CN108900924B - Method and device for recommending friends in live broadcast room - Google Patents
Method and device for recommending friends in live broadcast room Download PDFInfo
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- CN108900924B CN108900924B CN201810804457.6A CN201810804457A CN108900924B CN 108900924 B CN108900924 B CN 108900924B CN 201810804457 A CN201810804457 A CN 201810804457A CN 108900924 B CN108900924 B CN 108900924B
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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
- H04N21/44213—Monitoring of end-user related data
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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 friends in a live broadcast room, and belongs to the technical field of internet. The method comprises the following steps: determining a target behavior attribute parameter and a target numerical condition corresponding to a target label according to a pre-stored corresponding relation between the label of the live broadcast component and the behavior attribute parameter and numerical condition of the audience account; in a live broadcast room using a live broadcast component corresponding to a target label, determining statistics of target behavior attribute parameters of each audience account, and determining at least two audience accounts of which the statistics meet a target value condition; and respectively sending friend recommendation messages to the terminals logged in by the at least two audience accounts. By adopting the method and the device, the friends can be automatically recommended, and the possibility of adding friends in different audience accounts is increased. And then different audience accounts with friends can interact through the live broadcast application program, and the utilization rate of the instant messaging function in the live broadcast application program is improved.
Description
Technical Field
The disclosure relates to the technical field of internet, in particular to a method and a device for recommending friends in a live broadcast room.
Background
With the rapid development of the live market, more and more viewers choose to watch live video as a leisure mode. Generally, when different audiences enter the same live broadcast room and interact in the same live broadcast room, if any audience in the audiences who interact wants to add other audiences who interact as friends, the information of the other audiences can be clicked, and the option that the other audience is friends is clicked in the information page.
In carrying out the present disclosure, the inventors found that at least the following problems exist:
the manner of actively selecting to add friends is single, so that the instant messaging function in the live application program cannot be fully utilized.
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 friends in a live broadcast room is provided, where the method includes:
determining a target behavior attribute parameter and a target numerical condition corresponding to a target label according to a pre-stored corresponding relation between the label of the live broadcast component and the behavior attribute parameter and numerical condition of the audience account;
in a live broadcast room using a live broadcast component corresponding to the target label, determining statistics of the target behavior attribute parameters of each audience account, and determining at least two audience accounts of which the statistics meet the target value condition;
and sending friend recommendation messages to terminals logged in by the at least two audience accounts respectively, wherein each friend recommendation message carries identification information of other audience accounts except the audience account corresponding to the friend recommendation message in the at least two audience accounts.
Optionally, before determining the target behavior attribute parameter and the target numerical condition corresponding to the target tag according to a pre-stored correspondence between the tag of the live broadcast component and the behavior attribute parameter and the numerical condition of the audience account, the method further includes:
for each live broadcast component in a component database, acquiring a first label of the live broadcast component; determining a first attribute parameter and a first numerical condition corresponding to the first label according to a pre-stored corresponding relationship among the label, the attribute parameter of the live broadcast room and the numerical condition; obtaining statistics of the first attribute parameter in a live broadcast room using the live broadcast component, if the statistics of the first attribute parameter does not meet the first numerical condition, determining that the first label is not matched with the live broadcast component, and sending prompt information.
Optionally, the method further comprises:
acquiring numerical conditions corresponding to the attribute parameters included in the corresponding relationship;
acquiring statistics of the attribute parameters in a live broadcast room using a live broadcast assembly which is not matched with the first label;
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 of the live broadcast assembly with the second label.
Optionally, the live components include one or more of a video component, a public screen component, a presentation component, a gift component, a data card component, a likes component, a barrage component, an attention component, and a special identity audience approach effect animation component.
Optionally, the tags include one or more of increasing revenues, increasing average frequency of interaction between the audience and the anchor, increasing user retention, increasing average liveness of the audience per day.
According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for recommending friends in a live broadcast room, the apparatus including:
the determining module is used for determining a target behavior attribute parameter and a target numerical condition corresponding to a target label according to a pre-stored corresponding relation among the label of the live broadcast component, the behavior attribute parameter of the audience account and the numerical condition;
the determining module is further configured to determine statistics of the target behavior attribute parameter of each audience account in a live broadcast room using a live broadcast component corresponding to the target tag, and determine at least two audience accounts whose statistics satisfy the target value condition;
and the sending module is used for respectively sending friend recommendation messages to the terminals logged in by the at least two audience accounts, wherein each friend recommendation message carries identification information of other audience accounts except the audience account corresponding to the friend recommendation message in the at least two audience accounts.
