CN111918081A - Live broadcast room heat determining method, device, equipment and storage medium - Google Patents
Live broadcast room heat determining method, device, equipment and storage medium Download PDFInfo
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- CN111918081A CN111918081A CN202010756940.9A CN202010756940A CN111918081A CN 111918081 A CN111918081 A CN 111918081A CN 202010756940 A CN202010756940 A CN 202010756940A CN 111918081 A CN111918081 A CN 111918081A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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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
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Abstract
The application discloses a method, a device, equipment and a storage medium for determining the heat of a live broadcast room, and belongs to the technical field of internet. The method comprises the following steps: acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, wherein the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room; calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and an interaction parameter of the target live broadcast room; and determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value. The technical scheme provided by the embodiment of the application can improve the flexibility of recommending the live broadcast room to the audience.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a hotness of a live broadcast room.
Background
Webcast is more and more common in people's daily life, and in the field of webcast, it is necessary to determine the popularity of each live broadcast room so as to recommend live broadcasts in live broadcast rooms with higher popularity or live broadcast rooms with higher popularity to audiences.
In the related art, the popularity of the live broadcast room is generally determined based on the number of online people in the live broadcast room, and the larger the number of online people in the live broadcast room is, the higher the popularity of the live broadcast room is, the smaller the number of online people in the live broadcast room is, and the lower the popularity of the live broadcast room is.
However, in the heat determination method provided by the related art, the heat of the live broadcast room of the anchor with more fans is generally higher than the heat of the live broadcast room of the anchor with fewer fans, which results in that the live broadcast room recommended to the viewer is generally the live broadcast room of the anchor with more fans, which results in that the live broadcast room recommended to the viewer is single, and thus the recommendation flexibility is affected.
Disclosure of Invention
Based on this, the embodiment of the application provides a method, a device, equipment and a storage medium for determining the popularity of a live broadcast room, which can improve the flexibility of recommending the live broadcast room to audiences.
In a first aspect, a method for determining hotness of a live broadcast room is provided, where the method includes:
acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, wherein the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room; calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and an interaction parameter of the target live broadcast room; and determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
In one embodiment, the interaction parameter of the target live broadcast room comprises at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for representing the number of the audience speaking in the target live broadcast room, the contribution parameter is used for representing the value of virtual resources consumed by the audience in the target live broadcast room, and the attention parameter is used for representing the number of persons of attention increased by a main broadcast in the target live broadcast room in the live broadcast process; calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and the interaction parameter of the target live broadcast room, including:
and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
In one embodiment, the calculating the second sub-heat value corresponding to the type of the interaction parameter in the target live broadcast room by using the second non-linear function and the interaction parameter for each type of the interaction parameter in the target live broadcast room includes:
and determining a speaking parameter threshold value according to the number of online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
In one embodiment, for each of the interaction parameters of the target live broadcast room, calculating a second sub-heat value of the target live broadcast room corresponding to the type of the interaction parameter by using the second non-linear function and the interaction parameter includes:
and for each type of the interaction parameters of the target live broadcast room, adding the interaction parameters and a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room.
In one embodiment, calculating a first sub-heat value of the target live broadcast room by using a first non-linear function and the number of online people of the target live broadcast room comprises:
adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum; and substituting the second sum value into the first nonlinear function to calculate a first heat value of the target live broadcast room.
In one embodiment, determining the heat of the target live broadcast room based on the weighted sum of the first sub-heat value and the second sub-heat value includes:
acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value; and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
In one embodiment, before multiplying the weighted sum result by a target heat coefficient to obtain the heat of the target live broadcast room, the method further includes:
and acquiring the target heat coefficient according to the online number of people in the target live broadcast room.
In a second aspect, a device for determining a hot degree of a live broadcast room is provided, and the device for determining the hot degree of the live broadcast room comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, and the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room;
the calculation module is used for calculating a first sub-heat value of the target live broadcast room by utilizing a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by utilizing a second nonlinear function and the interactive parameters of the target live broadcast room;
and the determining module is used for determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
In one embodiment, the interaction parameter of the target live broadcast room comprises at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for representing the number of the audience speaking in the target live broadcast room, the contribution parameter is used for representing the value of virtual resources consumed by the audience in the target live broadcast room, and the attention parameter is used for representing the number of persons of attention increased by a main broadcast in the target live broadcast room in the live broadcast process; the calculation module is specifically configured to:
and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
In one embodiment, the interaction parameter of the target live broadcast room includes a speech parameter, and the calculation module is specifically configured to: and determining a speaking parameter threshold value according to the number of online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
In one embodiment, the calculation module is specifically configured to: and for each type of the interaction parameters of the target live broadcast room, adding the interaction parameters and a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room.
In one embodiment, the calculation module is specifically configured to: adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum; and substituting the second sum value into the first nonlinear function to calculate a first heat value of the target live broadcast room.
