broadcast room. For example, 1 ten thousand people pay attention to the live broadcast room a, and if the female audience accounts for 72% of the 1 ten thousand people, the target audience type corresponding to the live broadcast room a is determined to be female audience.
Optionally, the method provided by the embodiment of the present disclosure may further include: acquiring behavior statistics of a plurality of audience accounts associated with a target live broadcast room; and determining a target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
In practice, each live room has a portion of the audience account that is concerned with the live room, and this portion of the audience is likely to enter the live room frequently to watch the live. The server may obtain behavior statistics for a plurality of viewer accounts associated with the target live broadcast room. The behavior statistics comprise consumption behavior statistics of the audience accounts in the live broadcast room, interaction behavior statistics with the anchor, speaking behavior statistics, daily average watching live broadcast duration statistics and the like. The server can count which type of audience accounts account for the ratio of the audience accounts associated with the target live broadcast room to be larger than a preset threshold value, such as 70%, and take the audience types meeting the conditions as the target audience types corresponding to the target live broadcast room. For example, most audiences like speaking in the live broadcast room B and like interacting with the anchor and other audiences, and the atmosphere of the live broadcast room is suitable for enabling the family to interact with each other, so that the type of the target audience corresponding to the live broadcast room B can be the speaking type audience, and when recommending the target to optimize the live broadcast template, the target recommendation module can recommend the live broadcast template which can enable all people to interact more.
And step S120, determining a target push-optimal live broadcast template corresponding to the target audience type according to the pre-stored corresponding relation between the audience type and the push-optimal live broadcast template.
In implementation, a correspondence list including push-preferred live broadcast templates respectively corresponding to different audience types may be stored in the server in advance, so that a target push-preferred live broadcast template corresponding to a target audience type may be determined based on the correspondence list. The corresponding relation between the audience type and the optimized live broadcast template can be calibrated in a calibration mode.
And step S130, sending recommendation information to the terminal, wherein the recommendation information is used for indicating that a target push-to-play live broadcast template is set and used in a target live broadcast room.
In implementation, after the server determines a target push-optimization live broadcast template corresponding to a target audience type, recommendation information can be sent to the terminal, so that the target push-optimization live broadcast template suitable for being used by a target live broadcast room is recommended to an anchor broadcast live broadcast room or live broadcast room operators.
Optionally, the method provided by the embodiment of the present disclosure may further include: acquiring a plurality of live broadcast templates in a live broadcast template library; determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template; and determining the live broadcast template corresponding to each highest statistical value as a push-optimization live broadcast template. The attribute parameters may include, but are not limited to, one or more of revenue, average interaction frequency of the viewer and the anchor, average score of the viewer scoring the live template, user retention rate, average liveness of the viewer per day.
The live template library is stored with a large number of live templates, the live templates can be configured by operators of different anchor broadcasters or live rooms, and after configuration, the live templates can be marked, so that the live templates can be conveniently searched, and the function of each live template can be conveniently known.
First, the anchor or operator may configure the live template autonomously. And then, when the terminal detects that the configuration of the live broadcast template is completed, sending out prompt information for prompting the addition of the label to the live broadcast template. In the prompt message, a plurality of reference tag vocabularies can be provided for the anchor or the operator, and the anchor or the operator in the live broadcast room can select one or more tags as live broadcast templates from the plurality of reference tag vocabularies according to personal wishes. The tag of the selected one or more live templates may be the first tag of the live template. When the terminal detects that the live broadcast template is subjected to labeling operation, a first label of the live broadcast template is obtained, and the live broadcast template and the corresponding first label are uploaded to the server.
Then, the server may determine a first attribute parameter and a first numerical condition corresponding to the first tag according to a correspondence relationship between the pre-stored tag, the attribute parameter of the live broadcast room, and the numerical condition.
In implementation, in order to verify whether the first tag can accurately describe the effect achieved by the live broadcast template, whether the first tag is accurate or not can be verified in a manner of counting the use data of the live broadcast room.
The tags may include one or more of increasing revenue, increasing average interaction frequency of the audience and the anchor, increasing average score of the audience scoring the live template, and increasing user retention rate.
If the live broadcast template with the tag of 'increasing revenues' is marked, the effect of increasing revenues is not achieved in practice, and then the tag of 'increasing revenues' is inaccurate.
