CN110611826A

CN110611826A - List generation method and device, server and readable storage medium

Info

Publication number: CN110611826A
Application number: CN201910978023.2A
Authority: CN
Inventors: 周敏华; 陈慕仪
Original assignee: Guangzhou Huya Technology Co Ltd
Current assignee: Guangzhou Huya Technology Co Ltd
Priority date: 2019-10-15
Filing date: 2019-10-15
Publication date: 2019-12-24

Abstract

The embodiment of the application provides a list generation method, a list generation device, a server and a readable storage medium, and in each list period, behavior data of a recommendation anchor and/or audiences concerning the recommendation anchor in different score dimensions are considered, so that the behavior data of the recommendation anchor and the audiences in different score dimensions can be associated with the list. The list score of the recommended anchor in each point dimension is calculated through the preset score rule of each point dimension, the quality and the accuracy of the generated list information can be improved by combining a plurality of point dimensions, the technical problem that the influence of other factor parameters on ranking results cannot be reflected due to the fact that only anchor consumption data are adopted for list generation in the prior art is solved, the list result can be reflected more truly and specifically, the stickiness of the low-end consumption anchor to a live broadcast room can be enhanced, the consumption competition system and the live broadcast platform are increased, and the user activity and the revenue of the live broadcast platform are increased.

Description

List generation method and device, server and readable storage medium

Technical Field

The application relates to the field of internet live broadcast, in particular to a list generating method, a list generating device, a server and a readable storage medium.

Background

In a plurality of live broadcast platforms, some list impact activities are often held, in the traditional list impact process, it is generally required that the anchor needs to have a sufficiently high consumption level, and some low-end anchors with low consumption levels cannot be taken care of, for example, a game grand anchor with numerous fan audiences but low consumption or no fan audiences, so that such anchor generally does not participate in the list impact activities in the live broadcast platforms. Therefore, the finally generated list information can only reflect a single data dimension, and the influence of other factor parameters on the list result is not considered, so that the quality and the accuracy of the generated list information are reduced, the specific situation of the anchor is difficult to reflect really, a human ranking list in a live broadcast platform is short of a bearing page, the stimulation effect on the broadcast revenue is limited, and some high-human anchor is difficult to attract to participate in list impact competition.

Disclosure of Invention

In view of this, an object of the present application is to provide a method, an apparatus, a server and a readable storage medium for generating a list, which can improve quality and accuracy of generated list information by combining multiple scoring dimensions, and avoid a technical problem in the prior art that influence of other factor parameters on ranking results cannot be reflected due to only using anchor consumption data for list generation, so that list results can be reflected more truly and specifically, and thus stickiness of low-end consumption anchors to live broadcasts can be enhanced, a consumption competition system and a live broadcast platform revenue can be increased, and a user activity and a revenue of a live broadcast platform can be increased.

According to an aspect of the application, a list generation method is provided and applied to a server, and the method includes:

in each list period, acquiring anchor statistical data of a recommendation anchor corresponding to the list period, wherein the anchor statistical data comprise behavior data of the recommendation anchor and/or audiences concerning the recommendation anchor in different integral dimensions;

respectively calculating the list scores of the recommendation anchor in each score dimension according to a preset score rule of each score dimension;

and generating list information of the list period according to the list scores of the recommendation anchor in each score dimension.

According to another aspect of the application, a list generating device applied to a server is provided, and the device includes:

the obtaining module is used for obtaining anchor statistical data of a recommendation anchor corresponding to each list period, wherein the anchor statistical data comprise behavior data of the recommendation anchor and/or audiences concerning the recommendation anchor in multiple integral dimensions;

the calculation module is used for respectively calculating the list scores of the recommendation anchor in each score dimension according to a preset score rule of each score dimension;

and the generating module is used for generating the list information of the list period according to the list scores of the recommendation anchor in each score dimension.

According to another aspect of the application, a server is provided, which includes a machine-readable storage medium storing machine-executable instructions and a processor, and when the machine-executable instructions are executed, the server implements the aforementioned list generation method.

According to another aspect of the application, a readable storage medium is provided, having stored therein machine-executable instructions that, when executed, implement the aforementioned list generation method.

Based on any one of the aspects, the method and the system can associate the behavior data of the recommendation anchor and the audience in different scoring dimensions with the list by considering the behavior data of the recommendation anchor and/or the audience concerning the recommendation anchor in different scoring dimensions in each list period. The list score of the recommended anchor in each point dimension is calculated through the preset score rule of each point dimension, the quality and the accuracy of the generated list information can be improved by combining a plurality of point dimensions, the technical problem that the influence of other factor parameters on ranking results cannot be reflected due to the fact that only anchor consumption data are adopted for list generation in the prior art is solved, the list result can be reflected more truly and specifically, the stickiness of the low-end consumption anchor to a live broadcast room can be enhanced, the consumption competition system and the live broadcast platform are increased, and the user activity and the revenue of the live broadcast platform are increased.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic view illustrating an interaction scene of a live broadcast system provided in an embodiment of the present application;

fig. 2 illustrates one of the flowcharts of a list generation method provided in the embodiment of the present application;

fig. 3 illustrates a second flowchart of the list generation method provided in the embodiment of the present application;

FIG. 4 shows one of the sub-step flow diagrams of step S120 shown in FIG. 2;

FIG. 5 shows a second schematic flow chart of the substeps of step S120 shown in FIG. 2;

FIG. 6 shows a third schematic flow chart of the sub-steps of step S120 shown in FIG. 2;

FIG. 7 shows a fourth flowchart illustrating the substeps of step S120 shown in FIG. 2;

fig. 8 shows a third flowchart of the list generation method provided in the embodiment of the present application;

fig. 9 is a schematic diagram illustrating a list information interface of a live broadcast receiving terminal according to an embodiment of the present application;

fig. 10 is a schematic diagram illustrating a list information interface of a live broadcast providing terminal according to an embodiment of the present application;

fig. 11 shows a fourth flowchart of the list generation method provided in the embodiment of the present application;

