CN114466214B - Live broadcasting room people counting method and device - Google Patents
Live broadcasting room people counting method and device Download PDFInfo
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- CN114466214B CN114466214B CN202210122950.6A CN202210122950A CN114466214B CN 114466214 B CN114466214 B CN 114466214B CN 202210122950 A CN202210122950 A CN 202210122950A CN 114466214 B CN114466214 B CN 114466214B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- 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
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
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Abstract
The application provides a live room people counting method and device, wherein the live room people counting method comprises the following steps: acquiring room attribute information corresponding to each brushing room in the brushing rooms; determining an access user set corresponding to each brushing room according to the room attribute information; determining an abnormal user set according to a plurality of access user sets; and counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set. The visit user set of the room is queried reversely, the abnormal user set is determined according to the visit user set, the number of the shot users is removed according to the abnormal user set, so that the real visit number of the living broadcast room is obtained, the heartbeat number in the abnormal user set can be automatically discarded in the statistics of the number of the people in the future, the real-time removal of the shot number of the people is realized, and the correctness of the popularity data of each living broadcast room is ensured.
Description
Technical Field
The application relates to the technical field of network live broadcasting, in particular to a live broadcasting room people counting method. The present application also relates to a live room people counting device, a computing device, and a computer readable storage medium.
Background
With advances in network communication technology and the speed of broadband networks, live broadcast has been increasingly developed and applied. In the existing live broadcast system, popularity is an important index for ranking each room of the live broadcast platform, and in general, the higher the popularity, the higher the ranking, the more likely the anchor is to be watched by users. The live broadcasting room real-time watching number is a key ring in the popularity calculation, and in order to improve popularity, some anchor can simulate watching the live broadcasting room through illegal means, falsify the online watching number of the live broadcasting room, namely improve popularity ranking through the brushing amount.
The visiting number in the normal room is the real number, but in the brushing room, the visiting number is not the real number, the brushing room can be determined through the anti-brushing strategy at present, but after the brushing room is determined, the real number of the brushing room cannot be obtained. Therefore, how to ensure the correctness of the personal data in the living broadcasting room is a problem to be solved.
Disclosure of Invention
In view of this, the embodiment of the application provides a live room people counting method. The application relates to a live broadcasting room people counting device, a computing device and a computer readable storage medium, so as to solve the problem that the live broadcasting room watching number cannot be accurately acquired in the prior art.
According to a first aspect of an embodiment of the present application, there is provided a live room people counting method, including:
acquiring room attribute information corresponding to each brushing room in the brushing rooms;
determining an access user set corresponding to each brushing room according to the room attribute information;
determining an abnormal user set according to a plurality of access user sets;
and counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set.
According to a second aspect of embodiments of the present application, there is provided a live room demographics device, comprising:
the acquisition module is configured to acquire room attribute information corresponding to each brushing room in the brushing rooms;
a first determining module configured to determine a set of access users corresponding to each of the swiped rooms according to the room attribute information;
a second determining module configured to determine an abnormal user set from a plurality of the access user sets;
and the statistics module is configured to count the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set.
According to a third aspect of embodiments of the present application, there is provided a computing device comprising a memory, a processor and computer instructions stored on the memory and executable on the processor, the processor implementing the steps of the live room demographics method when executing the computer instructions.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of the live room demographics method.
The live broadcasting room people counting method provided by the application comprises the following steps: acquiring room attribute information corresponding to each brushing room in the brushing rooms; determining an access user set corresponding to each brushing room according to the room attribute information; determining an abnormal user set according to a plurality of access user sets; and counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set.
According to the method and the device, the access user set corresponding to each brushing room is determined according to the room attribute information of at least two brushing rooms, the abnormal user set is determined according to the access user set of each brushing room, after the abnormal user set is determined, the real user number corresponding to each brushing room can be counted according to the access user set corresponding to each brushing room and the abnormal user set, and the heartbeat number in the abnormal user set can be automatically discarded in the statistics of the number of people in the future, so that the number of brushing people is removed in real time, and the accuracy of the personal air data in the direct broadcasting room is guaranteed.