In one embodiment, the determining module is specifically configured to: acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value; and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
In one embodiment, the apparatus further comprises a second obtaining module;
the second acquisition module is used for acquiring the target heat coefficient according to the online number of people in the target live broadcast room.
In a third aspect, there is provided a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, implements the method of determining live room heat as described in any one of the first aspects above.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of determining live room heat as described in any one of the first aspects above.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
by obtaining the number of online people in the target live broadcast room and the interaction parameter of the target live broadcast room, wherein the interaction parameter is used for representing the interaction state between the anchor and the audience in the target live broadcast room, then, calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the number of online people in the target live broadcast room, calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and the interaction parameter of the target live broadcast room, and then, determining the heat of the target live broadcast room based on the weighted sum result of the first sub-heat value and the second sub-heat value, on one hand, because the heat of the live broadcast room can be determined according to the interaction parameter in the technical scheme provided by the embodiment of the application, and the interaction parameter is used for representing the interaction state between the anchor and the audience, namely, in the technical scheme provided by the embodiment of the application, the heat of the live broadcast room can reflect the interaction state between the anchor and the audience, namely, the more frequent the interaction between the anchor and the audience, the higher the heat degree of the live broadcast room, so that the live broadcast platform can recommend the live broadcast room with frequent interaction between the anchor and the audience to the audience based on the heat degree of the live broadcast room, and not only can singly recommend the live broadcast room of the anchor with more fans to the audience, thereby improving the flexibility of recommending the live broadcast room to the audience, on the other hand, the first sub-heat value and the second sub-heat value are calculated based on a nonlinear function, but the function curve of the nonlinear function is generally a smooth curve, so that when the independent variables (the online number of people and the interaction parameters) of the nonlinear function are greatly different, the difference between the dependent variables (the first sub-heat value and the second sub-heat value) of the nonlinear function is smaller, thereby being beneficial to improving the heat degree of the live broadcast room with relatively less fans or the live broadcast room with relatively infrequent interaction between the anchor and the audience, therefore, the live broadcast platform can recommend the type of live broadcast room to audiences based on the heat degree of the live broadcast room, and not only can singly recommend the live broadcast room of the anchor with more fans to the audiences, but also can improve the flexibility of recommending the live broadcast room to the audiences.
Drawings
Fig. 1 is a block diagram of a server according to an embodiment of the present application;
fig. 2 is a flowchart of a method for determining a hotness of a live broadcast room according to an embodiment of the present disclosure;
fig. 3 is a flowchart of an exemplary technical process for calculating a second sub-heat value of a target live broadcast room by using a second non-linear function and an interaction parameter of the target live broadcast room, provided by an embodiment of the present application;
FIG. 4 is a flowchart of an exemplary process for calculating a first sub-heat value of a target live broadcast room by using a first non-linear function and an online population of the target live broadcast room, according to an embodiment of the present disclosure;
fig. 5 is a flowchart of an exemplary technical process for determining the heat of a target live broadcast room based on a weighted summation result of a first sub-heat value and a second sub-heat value according to an embodiment of the present application;
fig. 6 is a graph 1 of the heat of a target live broadcast room obtained by using the technical solution provided in the embodiment of the present application and a graph 2 of the heat of the target live broadcast room determined based on the current conventional heat determination manner;
FIG. 7 is a diagram illustrating exemplary hotness rankings in a live broadcast room according to an embodiment of the present disclosure;
FIG. 8 is a schematic diagram illustrating a hotness enhancement education interface in a live broadcast room according to an embodiment of the disclosure;
fig. 9 is a schematic diagram of a live broadcast room with a top rank on a recommendation page according to an embodiment of the present application;
fig. 10 is a schematic diagram of a popularity ranking list of a live broadcast room according to an embodiment of the present application;
FIG. 11 is a diagram illustrating a hotness-ranked live room at an entry interface of a "find" option of a live platform according to an embodiment of the present application;
fig. 12 is a schematic diagram illustrating a live room with a top rank in popularity at a search interface of a live platform according to an embodiment of the present application;
fig. 13 is a block diagram of a device for determining a hotness of a live broadcast room according to an embodiment of the present application;
fig. 14 is a block diagram of another apparatus for determining a hotness of a live broadcast provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Live webcasting has been more common in people's daily life, and under the general condition, in live webcasting field, live webcasting platform can count the heat of each live webcasting room in the live webcasting platform to according to statistics result recommend the live webcasting room of the higher heat or the anchor webcasting in the live webcasting room of the higher heat to spectator.
For example, the live platform has 1000 live rooms, and the live platform can count the popularity of the 1000 live rooms and recommend the live room with the popularity ranking 10 above to the audience for watching.
In the related technology, the live broadcast platform can determine the heat degree of the live broadcast room by utilizing the online number of people in the live broadcast room, the more the online number of people in the live broadcast room is, the higher the heat degree of the live broadcast room is, the less the online number of people in the live broadcast room is, and the lower the heat degree of the live broadcast room is.