FIG. 12 is a functional block diagram of a list generating apparatus provided by an embodiment of the present application;

fig. 13 is a schematic block diagram illustrating a structure of a server for implementing the list generation method according to an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some of the embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

Referring to fig. 1, fig. 1 shows an interaction scene schematic diagram of a live broadcast system 10 provided in an embodiment of the present application. For example, the live system 10 may be for a service platform such as an internet live. The live broadcasting system 10 may include a server 100, a live viewing terminal 200, and a live providing terminal 300, where the server 100 is in communication connection with the live viewing terminal 200 and the live providing terminal 300, respectively, for providing live broadcasting services for the live viewing terminal 200 and the live providing terminal 300. For example, the server 100 may provide the anchor of the live broadcast providing terminal 300 with a list impact activity to attract the anchors to actively participate in the list impact activity, and the anchors and the audience may actively participate in the list impact activities to increase revenue and user activity for the live broadcast platform.

In some implementation scenarios, the live viewing terminal 200 and the live providing terminal 300 may be used interchangeably. For example, a main broadcast of the live broadcast providing terminal 300 may provide a live video service to viewers using the live broadcast providing terminal 300, or view live video provided by other main broadcasts as viewers. For another example, a viewer of the live viewing terminal 200 may also use the live viewing terminal 200 to view live video provided by a main broadcast of interest, or to serve live video as a main broadcast to other viewers.

In this embodiment, the live viewing terminal 200 and the live providing terminal 300 may be, but are not limited to, a smart phone, a personal digital assistant, a tablet computer, a personal computer, a notebook computer, a virtual reality terminal device, an augmented reality terminal device, and the like. In particular implementations, there may be zero, one, or more live viewing terminals 200 and live providing terminals 300, only one of which is shown in fig. 1, accessing the server 100. The live viewing terminal 200 and the live providing terminal 300 may be installed with internet products for providing live internet services, for example, the internet products may be applications APP, Web pages, applets, and the like used in a computer or a smart phone and related to live internet services.

In this embodiment, the server 100 may be a single physical server, or may be a server group including a plurality of physical servers for performing different data processing functions. The set of servers may be centralized or distributed (e.g., server 100 may be a distributed system). In some possible embodiments, such as where the server 100 employs a single physical server, the physical server may be assigned different logical server components based on different live service functions. For example, a list server for providing a list service, an interaction channel server for collecting interaction behavior between a main cast and a viewer, and the like may be run in the server 100. It is understood that the above logic servers are not exhaustive, and the embodiment is not limited to the specific logic servers.

It is understood that the live system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the live system 10 may include only a portion of the components shown in fig. 1 or may include other components.

Fig. 2 shows a flowchart of a list generation method provided in an embodiment of the present application, where the list generation method may be executed by the server 100 shown in fig. 1, and it should be understood that, in other embodiments, orders of some steps in the list generation method of the present embodiment may be interchanged according to actual needs, or some steps in the list generation method may be omitted or deleted. The detailed steps of the list generation method are described below.

Step S110 is to obtain anchor statistical data of the recommended anchor corresponding to each list period in each list period.

And step S120, respectively calculating the list scores of the recommendation anchor in each score dimension according to the preset score rule of each score dimension.

Step S130, generating list information of the list period according to the list scores of the recommendation anchor in each score dimension.

In this embodiment, the list period may refer to a period set by a list impact activity initiated by the live broadcast platform, and may not be limited specifically. For example, the list period may be open from 00:00 per monday, ending at 24:00 per sunday, i.e., each list period lasting one week. Then, in each list period, the anchor statistical data of the recommendation anchor corresponding to the list period between 00:00 per monday and 24:00 per sunday can be acquired.

In this embodiment, the anchor statistics may include behavior data of the recommendation anchor and/or viewers interested in the recommendation anchor in different scoring dimensions. For example, the anchor statistics may include behavioral data of the anchor in different scoring dimensions, such that the behavioral data of the anchor in different scoring dimensions may be associated with the leaderboard. For another example, the anchor statistics may include behavior data of viewers interested in the anchor in different scoring dimensions, such that the behavior data of viewers interested in the anchor in different scoring dimensions may be associated with the list. For another example, the anchor statistical data may also include behavior data of audiences who recommend anchors and pay attention to the recommenders in different scoring dimensions, so that the behavior data of audiences who recommend anchors and pay attention to the recommenders in different scoring dimensions may be associated with the list.

In this way, the list generating method provided by the embodiment of the application considers the behavior data of the recommendation anchor and/or the audience concerned about the recommendation anchor in different scoring dimensions in each list period, so that the behavior data of the recommendation anchor and the audience in different scoring dimensions can be associated with the list. The list score of the recommended anchor in each point dimension is calculated through the preset score rule of each point dimension, the quality and the accuracy of the generated list information can be improved by combining a plurality of point dimensions, the technical problem that the influence of other factor parameters on ranking results cannot be reflected due to the fact that only anchor consumption data are adopted for list generation in the prior art is solved, the list result can be reflected more truly and specifically, the stickiness of the low-end consumption anchor to a live broadcast room can be enhanced, the consumption competition system and the live broadcast platform are increased, and the user activity and the revenue of the live broadcast platform are increased.

In one possible implementation, considering the numerous anchor in the live platform, a large number of anchors that do not satisfy the list impact activity (e.g., low popularity and small activity) are necessarily involved, and thus if all anchors can participate in the list impact activity, unnecessary load stress on the live platform is necessarily increased. Based on this, in the embodiment, for each list period, only the anchor of the recommendation corresponding to the list period can participate in the list impact activity, and a possible example is given below with reference to fig. 3 to determine the anchor of the recommendation corresponding to each list period. Referring to fig. 3, before step S110, the method for generating a list according to the embodiment may further include the following steps:

step S101, before the list period starts, live broadcast room data of each anchor is acquired.