Optionally, the apparatus further comprises:
and the prompt module is used for acquiring a first label of the live broadcast assembly for each live broadcast assembly in the assembly database, determining a first attribute parameter and a first numerical condition corresponding to the first label according to the corresponding relation among pre-stored labels, attribute parameters and numerical conditions of the live broadcast room, acquiring and using the statistical value of the first attribute parameter in the live broadcast room of the live broadcast assembly, and if the statistical value of the first attribute parameter does not satisfy the first numerical condition, determining that the first label is not matched with the live broadcast assembly and sending prompt information.
Optionally, the apparatus further comprises:
an obtaining module, configured to obtain a numerical condition corresponding to each attribute parameter included in the correspondence; acquiring statistics of the attribute parameters in a live broadcast room using a live broadcast assembly which is not matched with the first label;
the determining module is further configured to determine a second label corresponding to a second attribute parameter according to the correspondence when 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, and replace the first label of the live broadcast component with the second label.
Optionally, the live components include one or more of a video component, a public screen component, a presentation component, a gift component, a data card component, a likes component, a barrage component, an attention component, and a special identity audience approach effect animation component.
Optionally, the tags include one or more of increasing revenues, increasing average frequency of interaction between the audience and the anchor, increasing user retention, increasing average liveness of the audience 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 friends in the live broadcast room.
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 when the computer program is executed by a processor, the computer program implements the method for recommending friends in a live broadcast room.
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 statistics of the target behavior attribute parameters of each audience account can be determined in the live broadcast room using the live broadcast component corresponding to the target tag, and at least two audience accounts with the statistics meeting the target value condition are determined. Thus, at least two viewer accounts belong to the same class of viewers having similar attributes, which are more likely to be friends. By adopting the method provided by the embodiment of the disclosure, friends can be automatically recommended, and the possibility of adding friends in different audience accounts is increased. And then different audience accounts with friends can interact through the live broadcast application program, and the utilization rate of the instant messaging function in the live broadcast application program is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a method of recommending friends in a live broadcast room according to an exemplary embodiment;
FIG. 2 is a diagram illustrating a recommended friends interface according to an example embodiment;
fig. 3 is a schematic structural diagram illustrating an apparatus for recommending friends in a live broadcast room according to 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 friends in a live broadcast room, which can be realized by the cooperation of a terminal and a server. The terminal can be a mobile phone, a tablet computer, a desktop computer, a notebook computer and the like.
The server may include a processor, memory, etc. The processor, which may be a Central Processing Unit (CPU), may be configured to determine a statistic of the target behavior attribute parameter of each viewer account, determine at least two viewer accounts whose statistics satisfy a target value condition, and the like in a live broadcast room using a live broadcast component corresponding to the target tag. The Memory may be a RAM (Random Access Memory), a Flash Memory, or the like, and may be configured to store received data, data required by the processing procedure, data generated in the processing procedure, or the like, such as a tag of a live component, a correspondence between behavior attribute parameters of a viewer account and a numerical condition, or the like.
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 friend in a live broadcast room, as shown in fig. 1, a processing flow of the method may include the following steps:
and step S110, determining target behavior attribute parameters and target numerical conditions corresponding to target labels according to the pre-stored corresponding relations among the labels of the live broadcast components, the behavior attribute parameters of the audience accounts and the numerical conditions.
In implementation, when different audiences enter the same live broadcast room and interact in the same live broadcast room, if any audience in the audiences who interact wants to add other audiences who interact as friends, the information of the other audiences can be clicked, and an option that the other audience is friends is clicked in the information page. The method is a method for adding friends in a live broadcast room, and belongs to a method for actively adding friends.
In the live broadcast application program, if a friend is added to the audience in a recommendation mode, the live broadcast application program is rarely associated with the mobile phone number address book in the terminal, so that the friend recorded in the mobile phone number address book is not feasible in a common recommendation mode. Therefore, the method for recommending the friends in the live broadcast room is provided by the embodiment of the disclosure and can be applied to a server.
First, some function points related to the live broadcast room can be abstracted into a relatively independent live broadcast component (the requirement of the live broadcast service of the live broadcast application program can be a combination of abstracting the live broadcast room into the live broadcast components, and the service requirement of the live broadcast application program can be a refinement of the live broadcast room with the granularity of the live broadcast components). The high cohesion in the live subassembly, the low coupling between the live subassembly can be guaranteed in the in-process of the live subassembly of design. Different live components are not strongly associated, the abstracted live components can be packaged and uniformly stored in a live component library.