However, in the heat determination method provided in the related art, the live broadcast room heat of the anchor having more fans is generally higher than the live broadcast room heat of the anchor having fewer fans. For example, if the number of fans of anchor Weiya is 30 ten thousand and the number of fans of anchor Xiao A is 1 ten thousand, the number of online users in the live broadcast room of anchor Weiya is always higher than the number of online users in the live broadcast room of anchor Xiao A, and the heat level in the live broadcast room of anchor Weiya is always higher than the heat level in the live broadcast room of anchor Xiao A in the heat level determination method provided in the related art.
In the related technology, the hot degree of the live broadcast room of the anchor with more fans is generally higher than that of the anchor with less fans, so that the live broadcast room recommended to audiences by the live broadcast platform is generally the live broadcast room of the anchor with more fans, which leads to single live broadcast room recommended to audiences and influences the recommendation flexibility.
For example, if the live room of anchor Weiya is usually recommended to the audience due to high heat, and the live room of anchor XiaoA is usually difficult to be recommended to the audience due to insufficient heat, it may happen that the live room of anchor Weiya is always recommended to the audience, and the live room of anchor XiaoA is always difficult to be recommended to the audience, so that the live room recommended to the audience is fixed and single, and the recommendation flexibility is affected.
In view of this, an embodiment of the present application provides a method for determining a live broadcast room heat, in which an online population of a target live broadcast room and an interaction parameter of the target live broadcast room can be obtained, where the interaction parameter is used to characterize a state of interaction between a main broadcast and an audience in the target live broadcast room, then a first sub-heat value of the target live broadcast room is calculated by using a first nonlinear function and the online population of the target live broadcast room, a second sub-heat value of the target live broadcast room is calculated by using a second nonlinear function and the interaction parameter of the target live broadcast room, and then the heat of the target live broadcast room is determined based on a weighted summation result of the first sub-heat value and the second sub-heat value, on one hand, in a technical scheme provided by the embodiment of the present application, the heat of the live broadcast room can be determined according to the interaction parameter, and the interaction parameter is used to characterize the state of interaction between the main broadcast and the audience, that is, in the technical solution provided in this application, the heat of the live broadcast room may reflect the interaction state between the anchor and the audience, that is, the more frequent the interaction between the anchor and the audience, the higher the heat of the live broadcast room is, so that the live broadcast platform can recommend the live broadcast room with frequent interaction between the anchor and the audience to the audience based on the heat of the live broadcast room, and not only recommend the live broadcast room of the anchor with more fans to the audience singly, so as to improve the flexibility of recommending the live broadcast room to the audience, on the other hand, the first sub-heat value and the second sub-heat value are both calculated based on the nonlinear function, and the function curve of the nonlinear function is generally a smooth curve, so that when the independent variables (the online number of people and the interaction parameters) of the nonlinear function are greatly different, the dependent variables (the first sub-heat value and the second sub-heat value) of the nonlinear function are slightly different, therefore, the hot degree of the live broadcast room of the anchor with relatively few fans or the live broadcast room with relatively infrequent interaction between the anchor and audiences is promoted, so that the live broadcast platform can recommend the live broadcast room of the type to the audiences based on the hot degree of the live broadcast room, the live broadcast room of the anchor with more fans is recommended to the audiences singly, and the flexibility of recommending the live broadcast room to the audiences is improved.
The method for determining the popularity of the live broadcast room provided by the embodiment of the application can be applied to a server, wherein the server can be a server erected by a live broadcast platform, and the server can be one server or a server cluster consisting of a plurality of servers.
Referring to fig. 1, a block diagram of a server provided by an embodiment of the present application is shown, and as shown in fig. 1, the server may include a processor and a memory connected by a system bus. Wherein the processor of the server is configured to provide computing and control capabilities. The memory of the server comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The computer program is executed by a processor to implement a live room heat determination method.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, as a particular server may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Please refer to fig. 2, which shows a flowchart of a live broadcast hotness determining method provided in an embodiment of the present application, and the live broadcast hotness determining method may be applied in a server. As shown in fig. 2, the method for determining the hotness of the live broadcast room may include the following steps:
It should be noted that the "target live broadcast room" described in this embodiment of the present application may be any one of live broadcast rooms in a live broadcast platform, in other words, in an actual application, the server may count the heat of each live broadcast room in the live broadcast platform according to the method for determining the heat of the live broadcast room provided in this embodiment of the present application.
In an optional embodiment of the present application, the server may periodically determine the heat of the target live broadcast room, for example, the server may determine the heat of the target live broadcast room 1 time every 1 minute, so that it may be ensured that the heat of the target live broadcast room can be updated in real time.
In the process of determining the popularity of the target live broadcast room, the server can acquire the online number of people and the interaction parameters of the target live broadcast room, so that the popularity of the target live broadcast room is calculated in the subsequent steps according to the acquired online number of people and the interaction parameters.
The number of online persons in the target live broadcast room can be the number of simultaneous online persons in the target live broadcast room, or the number of accumulated online persons in the target live broadcast room, wherein the number of simultaneous online persons refers to the number of persons watching the target live broadcast room at the same time, and the number of accumulated online persons refers to the number of persons watching the target live broadcast room in the process of live broadcast.