Drawings
FIG. 1 is a flow chart of a method for counting the number of people in a living room according to one embodiment of the present application;
FIG. 2 is a process flow diagram of a live room people counting method for counting real online people according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a device for counting the number of people in a living room according to an embodiment of the present application;
FIG. 4 is a block diagram of a computing device according to one embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar generalizations can be made by those skilled in the art without departing from the spirit of the application and the application is therefore not limited to the specific embodiments disclosed below.
The terminology used in one or more embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of one or more embodiments of the application. As used in this application in one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present application refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
First, terms related to one or more embodiments of the present application will be explained.
Live-broadcast popularity: the numerical values calculated according to a certain proportion, such as the number of people watched, the number of connected barrages, the number of gifts and the like, are used for ranking according to the popularity of people on a live broadcast platform.
Live people: the real population of the live broadcast room is watched in real time.
Brush amount: by simulating normal user access, a large number of false viewing situations are created, i.e. viewing the live room by illegal means.
Brushing room: the live broadcasting room which generates a large amount of false popularity through illegal means, and a plurality of illegal users in the brushing room generate a large amount of false data such as the number of viewers, barrages and the like for the brushing room through illegal means.
Abnormal users: and brushing a large amount of false personal information and barrage information for users in the live broadcasting room by illegal means.
And (3) brushing prevention: by means of the technical means, the illegal access request is identified, namely, the access request of the blacklist address of the brushing amount is identified, and the illegal request is refused.
Heartbeat summary service: and collecting heartbeat information of each live broadcasting room in real time, wherein the heartbeat information can be information such as the number of viewers in the live broadcasting room, the number of barrages in the live broadcasting room and the like. Because the heartbeat summarization service only does one thing, namely, the heartbeat information of each room is summarized, the heartbeat summarization service can realize real-time summarization.
In the existing live broadcasting system, the number of people in the live broadcasting room is one of important parameters for measuring the popularity of the live broadcasting room, and the popularity of the live broadcasting room can be used for ranking rooms of a live broadcasting platform. In general, the higher the popularity the more likely the anchor is to be viewed by the user, and thus the number of viewers in a live room is particularly important to the live room.
The general process of watching the live broadcast room by the user is as follows: the user clicks the live broadcasting room which the user wants to watch, selects to enter the live broadcasting room, the client requests a playing address from the scheduling service of the live broadcasting platform, and after the playing address is taken, the user starts to play the live broadcasting content of the live broadcasting room. After that, the client reports the play log to the database of the live broadcast platform at background timing, and the specific information of the play log comprises: the identification information of the living broadcast room, the identification information of the user and other information are added, and meanwhile, the client side also reports heartbeat information to the heartbeat summarizing service of the living broadcast platform at regular time, and the heartbeat information comprises: room identification information + user identification information. The heartbeat summarizing service can summarize the information of the number of the viewers in each living broadcast room in real time based on the heartbeat information reported by each client of the viewing user.
Since some illegal personnel generate a large number of false watching conditions for the brushing room by simulating normal user access, illegal benefits are obtained. Therefore, many live broadcasting platforms now have respective anti-brushing strategies to count the real number of people in a live broadcasting room, for example, the live broadcasting platform is generally based on anti-brushing of the IP, the play log of the player is utilized to count the number of times of occurrence of all the IP in a whole disc, when the number of times of occurrence of the same IP exceeds a preset frequency, the IP is set as illegal IP, the user of the IP is an abnormal user, and when the next time the IP reports heartbeat information of the number of people, the heartbeat summarizing service defaults to discard the number of people, and the number of people is not counted to play a role of anti-brushing. However, the above-described anti-brush strategy has the following drawbacks:
the probability of accidental injury is large: the exit IP of many cells/schools/large office buildings is fixed or fixed, so that the situation that the IP access is too much, i.e. the IP exceeds the preset frequency, is easy to occur.
The pertinence is low: since the above-mentioned anti-brushing strategy is to count the occurrence times of the IP from the perspective of the whole disk, under the condition that the illegal personnel has a plurality of IPs and the access frequency is low, the occurrence times of the illegal IPs can not reach very high frequency, the condition of missed judgment can occur, and if the preset frequency is reduced, the condition of accidental injury can also occur easily.
High delay: the play log is not reported in real time, and because the play log is only used for analyzing data, the real-time requirement is not high, so that the client is allowed to delay reporting. The database for receiving the play logs is usually in n+1 form because of very much received play logs or information report, i.e. the play logs of related services can be queried on the n+1 day after the database performs classification processing on the logs.