And S102, performing data processing on the live broadcast room data of each anchor to obtain the recommendation score of each anchor in the list period.

And step S103, determining the recommended anchor corresponding to the list period according to the recommendation score of each anchor in the list period.

In this embodiment, the live broadcast room data may be used to represent a recommendation score of the anchor, and the live broadcast platform may specifically acquire the live broadcast room data according to actual service selection. For example, the live room data may include one or more combinations of live room active data, live room revenue data, live room subscription data, live room interaction capability data, or other data besides the above data, and the present embodiment does not specifically limit this.

On the basis, data processing can be performed on the live broadcast room data of each anchor, for example, the weight of each kind of live broadcast room data can be preset, for example, the weight of live broadcast room active data, live broadcast room revenue data, live broadcast room subscription data and live broadcast room interaction capacity data is set, then the respective data are processed according to the respective weight, and the weight score corresponding to each kind of live broadcast room data can be obtained, so that the recommendation score of each anchor broadcast in the list period can be obtained by adding the weight scores corresponding to each kind of live broadcast room data.

Therefore, the recommendation anchor corresponding to the list period can be determined according to the recommendation score of each anchor in the list period. For example, the anchor with the top N ranking (N is a positive integer) may be selected as the recommended anchor corresponding to the list period according to ranking each anchor in the order of the recommendation scores from high to low. For another example, a anchor with a recommendation score greater than a set score may be selected as the anchor of the recommendation corresponding to the list period.

In this way, in the embodiment, before the list period starts, the data of the live broadcast room of each anchor is subjected to data processing to determine the recommendation score of each anchor in the list period, so that a part of recommended anchors are selected from a plurality of anchors to participate in the list activity of the list period, and unnecessary load pressure of a live broadcast platform is reduced.

In a possible implementation manner, since the list impact activity can be participated in only a part of the anchor recommenders and is not participated in by the anchor recommenders through active declaration, in order to attract the anchor recommenders to participate in the list impact activity in time and attract audiences who pay attention to the anchor recommenders to also participate in the list impact activity to help the anchor recommenders impact the list, a list entry may be displayed in a live interface of the anchor recommenders corresponding to the list period, and the list entry may be displayed in a live interface of the audiences who pay attention to the anchor recommenders.

Therefore, only specific recommenders and audiences who pay attention to the recommenders can see the list entry in the live broadcast interface, so that the specific recommenders and audiences who pay attention to the recommenders can be prompted to enter the displayed list entry and actively participate in the list impact activity provided by the live broadcast platform, the enthusiasm of the recommenders for participating in the live broadcast rating activity is further improved, and the enthusiasm of the recommenders for attracting fans to the live broadcast platform is improved.

In one possible implementation, for step S120, the anchor statistics may select behavior data of different score dimensions for the recommendation anchor and/or viewers interested in the recommendation anchor according to specific business requirements, and step S120 will be described in detail below with reference to some example score dimension behavior data. It should be understood that the following is only a part of embodiments for step S120, and is not an exhaustive embodiment, and those skilled in the art may select behavior data of more score dimensions to calculate the list points of the referrer with reference to various service requirements of the live platform, which is not limited in this embodiment.

For example, in one possible example, a live platform typically provides each viewer with a particular authority member of each anchor, such as a "paid fan member" for a particular anchor, for which the viewer can turn on for preferred anchors. Based on this, in order to leverage the anchor for more audience consumption and activate a member with a specific authority, and improve revenue of the live broadcast platform, please refer to fig. 4, step S120 may include sub-step S1201, sub-step S1202, sub-step S1203, and sub-step S1204, which is described in detail below.

And a substep S1201 of obtaining the interaction amount and the free gift-giving amount of each specific authority audience in each preset statistical period according to the first behavior data of each specific authority audience.

And a substep S1202 of calculating an interaction point corresponding to the interaction amount and a free gift point corresponding to the free gift giving amount according to a preset point rule.

And a substep S1203, obtaining behavior contribution scores of each specific authority audience according to the interaction scores and the free gift scores of each specific authority audience.

And a substep S1204 of obtaining a list score of the recommendation anchor in the score dimension according to the behavior contribution score of each audience with specific authority.

In this embodiment, the anchor statistical data may include first behavior data of a specific authorized viewer who focuses on the recommended anchor, for example, the number of interactions and the number of free gift gifts between the specific authorized viewer and the recommended anchor per a preset statistical period. Wherein, interactive quantity can include bullet screen interactive quantity, comment district interactive quantity etc..

For example, the preset score rule may be configured in advance by the live broadcast platform, for example, a viewer with a specific authority may be configured to send a bullet screen quantity contribution x score in a live broadcast room recommending the anchor, and send a free gift contribution z score to the anchor. Taking a preset statistical period as one day as an example, assuming that the number of interactions for the anchor b on a certain day of a certain audience a is Q1 and the number of free gift gifts is Q2, the contribution score of the certain audience a to the anchor b on the day is x Q1+ z Q2, so that the contribution score of the certain audience a to the anchor b on the whole list period can be obtained, and the single score of the anchor b in the score dimension can be obtained by integrating the contribution scores of all the audiences with the certain authority to the anchor b on the whole list period.

Therefore, only audiences with specific authority can increase the list points in the point dimension for the recommendation anchor through the interaction number with the recommendation anchor and the free gift presenting number, the anchor can be pried to enable more audiences to consume, and members with specific authority can be opened, so that the revenue of a live broadcast platform is improved.