The interaction parameters of the target live broadcast room are used for representing the interaction state between the anchor and the audience in the target live broadcast room, and generally, the interaction parameters of the target live broadcast room can comprise a plurality of different kinds of parameters, and the different kinds of parameters can represent the interaction state between the anchor and the audience in the target live broadcast room from different dimensions.
For example, in an alternative embodiment of the present application, the interaction parameter of the target live broadcast room may include at least one of a talk parameter, a contribution parameter, and an attention parameter.
In an optional embodiment of the present application, the "number of speeches of the audience in the target live broadcast room" may refer to the number of speeches accumulated in the target live broadcast room in the live broadcast process, and in practical applications, the larger the number of speeches of the audience in the target live broadcast room is, the more frequent the interaction between the audience and the anchor in the target live broadcast room is, and conversely, the smaller the number of speeches of the audience in the target live broadcast room is, the less frequent the interaction between the audience and the anchor in the target live broadcast room is.
The contribution parameter is used to represent the value of the virtual resource consumed by the audience in the target live broadcast room, where the virtual resource may refer to a virtual gift, a virtual reward, and the like, and the value of the virtual resource may refer to a virtual value of the virtual resource or a monetary value of the virtual resource, and the like, and the embodiment of the present application is not particularly limited to this, in an alternative embodiment of the present application, "the value of the virtual resource consumed by the viewer in the target live broadcast room" may refer to the fact that, during the live broadcast, the viewer accumulates the value of the virtual resource consumed in the target live broadcast room, in practical application, the higher the value of the virtual resources consumed by the audience in the target live broadcast room is, the more frequent the interaction between the audience and the anchor in the target live broadcast room is, and conversely, the lower the value of the virtual resources consumed by the audience in the target live broadcast room is, the less frequent the interaction between the audience and the anchor in the target live broadcast room is.
The attention parameter is used for representing the number of the attention people of the anchor in the target live broadcast room, which is increased in the live broadcast process, and the number of the attention people of the anchor in the target live broadcast room, which is increased in the live broadcast process, can be represented by using the difference value between the number of the attention people of the anchor in the target live broadcast room at the current moment and the number of the attention people of the anchor in the target live broadcast room before the live broadcast. In practical application, the more attention people the anchor in the target live broadcast room increases in the live broadcast process, the more frequent the interaction between the audience and the anchor in the target live broadcast room is, and conversely, the less attention people the anchor in the target live broadcast room increases in the live broadcast process, the less frequent the interaction between the audience and the anchor in the target live broadcast room is.
In an alternative embodiment of the present application, the first non-linear function may be a function of taking a natural logarithm, that is, the first non-linear function may be y-lnx.
In practical application, the function curve of the nonlinear function is generally a smooth curve, so that the difference between the first sub-heat value calculated by using the first nonlinear function when the number of online people in the target live broadcast room is large and the first sub-heat value calculated by using the first nonlinear function when the number of online people in the target live broadcast room is small is not very large, so that the phenomenon that the heat of the live broadcast room with more fans is higher than that of the live broadcast room with less fans due to too large contribution of the number of online people to the heat can be avoided, the heat of the live broadcast room with relatively less fans can be relatively improved, so that the live broadcast room with the lumbar anchor can obtain a certain recommended opportunity, and the live broadcast platform is richer in the recommended live broadcast room for audiences, the flexibility of recommendation is improved.
And 203, the server calculates a second sub-heat value of the target live broadcast room by using the second nonlinear function and the interaction parameter of the target live broadcast room.
In an alternative embodiment of the present application, the second non-linear function may be the same as the first non-linear function, and the second non-linear function may also be a function of taking a natural logarithm, that is, the second non-linear function may be y ═ lnx.
As described above, in general, the interaction parameter of the target live broadcast room may include a plurality of different kinds of parameters, and in response to this, in step 203, for each kind of interaction parameter of the target live broadcast room, the server may calculate a second sub-heat value of the target live broadcast room corresponding to the kind of interaction parameter by using a second non-linear function and the kind of interaction parameter.
For example, when the interaction parameter of the target live broadcast room includes three of a comment parameter, a contribution parameter, and an attention parameter, the server may calculate a second sub-heating value corresponding to the comment parameter of the target live broadcast room by using a second nonlinear function and the comment parameter, or the server may calculate a second sub-heating value corresponding to the contribution parameter of the target live broadcast room by using the second nonlinear function and the contribution parameter, and at the same time, the server may calculate a second sub-heating value corresponding to the attention parameter of the target live broadcast room by using the second nonlinear function and the attention parameter.
In an alternative embodiment of the present application, in order to prevent the anchor from brushing a large amount of speech in the target live broadcast room through illegal means to raise the hot degree of the target live broadcast room, the server may calculate a second sub-hot degree value corresponding to the speech parameter of the target live broadcast room by using a technical process, where the technical process includes steps a1 to A3.