Based on the above, in the present application, a live room people counting method is provided for solving the problem of the above-mentioned anti-brushing strategy. The present application relates to a live room people counting device, a computing device and a computer readable storage medium, which are described in detail in the following embodiments.
Fig. 1 shows a flowchart of a live room people counting method according to an embodiment of the present application, which specifically includes the following steps:
step 102: and acquiring room attribute information corresponding to each brushing room in the brushing rooms.
The room attribute information may be understood as attribute information corresponding to each living room, where the room attribute information may be a room identifier of the living room, for example, a room number of the living room, a main broadcasting ID of the living room, etc., and the room attribute information may further include information such as a current number of viewers and a bullet screen number of the living room.
In a specific embodiment of the present application, it is determined that there are 100 brushing rooms, and room numbers of the 100 brushing rooms are obtained.
In order to determine an abnormal user, it is necessary to determine all the brushing rooms on the current line, specifically, before acquiring the room attribute information of at least two brushing rooms, the method further includes:
and determining at least two brushing rooms according to preset brushing prevention rules.
The preset anti-brushing rule can be understood as a rule for judging whether a live broadcasting room is a brushing room, whether the live broadcasting room is brushing or not can be accurately determined according to the preset anti-brushing rule, and the brushing room can be understood as a live broadcasting room which generates a large number of false watching people through illegal means.
In practical application, a plurality of live rooms in one live platform can generate a large number of false watching people through illegal technical means, and each live room in the live platform can be judged through preset anti-brushing rules, and brushing rooms are screened out. The preset anti-brushing rule can be used for judging whether the live broadcasting room is a brushing room or not from multiple dimensions, for example, the parameters of the dimensions such as the bullet screen connection number, the attention number and the like of the target live broadcasting room can be integrated to judge. The method for judging whether the live broadcasting room is a brushing room is various, the application is not particularly limited, and corresponding brushing prevention rules can be selected according to actual conditions.
In a specific embodiment of the application, 1000 live broadcasting rooms are in live broadcasting in a current live broadcasting platform, the corresponding brushing amount score of each live broadcasting room is calculated through parameters such as bullet screen connection number, attention number and the like of each live broadcasting room, and if the brushing amount score of the current live broadcasting room exceeds a preset score, the current live broadcasting room is judged to be a brushing amount room; correspondingly, if the brushing amount score of the current live broadcasting room does not exceed the preset score, judging that the current live broadcasting room is a normal room. And finally judging that 400 live broadcasting rooms are brushed rooms in 1000 live broadcasting rooms of the current live broadcasting platform through a preset anti-brushing rule.
Step 104: and determining an access user set corresponding to each brushing room according to the room attribute information.
The access user set may be understood as a user set of a live broadcast watching room, and the access user set may have normal users and may also have a user with a brush (abnormal user), and the access user set may include an ID, a user name, a user IP, and the like of the user. The access user set may be a set of online viewing users of a live broadcast room being live broadcast, or a set of historical viewing users in a preset historical time period of the current live broadcast room.
In practical application, the historical access user set of the current live broadcasting room can be obtained from the database of the live broadcasting platform according to the room attribute information of the current live broadcasting room, and the access user set currently being watched can be obtained if the current live broadcasting room is live broadcasting. It should be noted that, in order to ensure the accuracy of the subsequent judgment, in the case that the access user set is a history access user set, the history access user set of each of the brushing rooms should be uniformly acquired; in the case where the access user set is an online access user set, the online access user set of each of the swiped rooms should be uniformly acquired.
In a specific embodiment of the present application, along the above example, according to the room numbers of the 400 brushing rooms, searching all access user IDs of each brushing room in the past 7 days in a database in the live platform, and according to all access user IDs of each brushing room, generating the access user set corresponding to each brushing room.
In another specific embodiment of the present application, along the above example, according to the room numbers of the 400 brushing rooms, the current online watching user ID of each brushing room being directly broadcast is obtained, and according to the current online watching user ID of each brushing room, the access user set corresponding to each brushing room is generated.