On the basis of the foregoing, in one possible implementation manner, for the sub-step S1203, to avoid the behavior of abnormally increasing the behavior contribution score of the specific authorized viewer, the present embodiment may further limit the interaction upper limit score and the free gift upper limit score for each preset statistical period.

For example, for each member with a specific authority, when the interaction point of the viewer with the specific authority exceeds the interaction upper limit point of the preset statistical period, the interaction effective point of the viewer with the specific authority in the preset statistical period is determined as the interaction upper limit point, and when the interaction point of the viewer with the specific authority does not exceed the interaction upper limit point of the preset statistical period, the interaction effective point of the viewer with the specific authority in the preset statistical period is determined as the interaction point.

In addition, when the free gift point of the specific authorized viewer exceeds the free gift upper limit point of the preset statistical period, the free gift effective point of the specific authorized viewer in the preset statistical period is determined as the free gift upper limit point. And when the free gift point of the specific authority audience does not exceed the free gift upper limit value of the preset statistical period, determining the free gift effective point of the specific authority audience in the preset statistical period as the free gift point.

For example, still taking a preset statistical period as one day as an example, the upper limit of the interaction of a specific authorized viewer per day can be configured to be X, and the upper limit of the free gift per day can be configured to be Z. Therefore, when the daily interaction score of the specific authority audience exceeds X, the effective interaction score of the specific authority audience on the day is determined to be X, and when the daily interaction score of the specific authority audience does not exceed X, the effective interaction score of the specific authority audience on the day is determined to be interaction score. Correspondingly, when the free gift point of a specific authority audience per day exceeds Z, the free gift effective point of the specific authority audience on the day is determined to be Z, and when the free gift point of the specific authority audience per day does not exceed Z, the free gift effective point of the specific authority audience on the day is determined to be the free gift point.

Therefore, the sum of the interactive effective points and the free gift effective points of the specific authority member is used as the list points of the specific authority audience.

Therefore, the behavior of abnormally increasing the behavior contribution score of the audience with the specific authority can be effectively avoided, and the normal operation of the list impact activity is ensured.

On the basis of the foregoing, in a possible implementation manner, for sub-step S1204, generally, the live broadcast platform is configured with a rating system for each anchor, and the rating system of each anchor may reflect live broadcast participation of the anchor, and based on this, in order to attract live broadcast willingness of recommending the anchor in a list period and further enhance stickiness of recommending live broadcast to the anchor platform, the present embodiment may determine a statistical upper limit point of each anchor in the point dimension according to the anchor rating.

For example, the statistical upper limit score of the anchor in the score dimension may be determined according to the anchor rating of the anchor, and if the sum of the list scores of the specific-permission viewers is greater than the statistical upper limit score, the list score of the anchor in the score dimension is determined to be the statistical upper limit score. And if the sum of the list points of the audiences with the specific permission is not more than the upper statistical limit point, determining that the list point of the recommendation anchor in the point dimension is the sum of the list points of the audiences with the specific permission.

For example, for a level a of the anchor level, the upper statistical limit score may be 1000 ten thousand, and for a level B of the anchor level, the upper statistical limit score may be 800 ten thousand; for a anchor level of C, the statistical ceiling score may be 500 ten thousand; for a anchor level of D level, the statistical ceiling score may be 300 ten thousand.

Therefore, higher rank of the recommended anchor can be provided, higher statistical upper limit integral can be provided, and the chart activity of the live broadcast platform can be favorably impacted.

For another example, in one possible example, in order to further leverage the anchor from another dimension for more audience consumption and to open members with specific rights, and to improve revenue for the live platform, please refer to fig. 5 in combination, step S120 may include sub-step S1205, sub-step S1206, and sub-step S1207, which are described in detail below.

And a sub-step S1205 of obtaining a first gift-offering amount per a preset statistical period for each non-specific authorized viewer and a second gift-offering amount per a preset statistical period for each specific authorized viewer based on the second behavior data of each viewer.

In the sub-step S1206, a first payment point corresponding to the first payment gift presentation quantity and a second payment point corresponding to the second payment gift presentation quantity are calculated according to a preset point rule.

And a substep S1207, obtaining the list point of the recommendation anchor in the point dimension according to the first payment point of each non-specific audience and the second payment point of each specific audience.

In this embodiment, the anchor statistical data may include second behavior data of viewers interested in recommending the anchor, and may include, for example, a first gift-giving amount per a preset statistical period for each non-specific-rights viewer and a second gift-giving amount per a preset statistical period for each specific-rights viewer.

In this embodiment, in the preset credit rule, for the same payment gift, the payment credit for the payment gift given by the viewer with the specific authority may be larger than the payment credit for the payment gift given by the viewer with the non-specific authority. For example, a payment credit for a payment gift given by a viewer with a specific authority may be 5 points, and a payment credit for a payment gift given by a viewer with a non-specific authority may be 1 point. Then, taking a preset statistical period as one day as an example, if the number of the first payment gifts given by the non-specific-authority viewer in a certain day is 5, and the number of the first payment gifts given by the specific-authority viewer in a certain day is 5, the first payment credit of the non-specific-authority viewer in the certain day is 5 points, and the second payment credit of the specific-authority viewer in the certain day is 25 points. Therefore, a first payment score of the non-specific-permission audience to the recommendation anchor in the whole list period and a second payment score of the specific-permission audience to the recommendation anchor in the whole list period can be obtained, and the list score of the recommendation anchor in the score dimension can be obtained by integrating the payment scores of the non-specific-permission audience and the specific-permission audience to the recommendation anchor in the whole list period.

Therefore, when the payment gift is presented, the first payment point of the payment gift presented by the audience with the non-specific authority each time is larger than the second payment point of the payment gift presented by the audience with the specific authority each time, the anchor can be pried to enable more audiences to consume, the member with the specific authority is opened, and the earning of the live broadcast platform is improved.