The anchor or the operator can configure the live broadcast template autonomously, namely, the required live broadcast components are added into the live broadcast template. Background personnel can mark corresponding first labels for different live broadcast components, and the content of the first label can embody the effect that the live broadcast component can expect to reach. Like this, when the live template is being independently configured to anchor or live room operator, can look for live subassembly according to first label to select the live subassembly that satisfies oneself demand.
The live broadcast components can comprise different types of live broadcast components, such as a video component, a public screen component, a speaking component, a gift component, a data card component, a praise component, a bullet screen component, an attention component, a special identity audience approach special effect animation component, a big gift special effect component, a stream light component and the like. These live components can be categorized by the dimensions of whether revenue is generated as a dimension, the scene used, the frequency of use, etc. For example, the division is performed according to the dimension of whether revenue is generated: the revenue component can comprise a gift component, a special identity audience entrance special effect animation component, a big gift special effect component, a streamer component and the like; the non-revenue components may include video components, public screen components, speech components, barrage components, and the like. Dividing according to the used scenes: the activity component may include an activity bar, etc.; the play components may include a cheerful bucket component, a disappearing music component, and the like. The division is performed according to the frequency used: the base component may include a video component, a public screen component, a talk component, etc.; non-base components may include a likes component, a barracks component, a gifts component, and the like.
Then, because the label of the live broadcast component reflects the effect that the live broadcast component can be expected to reach, a certain audience of which the live broadcast component can play the expected effect can be searched according to the label of the live broadcast component. Thus, such viewers have a common interest in the same type of tag and belong to the same type of viewers with similar attributes, and such viewers are more likely to be friends. Even after such viewers become friends, the frequency of interaction with each other is relatively high. In practice, it can be verified which audience of a certain type can play the expected effect by selecting the behavior attribute parameters of the audience account corresponding to the label of the live broadcast component.
Because the behavior attribute parameters of the audience accounts are of a plurality of types, if the label of the live component is 'increase revenue', the behavior attribute parameters of the audience accounts are payment behavior parameters, and if the label of the live component is 'increase average activity of the audience every day', the behavior attribute parameters of the audience accounts are the activity of the audience accounts every day, and the like.
The tags of the live components may include one or more of increasing revenues, increasing average frequency of interaction between the audience and the anchor, increasing user retention, increasing average liveness of the audience per day, and the behavior attribute parameters of the corresponding audience accounts may also include one or more.
The target behavior attribute parameters and the target numerical conditions corresponding to the target tags can be determined according to the pre-stored corresponding relations among the tags of the live broadcast components, the behavior attribute parameters of the audience accounts and the numerical conditions.
Step S120, in the live broadcast room using the live broadcast component corresponding to the target label, determining the statistic value of the target behavior attribute parameter of each audience account, and determining at least two audience accounts of which the statistic value meets the target value condition.
In an implementation, all live rooms that use live components corresponding to template tags may be determined, with a large number of viewer accounts in all live rooms. Statistics of the target behavior attribute parameters for each viewer account may be determined. For example, statistics of payment behavior parameters for each viewer account may be determined, and payment amounts for each viewer account may be determined. It should be noted that the payment amount is an amount within a time period corresponding to the live component corresponding to the target tag, that is, the payment amount of each audience account after the live component corresponding to the target tag is used is counted. Next, at least two viewer accounts whose statistics satisfy the target value condition may be determined. For example, at least two audience accounts with the payment amount larger than or equal to 20000 virtual currency amount are determined in each audience account.
Step S130, friend recommendation messages are respectively sent to the terminals logged in by the at least two audience accounts.
And each friend recommendation message carries identification information of other audience accounts except the audience account corresponding to the friend recommendation message in at least two audience accounts.
In implementation, after the same type of audience with common interests is determined, that is, after at least two audience accounts with statistics values meeting the target value condition are determined, friend recommendation messages can be sent to terminals logged in by the at least two audience accounts respectively to recommend that the audience accounts add to each other as friends. As shown in fig. 2, both viewer account a and viewer account B are interested in the related activities of live component a, and may prompt them to add the other party as a friend.
The following describes a method for determining the tag of the live component, which may be performed in advance before step S110.