And step A1, the server determines a speaking parameter threshold according to the number of the online people in the target live broadcast room.
Optionally, the server may query a speech parameter threshold table according to the number of online persons in the target live broadcast room, where speech parameter thresholds corresponding to the number of online persons of different sizes are stored in the speech parameter threshold table, and by querying the speech parameter threshold table, the server may obtain the speech parameter threshold corresponding to the number of online persons in the target live broadcast room.
Table 1 illustrates an exemplary floor parameter threshold table.
TABLE 1
| Number of people online | Speaking parameter threshold |
| 0-20 or less | 100 |
| 20-50 |
100 |
| 50-100 below | 2000 |
| 100- | 5000 |
| 500- | 5000 |
| 1000- | 25000 |
| 1500- | 25000 |
| 2000- | 30000 |
| 4000- | 30000 |
| 6000- | 70000 |
| 10000- | 100000 |
| 15000- | 120000 |
| 25000 and 25000 or more | 160000 |
As can be seen from table 1, if the number of online persons in the target live broadcast room is 30, the speech parameter threshold value in the target live broadcast room is 100.
And step A2, if the speaking parameter of the target live broadcasting room is larger than or equal to the speaking parameter threshold, the server takes a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcasting room.
Step A3, if the speaking parameter of the target live broadcasting room is smaller than the speaking parameter threshold, the server calculates a second sub-heat value corresponding to the speaking parameter of the target live broadcasting room by using a second nonlinear function and the interaction parameter.
Therefore, the second sub-heat value corresponding to the speaking parameter of the target live broadcasting room can be guaranteed not to be larger than the preset value, and therefore, the heat of the target live broadcasting room can not be further improved even if the anchor swipes a large number of speeches in the target live broadcasting room through illegal means, and therefore the phenomenon can be fundamentally avoided.
According to the method and the device, the second sub-heat value of the target live broadcast room is calculated based on the interaction parameters, and the heat of the target live broadcast room is determined based on the second sub-heat value in the subsequent steps, so that the heat of the target live broadcast room can reflect the interaction state of the anchor and the audience in the target live broadcast room, namely the more frequent the interaction between the anchor and the audience is, the higher the heat of the target live broadcast room is. Therefore, the live broadcast room with frequent interaction between the anchor and the audience can obtain a certain recommended opportunity, so that the live broadcast room recommended to the audience by the live broadcast platform is richer, and the recommendation flexibility is improved.
Similarly to the above, since the second sub-heat value of the target live broadcast is calculated by using the second nonlinear function, the difference between the second sub-heat value calculated when the interactive parameter of the target live broadcast is high and the second sub-heat value calculated when the interactive parameter of the target live broadcast is low is not very large, so that too much contribution to heat caused by the interactive parameter can be avoided, and then the heat of the live broadcast of the lumbar anchor broadcast with relatively low interactive parameter can be relatively increased, so that the live broadcast of the lumbar anchor broadcast can obtain a certain recommended opportunity, and thus the live broadcast recommended to the audience by the live broadcast platform is richer, and the recommendation flexibility is improved.
And step 204, the server determines the heat degree of the target live broadcast room based on the weighted sum result of the first sub-heat degree value and the second sub-heat degree value.
As described above, in an alternative embodiment of the present application, for each kind of interaction parameter, the server may calculate a second sub-heat value of the target live broadcast corresponding to the kind of interaction parameter, and in step 204, the server may determine the heat of the target live broadcast based on a weighted summation result of the first sub-heat value and each second sub-heat value.
For example, in a case that the interaction parameters of the target live broadcast room include three of a speaking parameter, a contribution parameter, and an attention parameter, the weighted summation result of the first sub-hot value and each second sub-hot value may be characterized by the following formula:
a*x1+b*xf2+c*xg2+d*xz2
wherein x1 is a first sub-heating value, xf2 is a second sub-heating value corresponding to the speaking parameter, xg2 is a second sub-heating value corresponding to the contribution parameter, xz2 is a second sub-heating value corresponding to the attention parameter, a is a weighting value corresponding to the first sub-heating value x1, b is a weighting value corresponding to the second sub-heating value xf2, c is a weighting value corresponding to the second sub-heating value xg2, and d is a weighting value corresponding to the second sub-heating value xz 2.
In an alternative embodiment of the present application, the weight values corresponding to the first sub-heating-value and each second sub-heating-value may be set by a technician, for example, as shown in table 2, the weight values may be set as the following values.
TABLE 2
| a | b | c | d |
| 14000 | 4000 | 3200 | 2400 |
Referring to fig. 3, a flowchart of an exemplary technical process for calculating a second sub-heat value of a target live broadcast using a second non-linear function and an interaction parameter of the target live broadcast according to an embodiment of the present application is shown, and as shown in fig. 3, the technical process may include the following steps:
It should be noted that, in the case that the interaction parameter includes a plurality of different kinds of parameters, the server calculates the second sub-heating value corresponding to each kind of interaction parameter in the same way.