On the basis of the foregoing, in one possible implementation, for the sub-step S1207, to avoid the behavior of the abnormally increased behavior contribution score of the specific authorized viewer, the present embodiment may further limit the upper limit of the payment score for each preset statistical period.

For example, if the first payment point of the non-specific authorized viewer is greater than the payment upper limit point of the preset statistical period, the first effective payment point of the non-specific authorized viewer in the preset statistical period is determined as the payment upper limit point. And if the first payment integral of the non-specific authority audience is not larger than the payment upper limit integral of the preset statistical period, determining that the first effective payment integral of the non-specific authority audience in the preset statistical period is the first payment integral. In addition, if the second payment point of the specific authorized viewer is greater than the payment upper limit point of the preset statistical period, the second valid payment point of the specific authorized viewer in the preset statistical period is determined as the payment upper limit point. And if the second payment point of the specific authorized viewer is not more than the payment upper limit point of the preset statistical period, determining that the second effective payment point of the specific authorized viewer in the preset statistical period is the second payment point.

For example, still taking a preset statistical period as an example of one day, the upper payment integral per day can be configured as C. Thus, if the first payment point of the non-specific authority audience in each day is larger than C, the first effective payment point of the non-specific authority audience in the day is determined to be C, and if the first payment point of the non-specific authority audience is not larger than C, the first effective payment point of the non-specific authority audience in the day is determined to be the first payment point. Further, if the second payment point of the specific authorized viewer is greater than C, the second valid payment point of the specific authorized viewer on the day is determined to be C, and if the second payment point of the specific authorized viewer is not greater than C, the second valid payment point of the specific authorized viewer on the day is determined to be the second payment point.

Thus, the sum of the first valid payment credit of each non-specific audience and the second valid payment credit of a specific audience can be determined as the list credit of the recommendation anchor in the credit dimension.

Therefore, the behavior of the audience for abnormally increasing the contribution score of the paid gifts can be effectively avoided, and the normal operation of the list impact activity is ensured.

For another example, in one possible example, in order to further leverage the anchor from another dimension for more audience consumption and to open up members with specific rights, and to improve revenue for the live platform, please refer to fig. 6 in combination, step S120 may include sub-step S1208, sub-step S1209, and sub-step S1210, which are described in detail below.

And a substep S1208 of obtaining permission renewal data of each specific permission viewer and permission opening data of each non-specific permission viewer according to the third behavior data of each viewer.

And a substep S1209 of calculating the authority recharging integral corresponding to the authority recharging data and the authority opening integral corresponding to the authority opening data according to a preset integral rule.

And a substep S1210, obtaining the list point of the recommendation anchor in the point dimension according to the permission renewal point of each specific permission audience and the permission opening point of each non-specific permission audience.

In this embodiment, the anchor statistical data may include third behavior data of viewers paying attention to the recommended anchor, for example, the authority renewal data of each specific-authority viewer and the authority fulfillment data of each non-specific-authority viewer, where the authority renewal data may include the number of renewal months of the specific-authority viewer and the authority fulfillment data may include the number of fulfillment months of the non-specific-authority viewer, for example, the authority renewal data may be calculated in months by specific-authority members.

Based on the above example, in the preset integral rule, an authority renewal integral w corresponding to each month of renewal and an authority opening integral e corresponding to each month of renewal can be set, and assuming that authority renewal data of specific authority audiences is 3 months of renewal and authority opening data of unspecific authority audiences is 6 months of renewal, the authority renewal integral of the specific authority audiences is 3 × w, and the authority opening integral of the unspecific authority audiences is 6 × e. Therefore, the permission renewal integral of each specific permission audience and the permission opening integral of each non-specific permission audience can be obtained, and the list integral of the recommendation anchor in the integral dimension can be obtained by integrating the permission renewal integral and the permission opening integral of all the non-specific permission audiences and the specific permission audiences in the whole list period.

Therefore, the anchor can be pried to enable more audiences to consume and open members with specific authority, the enthusiasm of the anchor for attracting vermicelli for the live broadcast platform is improved, and the earning of the live broadcast platform is improved.

For another example, in a possible example, for evaluating the recommendation anchor for more points dimension beyond the live broadcast platform, and obtaining a list point with more influence and persuasion, please refer to fig. 7, step S120 may include sub-step S1211 and sub-step S1212, which are described in detail below.

And a substep S1211, obtaining rating index data of the recommendation anchor on the third party service platform according to the behavior data of the recommendation anchor.

In the substep S1212, a rating index score corresponding to the rating index data is calculated according to a preset score rule, so as to obtain a list score of the recommendation anchor in the score dimension.

In this embodiment, the anchor statistical data may include behavior data of the anchor recommendation, for example, rating index data of the anchor recommendation on a third-party service platform may be included, and if the live broadcast type of the anchor recommendation is a game, the rating index data of the anchor recommendation in the games may be obtained from a third-party game platform.

In this embodiment, in the preset score rule, weights of different rating indexes may be set, so that corresponding rating index scores may be determined by synthesizing different rating index data of the referrer according to the weights, and a list score of the referrer in the score dimension may be obtained.

Therefore, the anchor can be evaluated and recommended from more score dimensions except for the live broadcast platform, the list score with influence and persuasion is obtained, the service interface is opened for the third-party service platform, the interaction behavior before the third-party service platform can be improved, and the consumption competition system and the revenue of the live broadcast platform are increased more easily.

Further, in one possible implementation, the list information of the list period may be generated in a ranking, for example, with respect to step S130, substep S131 and substep S132 may be included, which is described in detail below.

And a substep S131, determining ranking information of the recommendation anchor in the list period according to the list scores of the recommendation anchor in each score dimension.

And a substep S132 of generating the list information of the list period according to the ranking information of each recommendation anchor in the list period.