Optionally, before determining the target behavior attribute parameter and the target numerical condition corresponding to the target tag according to a pre-stored correspondence between the tag of the live broadcast component and the behavior attribute parameter and the numerical condition of the audience account, the method provided in this embodiment further includes: for each live broadcast component in the component database, acquiring a first label of the live broadcast component; determining a first attribute parameter and a first numerical condition corresponding to a first label according to a pre-stored corresponding relationship among the label, the attribute parameter of the live broadcast room and the numerical condition; and obtaining the statistic value of the first attribute parameter in the live broadcast room using the live broadcast component, if the statistic value of the first attribute parameter does not meet the first numerical condition, determining that the first label is not matched with the live broadcast component, and sending prompt information.
In implementation, background personnel can mark corresponding first tags for different live broadcast components, and the content of the first tags can embody the effect which can be expected to be achieved by the live broadcast components. When the server detects that background personnel perform tagging operation on the live component, a first tag of the live component can be acquired.
In order to verify whether the first label can accurately describe the effect achieved by the live broadcast component, whether the first label is accurate or not can be verified in a mode of counting the use data of the live broadcast room. The size of the attribute parameter of the live broadcast room can reflect the effect that the live broadcast component using the label can achieve.
Wherein the tags may include one or more of increasing revenue, increasing average frequency of interaction between the viewer and the anchor, increasing average score of the viewer scoring the live component, increasing user retention, increasing average liveness of the viewer per day.
If the live broadcast component with the tag of 'increasing revenues' is played, 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".
The server may count in advance how many revenue values B are in a certain time range when the first direct broadcasting component with the first tag of "increase revenue" is not used by the direct broadcasting room a, and how many revenue values C are in the same certain time range after the first direct broadcasting component with the first tag of "increase revenue" is used by the direct broadcasting 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 so, the first label can accurately describe the effect achieved by the first live component, and the first label is accurate. If not, the first tag cannot accurately describe the effect achieved by the first live component, and the first tag is inaccurate. Then, the server can send out prompt information to prompt background personnel that the first label cannot accurately describe the effect achieved by the first direct-playing component, and the background personnel are advised to replace the first label. Or the server may replace the first tag and notify the background personnel that the first tag cannot accurately describe the effect achieved by the first live broadcast component, and the first tag is replaced.
Optionally, the method provided by the embodiment of the present disclosure further includes: 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 assembly unmatched with the first label; and if the statistical values of the second attribute parameters in the statistical values 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 of the live broadcast assembly 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 label of the first direct broadcasting component M is "increase revenue", but the first direct broadcasting component M cannot bring about the effect of increasing revenue. Therefore, the first live-broadcasting component M can be determined from other effects to find out the effect that the first live-broadcasting component M can actually achieve. It can be counted how much average activity the viewer has per day when the first live component M is not used by the live room a, and how much average activity the viewer has per day after the first live component M is used by the live room a. It can be determined whether the average liveness of the viewer per day has changed before and after the use of the first live component M and, if so, what the change is. As shown in fig. 2, if the average liveness of the viewer per day increases after using the first live component M, it is determined that the first live component M can increase the average liveness of the viewer per day. Further, the first live component M may be tagged with a second label that "increases the average liveness of the viewer per day".
In addition to the average liveness of the audience every day, statistics of other attribute parameters of the first live broadcast component M may be counted, and if there is a second value condition that the statistics of the second attribute parameter satisfies the second value condition corresponding to the second attribute parameter in the statistics of the attribute parameters, a second tag corresponding to the second attribute parameter may be determined according to the correspondence. The second label is automatically replaced with the first label.
By the method provided by the embodiment of the disclosure, the statistics of the target behavior attribute parameters of each audience account can be determined in the live broadcast room using the live broadcast component corresponding to the target tag, and at least two audience accounts with the statistics meeting the target value condition are determined. Thus, at least two viewer accounts belong to the same class of viewers having similar attributes, which are more likely to be friends. By adopting the method provided by the embodiment of the disclosure, friends can be automatically recommended, and the possibility of adding friends in different audience accounts is increased. And then different audience accounts with friends can interact through the live broadcast application program, and the utilization rate of the instant messaging function in the live broadcast application program is improved.