In step 301, the server may add the interaction parameter to a first preset value to obtain a first sum, where the first preset value is a positive value, and the first preset value may be set by a technician. The purpose of adding the interactive parameters and the first preset value is to avoid the occurrence of a 0 value, further avoid the problem of wrong calculation of the second nonlinear function caused by the occurrence of the 0 value, and avoid the negative influence on statistics and display caused by the excessively low heat of the target live broadcast room.
And step 302, the server substitutes the first sum value into a second nonlinear function to calculate a second sub-heat value.
Referring to fig. 4, which is a flowchart illustrating an exemplary technical process for calculating a first sub-heat value of a target live broadcast room by using a first non-linear function and an online number of people in the target live broadcast room, as shown in fig. 4, the technical process may include the following steps:
The second preset value is a positive value, and the second preset value can be set by a technician, in the embodiment of the present application, the purpose of adding the number of online people in the target live broadcast room to the second preset value by the server is the same as the purpose of adding the interaction parameter to the first preset value, which is described above, and the embodiment of the present application is not described herein again.
And step 402, the server substitutes the second sum value into the first nonlinear function, and calculates to obtain a first heat value of the target live broadcast room.
Referring to fig. 5, which is a flowchart illustrating an exemplary technical process for determining the heat of the target live broadcast room based on the weighted summation result of the first sub-heat value and the second sub-heat value according to an embodiment of the present application, as shown in fig. 5, the technical process may include the following steps:
And 502, multiplying the weighted sum result by a target heat coefficient by the server to obtain the heat of the target live broadcast room.
In the current traditional heat determination method, the heat of the live broadcast room is generally determined according to the number of online people, in order to avoid the confusion of the anchor and the audience caused by the fact that the hot degree of the target live broadcast room obtained by the technical scheme provided by the embodiment of the application is too large different from the hot degree of the target live broadcast room determined based on the current traditional hot degree determining mode, in the embodiment of the application, after obtaining the weighted sum result of the first sub-heat value and the second sub-heat value, the server may multiply the weighted sum result by the target heat coefficient, where the difference between the product obtained after multiplication and the heat of the target live broadcast room determined based on the current conventional heat determination method is small, therefore, smooth transition of the new and old heat determination modes can be ensured on the premise of not causing the confusion of the anchor and the audience, and the robustness of the heat determination method provided by the embodiment of the application can be improved.
In an optional embodiment of the present application, the server may obtain the target heat coefficient described above according to the number of online people in the target live broadcast room. Optionally, the server may query a coefficient table according to the number of online people in the target live broadcast room, where the coefficient table stores heat coefficients corresponding to the number of online people of different sizes, and by querying the coefficient table, the server may obtain the target heat coefficient corresponding to the number of online people in the target live broadcast room.
An exemplary coefficient table is shown in table 3.
TABLE 3
| Number of people online | Coefficient of heat |
| 0-20 or less | 0.05 |
| 20-50 below | 0.1 |
| 50-100 below | 0.15 |
| 100- | 0.3 |
| 500- | 0.5 |
| 1000- | 0.8 |
| 1500-2000 or less | 1 |
| 2000- | 1.2 |
| 4000- | 1.4 |
| 6000- | 1.6 |
| 10000- | 1.8 |
| 15000- | 2.2 |
| 25000 and 25000 or more | 2.7 |
As can be seen from table 3, if the number of online persons in the target live broadcast room is 30, the target heat coefficient in the target live broadcast room is 0.1.
Please refer to fig. 6, which shows a curve 1 of the heat of the target live broadcast room obtained by the technical solution provided in the embodiment of the present application and a curve 2 of the heat of the target live broadcast room determined based on the current conventional heat determination manner. As can be seen from fig. 6, if the number of online people is large, the difference between the heat of the target live broadcast room obtained based on the technical scheme provided in the embodiment of the present application and the heat of the target live broadcast room determined based on the current conventional heat determination manner is not large, and if the number of online people is small, the heat of the target live broadcast room obtained based on the technical scheme provided in the embodiment of the present application is relatively high, and the heat of the target live broadcast room determined based on the current conventional heat determination manner is relatively low.
In an optional embodiment of the present application, the server may count the popularity of each live broadcast room in the live broadcast platform, rank the popularity of the live broadcast rooms, and display the popularity rank in the live broadcast room with the top popularity rank, as shown in fig. 7, which is an exemplary schematic diagram showing the popularity rank in the live broadcast room.
As shown in fig. 8, in an alternative embodiment of the present application, a popularity promotion education interface may be further displayed in the live broadcast room to educate the audience how to promote popularity for the favorite live broadcast room, so that the desire of the audience to interact may be enhanced.
In an alternative embodiment of the present application, as shown in fig. 9, a top-ranking live room may be displayed on the recommendation page, so as to recommend the top-ranking live room to the viewer.
As shown in fig. 10, in an optional embodiment of the present application, a live broadcast room popularity ranking list may be further generated, and a live broadcast room with a top popularity ranking may be displayed in the live broadcast room popularity ranking list, so as to recommend the live broadcast room with the top popularity ranking to the audience.