Specifically, determining the access user set corresponding to each brushing room according to the room attribute information includes:
determining a target brushing amount room;
and acquiring an access user set corresponding to the target brushing room from an access user database according to the room attribute information of the target brushing room.
The target brushing room may be understood as one brushing room selected from all brushing rooms. The access user database can be understood as a database for storing user data in the live broadcast platform, and the database can store related information of each live broadcast room according to room attribute information of each live broadcast room. For example, the number of live viewers, the number of live barrages, the number of gifts, and the like are sequentially stored according to the room number of each live room.
In practical applications, in determining the set of access users, a process-by-process determination is required because there are many swipe rooms. Firstly, determining a target brushing room in a plurality of brushing rooms, and determining an access user set corresponding to the target brushing room according to room attribute information of the target brushing room. And selecting the next brushing room as a target brushing room, and sequentially performing the same processing operation until the access user set corresponding to each brushing room is determined.
In a specific embodiment of the present application, along with the above example, a target brushing room a is determined in 400 brushing rooms, an access user set corresponding to the target brushing room a is obtained in an access user database of the live platform according to a room number of the target brushing room a, and the access user set in the access user set is an access user set of the target brushing room a for 3 days in the past, and accordingly, an access user set corresponding to each brushing room is obtained, where the access user set obtained for each target brushing room may be processed in parallel to improve processing efficiency.
In another specific embodiment of the present application, along the above example, a target brushing room a is determined in 400 brushing rooms, current online watching user information of the target brushing room a is obtained, and an access user set corresponding to the target brushing room a is generated.
Step 106: and determining an abnormal user set according to a plurality of the access user sets.
The abnormal user set may be understood as a set of brush users, and the abnormal user set may include a user name, a user ID, a user IP, and the like of the abnormal user.
In practical application, abnormal users are necessarily present in the access user sets of the plurality of brushing rooms, and the abnormal user sets can be determined according to the access user sets corresponding to at least two brushing rooms. Specifically, before determining the abnormal user set, it is required to determine whether each access user in the access user set is an abnormal user, and it may be determined according to the access frequency of the abnormal user, where the access frequency may be the number of times of user access divided by the number of rooms of the brushing amount, and when the access frequency of the access user exceeds the preset access frequency, it is determined that the current access user is an abnormal user, and otherwise, it is a normal user. For example, the number of the swiped rooms is 100, the number of times of access of the access user a is 25, the access frequency of the access user a is 25%, and if the access frequency does not exceed the preset access frequency by 30%, the access user a is a normal user; the access frequency 40 of the access user B is 40%, and if the access frequency exceeds the preset access frequency by 30%, the access user B is an abnormal user.
In a specific embodiment of the present application, along with the above example, there are currently 400 rooms with a brushing amount and access user sets corresponding to each brushing amount room, determining an access frequency of access users in each access user set, determining whether the access frequency of each access user exceeds 20% of a preset access frequency, and adding the access users exceeding the preset access frequency to the abnormal user set.
Specifically, determining an abnormal user set according to a plurality of the access user sets includes:
determining at least two access user sets to be processed in a plurality of access user sets;
and determining an intersection of at least two to-be-processed access user sets, and determining an abnormal user set according to the intersection, wherein the abnormal user set comprises users with abnormal operations.
The determining at least two to-be-processed access user sets in the multiple access user sets may be understood as determining target access user sets (to-be-processed access user sets) of at least two brushing rooms in all access user sets, for example, determining 20 to-be-processed access user sets in access user sets of 100 brushing rooms, and it should be noted that the number of to-be-processed access user sets may be equal to the total number of access user sets of brushing rooms, that is, 100 to-be-processed access user sets may be determined in 100 brushing rooms. Determining the intersection of each set of pending access users may be understood as determining which users have seen the corresponding rooms of the set of pending access users.
In practical application, the purpose of determining the intersection of at least two to-be-processed access user sets is to determine an abnormal user set according to the intersection, and the reason for the intersection is as follows: each abnormal user must not only receive a shot order of a host or a live broadcast room when a live broadcast platform performs shot, and one abnormal user can perform shot on a plurality of live broadcast rooms. Since the server of each abnormal user is fixed and the server itself is not changed at will, the exit IP of each abnormal user is also fixed, and the situation that the same IP accesses a plurality of rooms is easy to occur.