Still another exemplary embodiment of the present disclosure provides an apparatus for recommending a friend in a live broadcast room, as shown in fig. 3, the apparatus includes:
a determining module 310, configured to determine a target behavior attribute parameter and a target numerical condition corresponding to a target tag according to a pre-stored correspondence between a tag of a live broadcast component and a behavior attribute parameter and a numerical condition of an audience account;
the determining module 310 is further configured to determine statistics of the target behavior attribute parameter of each audience account in a live broadcast room using a live broadcast component corresponding to the target tag, and determine at least two audience accounts whose statistics satisfy the target value condition;
a sending module 320, configured to send friend recommendation messages to the terminals logged in by the at least two viewer accounts, where each friend recommendation message carries identification information of other viewer accounts in the at least two viewer accounts except for the viewer account corresponding to the friend recommendation message.
Optionally, the apparatus further comprises:
and the prompt module is used for acquiring a first label of the live broadcast assembly for each live broadcast assembly in the assembly database, determining a first attribute parameter and a first numerical condition corresponding to the first label according to the corresponding relation among pre-stored labels, attribute parameters and numerical conditions of the live broadcast room, acquiring and using the statistical value of the first attribute parameter in the live broadcast room of the live broadcast assembly, and if the statistical value of the first attribute parameter does not satisfy the first numerical condition, determining that the first label is not matched with the live broadcast assembly and sending prompt information.
Optionally, the apparatus further comprises:
an obtaining module, configured to obtain a numerical condition corresponding to each attribute parameter included in the correspondence; acquiring statistics of the attribute parameters in a live broadcast room using a live broadcast assembly which is not matched with the first label;
the determining module 310 is further configured to determine, according to the corresponding relationship, a second tag corresponding to a second attribute parameter when 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, and replace the first tag of the live broadcast component with the second tag.
Optionally, the live components include one or more of a video component, a public screen component, a presentation component, a gift component, a data card component, a likes component, a barrage component, an attention component, and a special identity audience approach effect animation component.
Optionally, the tags include one or more of increasing revenues, increasing average frequency of interaction between the audience and the anchor, increasing user retention, increasing average liveness of the audience 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 statistics of the target behavior attribute parameters of each audience account can be determined in the live broadcast room using the live broadcast component corresponding to the target tag, and at least two audience accounts of which the statistics meet the target value condition are determined. Thus, at least two viewer accounts belong to the same class of viewers having similar attributes, which are more likely to be friends. By adopting the method provided by the embodiment of the disclosure, friends can be automatically recommended, and the possibility of adding friends in different audience accounts is increased. And then different audience accounts with friends can interact through the live broadcast application program, and the utilization rate of the instant messaging function in the live broadcast application program is improved.
It should be noted that: the device for recommending friends in a live broadcast room provided by the above embodiment is exemplified by only the division of the above functional modules when recommending friends in the live broadcast room, and in practical applications, the function distribution can be completed by different functional modules as needed, that is, the internal structure of the server is divided into different functional modules to complete all or part of the above described functions. In addition, the device for recommending friends in the live broadcast room and the method for recommending friends in the live broadcast room provided by the embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are 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 at least one instruction stored therein, and the at least one instruction is loaded and executed by the processor 1910 to implement the method for recommending friends in a live broadcast room according to the above embodiment.
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 (7)
1. A method for recommending friends in a live broadcast room is characterized by comprising the following steps:
determining a target behavior attribute parameter and a target numerical condition corresponding to a target tag according to a pre-stored corresponding relation between tags of a live broadcast component and behavior attribute parameters and numerical conditions of an audience account, wherein the tags comprise one or more of increasing revenues, improving average interaction frequency of the audience and a main broadcast, improving average score of the audience scoring the live broadcast component, improving user retention rate and increasing average daily activity of the audience, and the behavior attribute parameters of the audience are attribute parameters of behaviors corresponding to the tags of the live broadcast component;
in a live broadcast room using a live broadcast component corresponding to the target label, determining statistics of the target behavior attribute parameters of each audience account, and determining at least two audience accounts of which the statistics meet the target value condition;
respectively sending friend recommendation messages to terminals logged in by the at least two audience accounts, wherein each friend recommendation message carries identification information of other audience accounts except the audience account corresponding to the friend recommendation message in the at least two audience accounts;
before determining the target behavior attribute parameter and the target numerical condition corresponding to the target label according to the pre-stored corresponding relationship among the label of the live broadcast component, the behavior attribute parameter of the audience account and the numerical condition, the method further comprises the following steps:
for each live broadcast component in a component database, acquiring a first label of the live broadcast component, and 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 of the live broadcast component, an attribute parameter of a live broadcast room and the numerical condition, wherein the size of the attribute parameter of the live broadcast room reflects the effect which can be achieved by the live broadcast component using the label correspondingly;
obtaining statistics of the first attribute parameter in a live broadcast room using the live broadcast component, if the statistics of the first attribute parameter does not meet the first numerical condition, determining that the first label is not matched with the live broadcast component, and sending prompt information.