In an alternative embodiment of the present application, a top-ranked live room may also be presented at the portal interface of the "find" option of the live platform, as shown in fig. 11, to recommend the top-ranked live room to the viewer.
In an alternative embodiment of the present application, as shown in fig. 12, a top-ranked live room may also be presented at a search interface of the live platform, so as to recommend the top-ranked live room to the viewer.
Referring to fig. 13, a block diagram of a live broadcast hotness determining apparatus 600 provided in an embodiment of the present application is shown, where the live broadcast hotness determining apparatus 600 may be configured in a server. As shown in fig. 6, the apparatus 600 for determining the hot degree of the live broadcast room may include: a first obtaining module 601, a calculating module 602 and a determining module 603.
The first obtaining module 601 is configured to obtain an online number of people in a target live broadcast room and an interaction parameter of the target live broadcast room, where the interaction parameter is used to represent a state of interaction between a main broadcast and an audience in the target live broadcast room.
The calculating module 602 is configured to calculate a first sub-heat value of the target live broadcast room by using a first non-linear function and the online number of people in the target live broadcast room, and calculate a second sub-heat value of the target live broadcast room by using a second non-linear function and an interaction parameter of the target live broadcast room.
The determining module 603 is configured to determine a heat degree of the target live broadcast room based on a weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
In an optional embodiment of the present application, the interaction parameter of the target live broadcast room includes at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for characterizing the number of speeches of the audience in the target live broadcast room, the contribution parameter is used for characterizing the value of virtual resources consumed by the audience in the target live broadcast room, and the attention parameter is used for characterizing the number of persons of attention increased by a main broadcast in the target live broadcast room during the live broadcast; the calculating module 602 is specifically configured to: and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
In an optional embodiment of the present application, the interaction parameter of the target live broadcast room includes a speaking parameter, and the calculating module 602 is specifically configured to: and determining a speaking parameter threshold value according to the number of online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
In an optional embodiment of the present application, the calculating module 602 is specifically configured to: and for each type of the interaction parameters of the target live broadcast room, adding the interaction parameters and a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room.
In an optional embodiment of the present application, the calculating module 602 is specifically configured to: adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum; and substituting the second sum value into the first nonlinear function to calculate a first heat value of the target live broadcast room.
In an optional embodiment of the present application, the determining module 603 is specifically configured to: acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value; and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
Referring to fig. 14, a block diagram of another apparatus 700 for determining a live broadcast hotness provided in an embodiment of the present application is shown, where the apparatus 700 for determining a live broadcast hotness includes, in addition to various modules included in the apparatus 600 for determining a live broadcast hotness, an optional second obtaining module 604.
The second obtaining module 604 is configured to obtain the target heat coefficient according to the number of online people in the target live broadcast room.
The device for determining the heat of the live broadcast room, provided by the embodiment of the application, can realize the method embodiment, and the realization principle and the technical effect are similar, and are not repeated herein.
For specific definition of the determination device of the live broadcast room heat degree, reference may be made to the above definition of the determination method of the live broadcast room heat degree, and details are not described here. The modules in the device for determining the hotness of the live broadcast room can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute the operations of the modules.
In one embodiment of the present application, there is provided a computer device, which may be a server, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the following steps when executing the computer program:
acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, wherein the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room; calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and an interaction parameter of the target live broadcast room; and determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
In one embodiment of the application, the interaction parameter of the target live broadcast room comprises at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for representing the number of speeches of the audience in the target live broadcast room, the contribution parameter is used for representing the value of virtual resources consumed by the audience in the target live broadcast room, and the attention parameter is used for representing the number of persons of attention increased by a main broadcast in the target live broadcast room in the live broadcast process; the processor, when executing the computer program, further performs the steps of: and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
In one embodiment of the present application, the interaction parameter of the target live broadcast room includes a speaking parameter, and the processor executes the computer program to further implement the following steps: and determining a speaking parameter threshold value according to the number of online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: and for each type of the interaction parameters of the target live broadcast room, adding the interaction parameters and a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum; and substituting the second sum value into the first nonlinear function to calculate a first heat value of the target live broadcast room.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value; and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
In one embodiment of the application, the processor when executing the computer program further performs the steps of: and acquiring the target heat coefficient according to the online number of people in the target live broadcast room.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In an embodiment of the application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, wherein the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room; calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and an interaction parameter of the target live broadcast room; and determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
In one embodiment of the application, the interaction parameter of the target live broadcast room comprises at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for representing the number of speeches of the audience in the target live broadcast room, the contribution parameter is used for representing the value of virtual resources consumed by the audience in the target live broadcast room, and the attention parameter is used for representing the number of persons of attention increased by a main broadcast in the target live broadcast room in the live broadcast process; the computer program when executed by the processor further realizes the steps of: and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
In one embodiment of the application, the interaction parameter of the target live broadcast room comprises a speaking parameter, and the computer program when executed by the processor further implements the steps of: and determining a speaking parameter threshold value according to the number of online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
In one embodiment of the application, the computer program when executed by the processor further performs the steps of: and for each type of the interaction parameters of the target live broadcast room, adding the interaction parameters and a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room.