The corresponding relation among the labels, the attribute parameters of the live broadcast rooms and the numerical conditions can be established in the server, and the accuracy of the first label is verified through the attribute parameters of the live broadcast rooms and the numerical conditions according to the content of the first label. For example, if the first tag is "increase revenue", the determined attribute parameter of the live room is "revenue value", and the numerical condition is "proportional increase" or "daily revenue increase exceeds a revenue threshold".
Then, the server can obtain the statistics value of the first attribute parameter in the live broadcast room using the live broadcast template, and if the statistics value of the first attribute parameter does not meet the first value condition, first prompt information is sent to a first terminal logged in a target account uploading the live broadcast template.
The first prompt message is used for indicating that the live broadcast template is not matched with the first label.
In implementation, the server may count in advance what the revenue value B is in a certain time range when the live broadcast template with the first tag of "increase revenue" is not used in the live broadcast room a, and what the revenue value C is in the same time range after the live broadcast template with the first tag of "increase revenue" is used in the live broadcast room a. And determining whether the variation relation between the revenue value B and the revenue value C is increased according to the direct proportion relation. If yes, the first label can accurately describe the effect achieved by the live template, and the first label is accurate. If not, the first tag cannot accurately describe the effect achieved by the live template, and the first tag is inaccurate. Then, the server can determine a target account for uploading the live broadcast template, send first prompt information to a first terminal where the target account logs in, so as to prompt an anchor for uploading the live broadcast template or an operator that the first tag cannot accurately describe the effect achieved by the live broadcast template, and suggest the anchor for uploading the live broadcast template or the operator to replace the first tag. Or the server may change the first tag and send first prompt information to the first terminal where the target account logs in, so as to notify the anchor who uploads the live template or an operator that the first tag cannot accurately describe the effect achieved by the live template, and the first tag is changed.
Optionally, the method provided by the embodiment of the present disclosure may further include: acquiring numerical conditions corresponding to the attribute parameters included in the corresponding relationship; acquiring statistics of various attribute parameters in a live broadcast room using a live broadcast template; if the statistical value of the second attribute parameter in the statistical values of the attribute parameters meets a second numerical condition corresponding to the second attribute parameter, determining a second label corresponding to the second attribute parameter according to the corresponding relationship; the first prompt is also used to indicate that the first label is replaced with the second label.
In implementation, if the first tag is inaccurate, the method provided by the embodiment of the disclosure can be used to determine the more accurate second tag, and replace the first tag with the second tag. The numerical conditions corresponding to the attribute parameters included in the correspondence relationship may all be determined, for example, the first tag of the live template M is "increase revenue", but the live template M cannot bring about the effect of increasing revenue. Therefore, the live broadcast template M can be determined from other effects, and the effect that the live broadcast template M can actually achieve can be found. It can be counted how much average liveness of audience is each day when live broadcast template M is not used in live broadcast room A, and how much average liveness of audience is each day after live broadcast template M is used in live broadcast room A. It can be determined whether the average liveness of the viewer per day has changed, and if so, what the change is, before and after the live template M is used. As shown in fig. 2, if the average liveness of the viewers per day increases after using the live template M, it can be determined that the live template M can improve the average liveness of the viewers per day. Further, the live template M may be tagged with a second label that "increases the average liveness of viewers per day".
In addition to the average liveness of the audience every day, statistics of other attribute parameters of the live broadcast template M can be counted, and if the statistics of the second attribute parameter in the statistics of the attribute parameters satisfy a second numerical condition corresponding to the second attribute parameter, a second label corresponding to the second attribute parameter can be determined according to the corresponding relationship.
Optionally, determining the highest statistics value corresponding to each attribute parameter in the statistics values of each attribute parameter in the live broadcast room using each live broadcast template; determining a push excellent live broadcast template corresponding to each highest statistical value and a label of each push excellent live broadcast template; and when a template query request sent by the terminal is received, sending the determined push-preferred live broadcast template and the label of each push-preferred live broadcast template to the terminal.
In implementation, it can be generalized for some good live templates. The method of determining a push live template will be described below. For each attribute parameter, the server can count a preset number of push live broadcast templates with the highest statistical value. For example, 100 live templates uploaded by different accounts are stored in the server. For revenue, after the live template A, the live template B, the live template C, the live template D and the live template E in the 100 live templates are used in different live rooms, the revenue is increased more than that of the live rooms using the other live templates. Therefore, it can be determined that the live template a, the live template B, the live template C, the live template D, and the live template E are push live templates for revenue. The live template A, the live template B, the live template C, the live template D, the live template E and the corresponding tags 'increase revenue' can be popularized to the live clients.