In this embodiment, the total list score of each recommendation anchor can be obtained according to the list scores of the recommendation anchors in each score dimension, so that the recommendation anchors can be sorted in the descending order of the total list scores to obtain the sorting information of each recommendation anchor in the list period, and the list information of the list period is generated.

In addition, in some possible embodiments, after the list period is ended, the list scores of all the chart record leaders are cleared, and the score impact of the next list period is restarted, so that a part of the chart record leaders missing the list impact activity can participate at any time.

On this basis, the presenter and the audience who pays attention to the presenter can pay attention to the list information at any time, so that the audience can know the impact progress of the current list at any time, for example, please further refer to fig. 8, after step S130, the list generation method provided in this embodiment may further include the following steps:

in step S140, the list information of the list period is respectively sent to the live broadcast providing terminal 300 of the anchor recommendation and the live broadcast watching terminal 200 of the audience concerning the anchor recommendation and displayed.

In this embodiment, the list information in the live broadcast providing terminal 300 of the anchor recommendation includes ranking information of the anchor recommendation and contribution score ranking information of each audience concerning the anchor recommendation. Correspondingly, the list information in the live viewing terminal 200 of the audience focusing on the anchor includes ranking information of the anchor and contribution score information of the audience.

For example, please refer to fig. 9 in combination, which shows a chart information interface diagram of the live viewing terminal 200 provided in the embodiment of the present application, taking the chart impact activity as "super celebrity chart" as an example, the interface diagram shows a chart information situation that the 104 th period and the current chart period are 8/19-8/25, and the audience can know the ranking information (34) and the chart score (50) of the anchor program in the current live broadcasting room "live broadcasting room N", and can know the contribution score (5 score) of the anchor program in this day. In addition, the anchor ranking conditions on the whole current live platform can be known at any time, for example, the anchor A is ranked first, the anchor B is ranked second, the anchor C is ranked third, and the like.

Correspondingly, please refer to fig. 10 in combination, which shows a chart information interface schematic diagram of the live broadcast receiving terminal provided in the embodiment of the present application, still taking the chart impact activity as the "super celebrity chart" as an example, the interface schematic diagram shows the chart information conditions of the 104 th period and the current chart period of 8/19-8/25, the anchor recommender can know the ranking information and the chart score (6000) of the anchor recommender in the "live broadcast room N" of the current live broadcast room, and can also know the audience ranking of the audience contributing the chart score to itself, for example, the audience a contributes 600 chart score, the audience B contributes 550 chart score, and the audience C contributes 460 chart score. In addition, the anchor ranking condition on the whole live platform can be known at any time, for example, the anchor A is ranked first, the anchor B is ranked second, the anchor C is ranked third, and the like.

Thus, the recommendation anchor and the audience concerning the recommendation anchor can conveniently know the progress of the list impact at any time.

On this basis, for each list period, the live broadcast platform may further set a corresponding incentive policy to incentivize the referral participating in the list impact activity, for example, please further refer to fig. 11, and after step S130, the list generation method provided in this embodiment may further include the following steps:

and step S150, determining the anchor to be stimulated according to the list information of the list period.

And step S160, executing a preset excitation strategy on the determined anchor to be excited.

For example, in step S150, according to the ranking condition of each recommended anchor in the list information of the list period, the anchor with the top ranking N may be determined as the anchor to be stimulated; for example, the anchor having the list score larger than M may be determined as the anchor to be encouraged according to the list score of each recommended anchor in the list information of the list period.

At step S160, as one possible example, the incentive policy may include one or more of the following policies in combination;

1) and displaying the anchor room of the anchor to be stimulated in a live broadcast recommendation list, and adding a stimulation label corresponding to the list period for the anchor room.

2) And issuing a preset reward corresponding to the list period to a main broadcasting account of the main broadcasting to be encouraged.

3) And increasing the hot degree of the live broadcast room of the anchor to be stimulated by a preset hot degree, and increasing the ranking of the live broadcast room of the anchor to be stimulated by a preset ranking.

In 1), the live broadcast recommendation list may be a sliding list of a webpage of a live broadcast platform or a home page recommendation column in an APP, and exposure rate between anchor broadcasters to be excited may be greatly improved by displaying the anchor broadcasters to be excited in the sliding list. The incentive tag may be some tag for identifying a special identity of the recommended anchor, such as a "go tv" tag, a "starring anchor" tag, and the like, which is not specifically limited by the embodiment.

In 2), the preset award may be a cash award, an entity commodity award, a virtual article award, or the like, which is not limited in this embodiment.

In 3), the preset popularity may refer to information presented in the live broadcast room and used for indicating the popularity of attention of the live broadcast room, and generally, for the audience, the higher the popularity of the live broadcast room is, the stronger will be to enter the live broadcast room to watch the live broadcast. In addition, the preset rank may be configured by the live broadcast platform, and this embodiment does not specifically limit this.

It should be noted that the above excitation strategies may be used in combination or alternatively.

In addition, in the practical implementation process, the method may not be limited to adopt the above example as the incentive policy, and a person skilled in the art may design an incentive policy different from the above example according to the practical requirement.

Therefore, through the steps, the corresponding incentive policy is set to encourage the recommended anchor participating in the list impact activity, the viscosity of the low-end consumption anchor to the live broadcast room can be enhanced, the consumption competition system and the live broadcast platform revenue are increased, the enthusiasm of the anchor participating in the live broadcast evaluation activity is improved, the enthusiasm of the anchor attracting vermicelli for the live broadcast platform is improved, the live broadcast room popularity is improved, and the user activity and revenue of the live broadcast platform are further increased.

Based on the same inventive concept, please refer to fig. 12, which shows a schematic diagram of functional modules of the list generating apparatus 110 according to the embodiment of the present application, and the present embodiment may divide the functional modules of the list generating apparatus 110 according to the above method embodiment. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation. For example, in the case of dividing each function module according to each function, the list generating apparatus 110 shown in fig. 12 is only one apparatus diagram. The list generating apparatus 110 may include an obtaining module 111, a calculating module 112, and a generating module 113, and the functions of the functional modules of the list generating apparatus 110 are described in detail below.