In one embodiment of the application, the computer program when executed by the processor further performs the steps of: adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum; and substituting the second sum value into the first nonlinear function to calculate a first heat value of the target live broadcast room.
In one embodiment of the application, the computer program when executed by the processor further performs the steps of: acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value; and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
In one embodiment of the application, the computer program when executed by the processor further performs the steps of: and acquiring the target heat coefficient according to the online number of people in the target live broadcast room.
The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for determining heat of a live broadcast room, the method comprising:
acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, wherein the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room;
calculating a first sub-heat value of the target live broadcast room by using a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and an interaction parameter of the target live broadcast room;
and determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
2. The method of claim 1, wherein the interaction parameter of the target live broadcast room comprises at least one of a speech parameter, a contribution parameter and an attention parameter, wherein the speech parameter is used for representing the number of the audience speaking in the target live broadcast room, the contribution parameter is used for representing the value of the virtual resource consumed by the audience in the target live broadcast room, and the attention parameter is used for representing the number of the attention people increased by a main broadcast in the target live broadcast room in a live broadcast process; the calculating a second sub-heat value of the target live broadcast room by using a second nonlinear function and the interaction parameter of the target live broadcast room comprises:
and for each type of the interaction parameters of the target live broadcast room, calculating a second sub-heat value corresponding to the type of the interaction parameters of the target live broadcast room by using the second nonlinear function and the interaction parameters.
3. The method as claimed in claim 2, wherein the interaction parameters of the target live broadcast room include a speech parameter, and the calculating, for each of the interaction parameters of the target live broadcast room, a second sub-heat value corresponding to the kind of the interaction parameter of the target live broadcast room by using the second non-linear function and the interaction parameter includes:
and determining a speaking parameter threshold value according to the number of the online people in the target live broadcast room for the speaking parameter of the target live broadcast room, if the speaking parameter of the target live broadcast room is greater than or equal to the speaking parameter threshold value, taking a preset value as a second sub-heat value corresponding to the speaking parameter of the target live broadcast room, and if the speaking parameter of the target live broadcast room is smaller than the speaking parameter threshold value, calculating a second sub-heat value corresponding to the speaking parameter of the target live broadcast room by using the second nonlinear function and the interaction parameter.
4. The method of claim 2, wherein the calculating, for each of the interaction parameters of the target live broadcast room, a second sub-heat value corresponding to the type of the interaction parameter of the target live broadcast room by using the second non-linear function and the interaction parameter comprises:
and for each type of the interaction parameters in the target live broadcast room, adding the interaction parameters to a first preset value to obtain a first sum, substituting the first sum into the second nonlinear function, and calculating to obtain a second sub-heat value corresponding to the type of the interaction parameters in the target live broadcast room.
5. The method of claim 1, wherein calculating the first sub-heat value of the target live broadcast room using the first non-linear function and the number of online people in the target live broadcast room comprises:
adding the number of the online people in the target live broadcast room to a second preset value to obtain a second sum;
and substituting the second sum value into the first nonlinear function, and calculating to obtain a first heat value of the target live broadcast room.
6. The method of claim 1, wherein determining the heat of the target live broadcast based on the weighted sum of the first sub-heat value and the second sub-heat value comprises:
acquiring a weighted summation result of the first sub-calorific value and the second sub-calorific value;
and multiplying the weighted summation result by a target heat coefficient to obtain the heat of the target live broadcast room.
7. The method of claim 6, wherein before multiplying the weighted sum result by a target heat coefficient to obtain the heat of the target live broadcast room, the method further comprises:
and acquiring the target heat coefficient according to the online number of people in the target live broadcast room.
8. An apparatus for determining heat of a live broadcast room, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the online number of people in a target live broadcast room and interaction parameters of the target live broadcast room, and the interaction parameters are used for representing the interaction state of a main broadcast and audiences in the target live broadcast room;
the calculation module is used for calculating a first sub-heat value of the target live broadcast room by utilizing a first nonlinear function and the online number of people in the target live broadcast room, and calculating a second sub-heat value of the target live broadcast room by utilizing a second nonlinear function and the interactive parameters in the target live broadcast room;
and the determining module is used for determining the heat degree of the target live broadcast room based on the weighted summation result of the first sub-heat degree value and the second sub-heat degree value.
9. A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, implements a live room heat determination method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the method of determining live room heat of any one of claims 1 to 7.
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Application publication date: 20201110 Assignee: GUANGZHOU HUADUO NETWORK TECHNOLOGY Co.,Ltd. Assignor: Guangzhou Jinhong network media Co.,Ltd. Contract record no.: X2021440000051 Denomination of invention: Method, device, equipment and storage medium for determining heat degree of live broadcasting room License type: Common License Record date: 20210208 |
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