2. The method of claim 1, further comprising:
acquiring numerical conditions corresponding to the attribute parameters included in the corresponding relationship;
acquiring statistics of the attribute parameters in a live broadcast room using a live broadcast assembly which is not matched with the first label;
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 of the live broadcast assembly with the second label.
3. The method of claim 1, wherein the live components include one or more of a video component, a public screen component, a presentation component, a gift component, a data card component, a likes component, a barrage component, an attention component, a special identity audience approach effect animation component.
4. An apparatus for recommending friends in a live broadcast room, the apparatus comprising:
the system comprises a determining module, a judging module and a display module, wherein the determining module is used for determining a target behavior attribute parameter and a target numerical condition corresponding to a target tag according to a pre-stored corresponding relation between the tag of a live broadcast component and the behavior attribute parameter and numerical condition of an audience account, the tag comprises one or more of increasing revenues, improving the average interaction frequency of the audience and a main broadcast, improving the average score of the audience scoring the live broadcast component, improving the retention rate of a user and increasing the average activity of the audience every day, and the behavior attribute parameter of the audience is the attribute parameter of a behavior corresponding to the tag of the live broadcast component;
the determining module is further configured to determine statistics of the target behavior attribute parameter of each audience account in a live broadcast room using a live broadcast component corresponding to the target tag, and determine at least two audience accounts whose statistics satisfy the target value condition;
a sending module, configured to send friend recommendation messages to terminals logged in by the at least two viewer accounts respectively, where each friend recommendation message carries identification information of other viewer accounts in the at least two viewer accounts except for a viewer account corresponding to the friend recommendation message;
the live broadcast module is used for acquiring a first label of each live broadcast component in the component database, and 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 of the live broadcast component, the attribute parameter of the live broadcast room and the numerical condition, wherein the size of the attribute parameter of the live broadcast room reflects the effect which can be achieved by the live broadcast component using the label correspondingly; obtaining statistics of the first attribute parameter in a live broadcast room using the live broadcast component, if the statistics of the first attribute parameter does not meet the first numerical condition, determining that the first label is not matched with the live broadcast component, and sending prompt information.
5. The apparatus of claim 4, further comprising:
an obtaining module, configured to obtain a numerical condition corresponding to each attribute parameter included in the correspondence; acquiring statistics of the attribute parameters in a live broadcast room using a live broadcast assembly which is not matched with the first label;
the determining module is further configured to determine a second label corresponding to a second attribute parameter according to the correspondence when 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, and replace the first label of the live broadcast component with the second label.
6. 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.
7. 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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| CN109831538B (en) * | 2019-03-28 | 2022-12-27 | 北京达佳互联信息技术有限公司 | Message processing method, device, server, terminal and medium |
| CN110309428A (en) * | 2019-04-28 | 2019-10-08 | 上海掌门科技有限公司 | A kind of method and apparatus for recommending social object |
| CN110727868B (en) * | 2019-10-12 | 2022-07-15 | 腾讯音乐娱乐科技（深圳）有限公司 | Object recommendation method, device and computer-readable storage medium |
| CN111246231B (en) * | 2020-01-16 | 2022-02-11 | 广州酷狗计算机科技有限公司 | Live broadcast management method and device, server and computer readable storage medium |
| CN111541932B (en) * | 2020-04-30 | 2022-04-12 | 广州方硅信息技术有限公司 | User image display method, device, equipment and storage medium for live broadcast room |
| CN111711829B (en) * | 2020-06-12 | 2022-02-11 | 广州酷狗计算机科技有限公司 | Live broadcast room recommendation method and device, computer readable storage medium and equipment |
| CN114189719B (en) * | 2021-11-11 | 2024-04-16 | 北京达佳互联信息技术有限公司 | Video information extraction method and device, electronic equipment and storage medium |
| CN115086695A (en) * | 2022-06-02 | 2022-09-20 | 广州方硅信息技术有限公司 | Display method of approach gift of live broadcast room, electronic terminal and storage medium |
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