The obtaining module 111 is configured to obtain, in each list period, anchor statistical data of a recommendation anchor corresponding to the list period, where the anchor statistical data includes behavior data of the recommendation anchor and/or audience concerning the recommendation anchor in multiple scoring dimensions. It is understood that the obtaining module 111 can be used to execute the step S110, and for the detailed implementation of the obtaining module 111, reference can be made to the content related to the step S110.

The calculating module 112 is configured to calculate the list points of the recommendation anchor in each point dimension according to a preset point rule of each point dimension. It is understood that the computing module 112 can be used to execute the step S120, and for the detailed implementation of the computing module 112, reference can be made to the above description of the step S120.

The generating module 113 is configured to generate the list information of the list period according to the list scores of the recommendation anchor in each score dimension. It is understood that the generating module 113 may be configured to perform the step S130, and for a detailed implementation of the generating module 113, reference may be made to the content related to the step S130.

Based on the same inventive concept, please refer to fig. 13, which shows a schematic block diagram of a structure of a server 100 for executing the above list generating method according to an embodiment of the present application, where the server 100 may include a machine-readable storage medium 120 and a processor 130.

In this embodiment, the machine-readable storage medium 120 and the processor 130 are both located in the server 100 and are separately located. However, it should be understood that the machine-readable storage medium 120 may be separate from the server 100 and may be accessed by the processor 130 through a bus interface. Alternatively, the machine-readable storage medium 120 may be integrated into the processor 130, e.g., may be a cache and/or general purpose registers.

The processor 130 is a control center of the server 100, connects various parts of the entire server 100 using various interfaces and lines, performs various functions of the server 100 and processes data by running or executing software programs and/or modules stored in the machine-readable storage medium 120 and calling data stored in the machine-readable storage medium 120, thereby performing overall monitoring of the server 100. Alternatively, processor 130 may include one or more processing cores; for example, the processor 130 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.

The processor 130 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits for controlling the execution of the program of the method for generating a list provided by the above method embodiments.

The machine-readable storage medium 120 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an Electrically Erasable programmable Read-Only MEMory (EEPROM), a compact disc Read-Only MEMory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The machine-readable storage medium 120 may be self-contained and coupled to the processor 130 via a communication bus. The machine-readable storage medium 120 may also be integrated with the processor. The machine-readable storage medium 120 is used for storing machine-executable instructions for performing aspects of the present application. The processor 130 is configured to execute machine-executable instructions stored in the machine-readable storage medium 120 to implement the list generation method provided by the foregoing method embodiments.

Since the server 100 provided in the embodiment of the present application is another implementation form of the method embodiment executed by the server 100, and the server 100 can be used to execute the list generating method provided in the method embodiment, the technical effect obtained by the server may refer to the method embodiment, and will not be described herein again.

Further, an embodiment of the present application also provides a readable storage medium containing computer-executable instructions, and when the computer-executable instructions are executed, the method for generating a list provided by the foregoing method embodiment may be implemented.

Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the above method operations, and may also perform related operations in the list generating method provided in any embodiment of the present application.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A list generation method is applied to a server, and the method comprises the following steps:

2. The list generating method according to claim 1, wherein before the step of obtaining anchor statistics of the anchor of the recommendation anchor corresponding to the list period, the method further comprises:

before the list period begins, acquiring live broadcast room data of each anchor, wherein the live broadcast room data comprises one or more combinations of live broadcast room active data, live broadcast room revenue data, live broadcast room subscription data and live broadcast room interaction capacity data;

performing data processing on the live broadcast room data of each anchor to obtain the recommendation score of each anchor in the list period;

and determining the recommended anchor corresponding to the list period according to the recommendation score of each anchor in the list period.

3. The list generating method according to claim 1, wherein before the step of obtaining anchor statistics of the anchor of the recommendation anchor corresponding to the list period, the method further comprises:

and displaying a list entry in a live interface of the anchor recommendation corresponding to the list period, and displaying the list entry in a live interface of an audience concerning the anchor recommendation.

4. The chart generating method according to claim 1, wherein the anchor statistics include first behavior data of a specific authorized audience concerning the anchor of the recommendation, and the step of calculating the chart scores of the anchor of the recommendation in each scoring dimension according to the preset scoring rules of each scoring dimension respectively comprises:

obtaining the interaction quantity and the free gift presenting quantity of each specific authority audience in each preset statistical period according to the first behavior data of each specific authority audience;

calculating the interaction points corresponding to the interaction quantity and the free gift points corresponding to the free gift giving quantity according to a preset point rule;

obtaining the behavior contribution score of each specific authority audience according to the interaction score and the free gift score of each specific authority audience;

and obtaining the list points of the recommendation anchor in the point dimension according to the behavior contribution points of the audiences with specific permissions.

5. The chart generating method according to claim 4, wherein the step of obtaining the behavioral contribution score of each specific-rights audience according to the interaction score and the free gift score of each specific-rights audience comprises:

when the interaction integral of the audience with the specific authority exceeds the interaction upper limit integral of the preset statistical period, determining the interaction effective integral of the audience with the specific authority in the preset statistical period as the interaction upper limit integral;

when the interaction integral of the audience with the specific authority does not exceed the interaction upper limit integral of the preset statistical period, determining the interaction effective integral of the audience with the specific authority in the preset statistical period as the interaction integral; and/or

When the free gift point of the specific authority audience exceeds the free gift upper limit point of the preset counting period, determining the free gift effective point of the specific authority audience in the preset counting period as the free gift upper limit point;

when the free gift point of the specific authority audience does not exceed the free gift upper limit value of the preset statistical period, determining the free gift effective point of the specific authority audience in the preset statistical period as the free gift point;

and taking the sum of the interactive effective points and the free gift effective points of the member with the specific authority as the list points of the audience with the specific authority.