Thus, for the anchor or the operator who wants to increase revenues but does not know how to design the live broadcast template to increase revenues, the live broadcast template A, the live broadcast template B, the live broadcast template C, the live broadcast template D and the live broadcast template E popularized by the server can be used.
Further, after determining the push live templates, the audience type matching each push live template may be determined. For example, the function of the push live template is to promote the audience to speak, and the push live template may be recommended to a live room with a large speaking amount.
Besides the situation of increasing revenues, for other purposes, the anchor or the operator can also find the optimal live broadcast template required by the anchor or the operator in a tag searching mode.
By the method provided by the embodiment of the disclosure, the first attribute parameter and the first numerical condition corresponding to the first label can be determined according to the pre-stored corresponding relationship among the label, the attribute parameter of the live broadcast room and the numerical condition. When the statistic value of the first attribute parameter does not meet the first value condition, first prompt information used for indicating that the live broadcast template is not matched with the first label can be sent to a first terminal logged in a target account for uploading the live broadcast template. Therefore, statistics of the first attribute parameters can be counted through the server, whether the first label is suitable or not is determined according to the actual using effect of the live template, and corresponding prompt is performed under the unsuitable condition. Furthermore, the accuracy of the label of the live template can be guaranteed.
Yet another exemplary embodiment of the present disclosure provides an apparatus for recommending a live template, as shown in fig. 3, the apparatus including:
the first determining module 310 is configured to determine a target audience type corresponding to a pre-stored target live broadcast room when a broadcast request of the target live broadcast room sent by a terminal is received;
a second determining module 320, configured to determine, according to a pre-stored correspondence between an audience type and a pushed-preferred live broadcast template, a target pushed-preferred live broadcast template corresponding to the target audience type;
a sending module 330, configured to send recommendation information to the terminal, where the recommendation information is used to indicate that the target push-preferred live broadcast template is set and used in the target live broadcast room.
Optionally, the apparatus further comprises:
the first acquisition module is used for acquiring account data information of a plurality of audience accounts associated with the target live broadcast room;
and the third determining module is used for determining the target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring behavior statistics of a plurality of audience accounts associated with the target live broadcast room;
and the fourth determining module is used for determining the target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
Optionally, the apparatus further comprises:
the third acquisition module is used for acquiring a plurality of live broadcast templates in the live broadcast template library;
the fifth determining module is used for determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template;
and the sixth determining module is used for determining the live broadcast template corresponding to each highest statistic value as a push-to-optimize live broadcast template.
Optionally, the attribute parameters include one or more of revenue, average frequency of interaction between the viewer and the anchor, average score of the viewer scoring the live template, user retention rate, average liveness of the viewer per day.
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.
Through the device provided by the embodiment of the disclosure, the target push-to-play live broadcast template corresponding to the target live broadcast room can be determined according to the target audience type of the target live broadcast room. Although each live broadcast template has the characteristics of each live broadcast template, the method and the system can automatically match a suitable target push-to-live broadcast template for the target live broadcast room and recommend the target push-to-live broadcast template.
It should be noted that: in the apparatus for recommending a live template provided in the above embodiment, when setting a tag of the live template, only the division of each function module is used for illustration, and in practical applications, the function distribution may be completed by different function modules as needed, that is, the internal structure of the server is divided into different function modules to complete all or part of the functions described above. In addition, the device for recommending the live broadcast template and the method embodiment for recommending the live broadcast template provided by the embodiment belong to the same concept, and the specific implementation process is described in the method embodiment in detail and is not described herein again.
Fig. 4 shows a schematic structural diagram of a server 1900 provided in an exemplary embodiment of the present disclosure. The server 1900 may have a large difference due to different configurations or performances, and may include one or more processors (CPUs) 1910 and one or more memories 1920. The memory 1920 has stored therein at least one instruction, which is loaded and executed by the processor 1910 to implement the method for recommending a live template according to the above embodiments.