In a specific embodiment of the present application, along the above example, 100 to-be-processed access user sets are determined from 400 access user sets, an intersection of the access user sets corresponding to the 100 brushing rooms is found according to the 100 to-be-processed access user sets, 10 user IPs are in the intersection, and users corresponding to the 10 IPs all access the 100 brushing rooms in the past 3 days, and then the 10 user IPs are used as abnormal IPs, so as to generate an abnormal user set.
In practical application, a certain number of to-be-processed access user sets can be determined from the access user sets of the plurality of the brushing rooms, and the times of each user accessing the brushing rooms corresponding to the to-be-processed access user sets are searched for to exceed the preset times in the to-be-processed access user sets. The preset number of times may be set according to the number of the brushing rooms. For example, if the number of rooms to be processed corresponding to the access user set is 100, the preset number of times may be set to 10% of the number of rooms to be processed, that is, the preset number of times is 10. Because the abnormal user set is screened from the to-be-processed access user set, compared with the whole-disk statistics, the abnormal user set has low accidental injury probability and strong pertinence.
In a specific embodiment of the present application, after determining 100 to-be-processed access user sets in access user sets corresponding to 400 brushing rooms, for each user in each to-be-processed access user set, querying the number of times that each user accesses a live broadcast room in the brushing room corresponding to the 100 to-be-processed access user sets, where the number of times that user a accesses the live broadcast room in the 100 brushing rooms is 20 and exceeds a preset number of times by 10, if user a is an abnormal user, sequentially completing detection on each user to screen out the abnormal user, and generating an abnormal user set.
In the case that the access user set is a user name or a user ID, the user attribute information set corresponding to each user needs to be obtained according to the user name and/or the user ID. Specifically, determining an intersection of at least two access user sets to be processed, and determining an abnormal user set according to the intersection, including:
acquiring a user attribute information set corresponding to each to-be-processed access user set according to each to-be-processed access user set;
determining an intersection of user attribute information sets of each to-be-processed access user set, and determining an abnormal user attribute information set;
And determining an abnormal user set according to the abnormal user attribute information set.
The user attribute information set may be understood as a set containing attribute information corresponding to each user, where the user attribute information set may include information such as user IP, user sending bullet screen number, user sending gift number, and the like.
In practical application, according to each room attribute information, the access user of each room can be obtained in the access user database, that is, in the case that the user name of each room access user is obtained, the user IP corresponding to each access user needs to be obtained according to the user name of each access user.
In a specific embodiment of the present application, after determining 100 to-be-processed access user sets according to the above example, obtaining a user attribute information set of a brushing amount room corresponding to each to-be-processed access user set according to the 100 to-be-processed access user sets, where the user attribute information set includes an access IP of each access user, determining an abnormal user attribute information set including an abnormal user IP according to the user attribute information set corresponding to each brushing amount room, and determining an abnormal user set including a user ID and/or a user name according to the abnormal user attribute information set.
Step 108: and counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set.
The number of real users can be understood as the number of real people watching the live broadcasting room, and the number of real users can be the number of users in the access user set minus the number of existing abnormal users. The number of real users may be the number of real viewers who swipe the room for the past n days, or the number of real viewers who swipe the room currently watching.
In practical application, abnormal users are bound to visit user sets of each brushing room, normal user watching is simulated by the abnormal users through illegal technical means, a large number of false watching persons are provided for the brushing rooms, and therefore, in order to ensure the authenticity of the watching persons of each brushing room, the real watching persons corresponding to each brushing room can be counted through the visit user sets and the abnormal user sets corresponding to each brushing room. For example, there are 100 users in the access user set, 20 users in the abnormal user set, and all of the 20 abnormal users in the access user set, the real number of viewers is 80.
In a specific embodiment of the present application, according to the above example, the real user numbers corresponding to the 100 brushing rooms are counted according to the access user sets and the abnormal user sets corresponding to the 100 brushing rooms.
Specifically, before counting the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set, the method further comprises: and acquiring the abnormal user number according to the abnormal user set.
The abnormal user number can be understood as the number of abnormal users counted according to the abnormal user set.
In practical application, the abnormal user set may include user ID, user name, user IP, etc., and the number of abnormal users may be counted according to the abnormal user set.