6. The chart generating method according to claim 4, wherein the step of deriving the chart score of the referrer in the scoring dimension according to the behavioral contribution score of each specific-permission viewer comprises:

determining the statistical upper limit integral of the recommended anchor in the integral dimension according to the anchor grade of the recommended anchor;

if the sum of the list points of the audiences with the specific permission is larger than the statistical upper limit point, determining the list point of the recommendation anchor in the point dimension as the statistical upper limit point; and

and if the list point sum of each specific permission audience is not larger than the statistical upper limit point, determining that the list point sum of the recommendation anchor in the point dimension is the list point sum of each specific permission audience.

7. The chart generating method according to claim 1, wherein the anchor statistics include second behavior data of audiences who concern the anchor of the recommendation, and the step of calculating the chart scores of the anchor of the recommendation in each scoring dimension respectively according to the preset scoring rules of each scoring dimension comprises:

obtaining a first gift-paying presenting quantity of each non-specific-authority audience in each preset statistical period and a second gift-paying quantity of each specific-authority audience in each preset statistical period according to second behavior data of each audience;

calculating a first payment point corresponding to the first payment gift presentation quantity and a second payment point corresponding to the second payment gift presentation quantity according to a preset point rule, wherein in the preset point rule, aiming at the same payment gift, the payment point of the payment gift presented by the audience with a specific authority is larger than the payment point of the payment gift presented by the audience with a non-specific authority;

and obtaining the list point of the recommendation anchor in the point dimension according to the first payment point of each non-specific permission audience and the second payment point of each specific permission audience.

8. The chart generating method as recited in claim 7, wherein the step of deriving the chart score of the referrer in the scoring dimension based on the first paid score of each non-specific audience and the second paid score of each specific audience comprises:

if the first payment point of the non-specific authority audience is larger than the payment upper limit point of the preset statistical period, determining the first effective payment point of the non-specific authority audience in the preset statistical period as the payment upper limit point;

if the first payment point of the non-specific authority audience is not larger than the payment upper limit point of the preset statistical period, determining the first effective payment point of the non-specific authority audience in the preset statistical period as the first payment point; and/or

If the second payment point of the specific authority audience is larger than the payment upper limit point of the preset statistical period, determining the second effective payment point of the specific authority audience in the preset statistical period as the payment upper limit point;

if the second payment point of the specific authority audience is not larger than the payment upper limit point of the preset statistical period, determining the second effective payment point of the specific authority audience in the preset statistical period as the second payment point;

and determining the sum of the first effective payment point of each non-specific permission audience and the second effective payment point of the specific permission audience as the list point of the recommendation anchor in the point dimension.

9. The chart generating method according to claim 1, wherein the anchor statistics include third behavior data of viewers interested in the anchor of the recommendation, and the step of calculating the chart scores of the anchor in each scoring dimension respectively according to the preset scoring rules of each scoring dimension comprises:

obtaining the permission renewal data of each specific permission audience and the permission opening data of each non-specific permission audience according to the third row data of each audience;

calculating a permission renewal integral corresponding to the permission renewal data and a permission opening integral corresponding to the permission opening data according to a preset integral rule;

and obtaining the list point of the recommendation anchor in the point dimension according to the permission renewal point of each specific permission audience and the permission opening point of each non-specific permission audience.

10. The method for generating a list according to claim 1, wherein the anchor statistics include behavior data of the anchor of the recommendation, and the step of calculating the list score of the anchor of the recommendation in each score dimension according to the preset score rule of each score dimension includes:

obtaining rating index data of the recommendation anchor on a third-party service platform according to the behavior data of the recommendation anchor;

and calculating the rating index score corresponding to the rating index data according to a preset score rule to obtain the list score of the recommendation anchor in the score dimension.

11. The list generating method according to any one of claims 1 to 10, wherein the step of generating the list information of the list period according to the list scores of the referrer in each score dimension includes:

determining ranking information of the recommending anchor in the list period according to the list integral of the recommending anchor in each integral dimension;

and generating the list information of the list period according to the ranking information of each recommendation anchor in the list period.

12. The chart generation method of claim 11, further comprising:

respectively sending the list information of the list period to a live broadcast providing terminal of the recommending anchor and a live broadcast receiving terminal of the audience concerning the recommending anchor for display;

the list information in the live broadcast providing terminal of the anchor recommendation comprises ranking information of the anchor recommendation and contribution score ranking information of each audience concerning the anchor recommendation;

the list information in the live broadcast receiving terminal of the audience concerned about the anchor recommendation comprises the ranking information of the anchor recommendation and the contribution score information of the audience.

13. The chart generation method of any of claims 1-10, further comprising:

determining a main broadcast to be stimulated according to the list information of the list period;

executing a preset excitation strategy on the determined anchor to be excited, wherein the excitation strategy comprises one or more of the following strategies;

displaying the anchor room of the anchor to be stimulated in a live broadcast recommendation list, and adding a stimulation label corresponding to the list period for the anchor room;

a preset reward corresponding to the list period is issued to the anchor account of the anchor to be encouraged;

and increasing the hot degree of the live broadcast room of the anchor to be stimulated by a preset hot degree, and increasing the rank of the live broadcast room of the anchor to be stimulated by a preset rank.

14. A list generation apparatus applied to a server, the apparatus comprising:

15. A server, comprising a machine-readable storage medium having machine-executable instructions stored thereon and a processor that, when executed, implements the method of generating a list of any of claims 1-13.

16. A readable storage medium having stored therein machine-executable instructions that, when executed, implement the chart generation method of any of claims 1-13.