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 (8)
1. A method of recommending live templates, the method comprising:
when a broadcasting request of a target live broadcasting room sent by a terminal is received, determining a target audience type corresponding to the target live broadcasting room stored in advance;
determining a target push-optimization live broadcast template corresponding to the target audience type according to a pre-stored corresponding relationship between the audience type and the push-optimization live broadcast template;
sending recommendation information to the terminal, wherein the recommendation information is used for indicating that the target push-to-optimize live broadcast template is set and used in the target live broadcast room;
the determination method of the push-optimization live template comprises the following steps:
acquiring a plurality of live broadcast templates included in a live broadcast template library; determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template; determining the live broadcast template corresponding to each highest statistical value as a push-optimization live broadcast template; the attribute parameters comprise one or more of earnings, average interaction frequency of audiences and anchor, average score of the audiences scoring the live broadcast template, user retention rate and average activity of the audiences every day;
the live broadcast template comprises a first label, the first label is obtained when the terminal detects the operation of a technician for marking the live broadcast template, and the label of the live broadcast template is used for expressing the function of the live broadcast template; when a live broadcast template and a corresponding first label sent by the terminal are received, determining a first attribute parameter and a first numerical condition corresponding to the first label according to a pre-stored corresponding relation among the label, an attribute parameter of a live broadcast room and the numerical condition, acquiring a statistical value of the first attribute parameter in the live broadcast room using the live broadcast template, and acquiring the numerical condition corresponding to each attribute parameter in the corresponding relation if the statistical value of the first attribute parameter does not meet the first numerical condition; acquiring statistics of various attribute parameters in a live broadcast room using the live broadcast template; and if the statistics of the second attribute parameters in the statistics of the attribute parameters meet the second numerical condition corresponding to the second attribute parameters, determining a second label corresponding to the second attribute parameters according to the corresponding relation, and replacing the first label corresponding to the live broadcast template with the second label.
2. The method of claim 1, further comprising:
acquiring account data information of a plurality of audience accounts associated with the target live broadcast room;
and determining a target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
3. The method of claim 1, further comprising:
obtaining behavior statistics of a plurality of audience accounts associated with the target live broadcast room;
and determining a target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
4. An apparatus for recommending live templates, the apparatus comprising:
the first determining module is used for determining a target audience type corresponding to a target live broadcast room stored in advance when a broadcast request of the target live broadcast room sent by a terminal is received;
the second determination module is used for determining a target push-optimal live broadcast template corresponding to the target audience type according to the pre-stored corresponding relation between the audience type and the push-optimal live broadcast template;
the sending module is used for sending recommendation information to the terminal, wherein the recommendation information is used for indicating that the target push-preferred live broadcast template is set and used in the target live broadcast room;
the replacing module is used for acquiring a plurality of live broadcast templates included in the live broadcast template library; determining the highest statistical value corresponding to each attribute parameter in the statistical values of at least one attribute parameter in the live broadcast room using each live broadcast template; determining the live broadcast template corresponding to each highest statistical value as a push-optimization live broadcast template; the attribute parameters comprise one or more of earnings, average interaction frequency of audiences and anchor, average score of the audiences scoring the live broadcast template, user retention rate and average activity of the audiences every day; the tags of the live broadcast template comprise first tags, the first tags are obtained when the terminal detects that technicians perform tagging operation on the live broadcast template, and the tags of the live broadcast template are used for representing functions of the live broadcast template; when a live broadcast template and a corresponding first label sent by the terminal are received, acquiring a statistical value of the first attribute parameter in a live broadcast room using the live broadcast template according to a pre-stored label, a corresponding relation of the attribute parameter of the live broadcast room and a numerical condition, and acquiring the numerical condition corresponding to each attribute parameter in the corresponding relation if the statistical value of the first attribute parameter does not meet the first numerical condition; acquiring statistics of various attribute parameters in a live broadcast room using the live broadcast template; and if the statistics of the second attribute parameters in the statistics of the attribute parameters meet the second numerical condition corresponding to the second attribute parameters, determining a second label corresponding to the second attribute parameters according to the corresponding relation, and replacing the first label corresponding to the live broadcast template with the second label.
5. The apparatus of claim 4, further comprising:
the first acquisition module is used for acquiring account data information of a plurality of audience accounts associated with the target live broadcast room;
and the third determining module is used for determining the target audience type corresponding to the target live broadcast room based on the account data information of the plurality of audience accounts.
6. The apparatus of claim 4, further comprising:
the second acquisition module is used for acquiring behavior statistics of a plurality of audience accounts associated with the target live broadcast room;
and the fourth determining module is used for determining the target audience type corresponding to the target live broadcast room based on the behavior statistics of the plurality of audience accounts.
7. A server, comprising a processor, a communication interface, a memory, and a communication bus, wherein:
the processor, the communication interface and the memory complete mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is configured to execute the program stored in the memory to implement the method steps of any of claims 1-3.
8. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of the claims 1-3.
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Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110072116A (en) * | 2019-05-06 | 2019-07-30 | 广州虎牙信息科技有限公司 | Virtual newscaster's recommended method, device and direct broadcast server |
| CN110536159A (en) * | 2019-08-29 | 2019-12-03 | 广州虎牙科技有限公司 | User classification method, device, computer equipment and storage medium |
| CN110475158B (en) * | 2019-08-30 | 2022-01-18 | 北京字节跳动网络技术有限公司 | Video learning material providing method and device, electronic equipment and readable medium |
| CN110769270B (en) * | 2019-11-08 | 2021-10-26 | 网易（杭州）网络有限公司 | Live broadcast interaction method and device, electronic equipment and storage medium |
| CN111314719A (en) * | 2020-01-22 | 2020-06-19 | 北京达佳互联信息技术有限公司 | Live broadcast auxiliary method and device, electronic equipment and storage medium |
| WO2022070908A1 (en) * | 2020-09-29 | 2022-04-07 | 株式会社ドワンゴ | Video distribution device, video distribution method, and recording medium |
| CN112492329B (en) * | 2020-10-29 | 2023-06-20 | 北京达佳互联信息技术有限公司 | Live broadcast method and device |
| WO2022165664A1 (en) * | 2021-02-03 | 2022-08-11 | 百果园技术(新加坡)有限公司 | Live broadcast interface display method and apparatus, terminal, server, and storage medium |
| CN112969087B (en) * | 2021-03-15 | 2022-11-01 | 北京城市网邻信息技术有限公司 | Information display method, client, electronic equipment and storage medium |
| CN115086689B (en) * | 2021-03-15 | 2024-04-05 | 阿里巴巴创新公司 | Virtual live broadcast management method, electronic equipment and computer storage medium |
| CN113254784A (en) * | 2021-06-18 | 2021-08-13 | 北京达佳互联信息技术有限公司 | Information display method and device, electronic equipment and storage medium |
| CN113473017A (en) * | 2021-07-01 | 2021-10-01 | 北京字跳网络技术有限公司 | Image processing method, device, equipment and storage medium |
| CN113709507B (en) * | 2021-07-28 | 2023-09-05 | 北京达佳互联信息技术有限公司 | Video recommendation method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016082281A1 (en) * | 2014-11-26 | 2016-06-02 | 广州华多网络科技有限公司 | Video studio creating method and service device |
| CN106331826A (en) * | 2016-08-17 | 2017-01-11 | 广州华多网络科技有限公司 | Method, device and system for setting live broadcast template and video mode |
| CN107924414A (en) * | 2015-09-16 | 2018-04-17 | 英特尔公司 | Promote to carry out multimedia integration at computing device and the personal of story generation aids in |
| CN108073671A (en) * | 2017-04-12 | 2018-05-25 | 北京市商汤科技开发有限公司 | Business object recommends method, apparatus and electronic equipment |
| CN108076353A (en) * | 2017-05-18 | 2018-05-25 | 北京市商汤科技开发有限公司 | Business object recommends method, apparatus, storage medium and electronic equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103945236B (en) * | 2014-03-31 | 2017-05-17 | 广州华多网络科技有限公司 | Gathering method and system of on-line live channels |
| CN105872635A (en) * | 2015-12-16 | 2016-08-17 | 乐视云计算有限公司 | Video resource distribution method and device |
| CN107018450A (en) * | 2017-03-17 | 2017-08-04 | 北京潘达互娱科技有限公司 | A kind of page display method and device |
-
2018
- 2018-07-20 CN CN201810803645.7A patent/CN108900923B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016082281A1 (en) * | 2014-11-26 | 2016-06-02 | 广州华多网络科技有限公司 | Video studio creating method and service device |
| CN107924414A (en) * | 2015-09-16 | 2018-04-17 | 英特尔公司 | Promote to carry out multimedia integration at computing device and the personal of story generation aids in |
| CN106331826A (en) * | 2016-08-17 | 2017-01-11 | 广州华多网络科技有限公司 | Method, device and system for setting live broadcast template and video mode |
| CN108073671A (en) * | 2017-04-12 | 2018-05-25 | 北京市商汤科技开发有限公司 | Business object recommends method, apparatus and electronic equipment |
| CN108076353A (en) * | 2017-05-18 | 2018-05-25 | 北京市商汤科技开发有限公司 | Business object recommends method, apparatus, storage medium and electronic equipment |
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