In a specific embodiment of the present application, in the above example, before the actual number of users corresponding to each brushing room is counted according to the access user set and the abnormal user set corresponding to each brushing room, the abnormal user number of the 100 brushing rooms needs to be obtained according to the abnormal user set, where the abnormal user number is 20.
After obtaining the abnormal user number according to the abnormal user set, obtaining the access user number corresponding to each brushing room according to the access user set corresponding to each brushing room, specifically, counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set, including:
Determining a target brushing room, and acquiring the number of access users of the target brushing room according to an access user set corresponding to the target brushing room;
and counting the real user number corresponding to the target brushing room according to the access user number and the abnormal user number.
The target brushing room is understood to be a target room determined from a plurality of brushing rooms, and is further processed. The visiting user number can be understood as the total number of people visiting the target brushing room, wherein the total number of people comprises the watching number of normal users and the brushing number of abnormal users.
In practical application, the access user set of each brushing room comprises user information of normal users and user information of abnormal users, and the abnormal users are added to the normal users according to the access user acquired by the access user set, so that the real users of each brushing room can be counted according to the access user number and the abnormal user number.
In a specific embodiment of the present application, along the above example, a target brushing amount room R1 is determined in 100 brushing amount rooms, an access number 100 corresponding to the target brushing amount room R1 is obtained according to an access user set corresponding to the target brushing amount room R1, and a real user number 80 corresponding to the target brushing amount room is counted according to the access user number and the abnormal user number.
Specifically, counting the real user number corresponding to the target brushing room according to the access user number and the abnormal user number, including:
counting a target abnormal user number corresponding to a target brushing room according to the access user number and the abnormal user number;
and counting the real user number corresponding to the target brushing room according to the access user number and the target abnormal user number.
The target abnormal user number can be understood as the number of abnormal users watching the target brushing room, and in practical application, each abnormal user in the abnormal user set may not access each brushing room, so before the real user number of the target brushing room is counted, how many abnormal users are in the target brushing room needs to be determined. For example, there are 100 users in the access user set, 20 users in the abnormal user set, but only 10 abnormal users in the access user set, the real viewing number is 90.
In a specific embodiment of the present application, along with the above example, the number of access users in the target brushing amount room R1 is determined to be 100, and only 5 people out of 20 abnormal users are determined to be the number of access users, so that the number of real users in the target brushing amount room R1 is determined to be 95.
In practical application, after the abnormal user number is obtained, the abnormal user number and the abnormal user set can be sent to the heartbeat summarizing service of the live broadcasting platform, when the live broadcasting platform summarizes the number of people in the live broadcasting room outside the room with the current determined brushing amount, the heartbeat reported by the abnormal user in the abnormal user set can be directly ignored, so that the number of people in other live broadcasting rooms can be accurately counted, the brushing prevention effect is achieved, and the judgment of whether the live broadcasting room is brushed or not is not needed again.
In the live room people counting method, the brushing amount room is determined according to the preset brushing prevention rule, and because the preset brushing prevention rule is set by people, some missed brushing amount rooms exist. Based on the phenomenon that the brushing amount user can visit a plurality of live rooms to perform brushing amount, the visit record of each abnormal user can be inquired in the visit user database of the live platform according to the abnormal user set, which live rooms are visited by each abnormal user can be obtained according to the visit record, a list is generated, whether the live rooms in the list are brushing amount rooms which are determined by us is judged, and if yes, no processing is performed; if not, adding the room with the suspected brushing amount to the room list.
Specifically, the method further comprises:
acquiring a room set of the brushing amount to be confirmed according to the abnormal user set;
and adjusting the preset anti-brushing rule according to the room set of the brushing amount to be confirmed.
The room set to be confirmed is understood as a suspected room set to be the room to be confirmed. The preset anti-brushing rule is a rule for judging whether the current live broadcasting room is a brushing room, and adjusting the preset anti-brushing rule can be understood as adjusting a preset standard value in the preset anti-brushing rule, and when the suspected value of the current live broadcasting room is greater than the preset standard value, determining that the current live broadcasting room is the brushing room; and when the suspected value of the current live broadcasting room is smaller than or equal to a preset standard value, determining that the current live broadcasting room is a normal room.
In practical application, after the abnormal user set is acquired, a preset anti-brushing rule for judging whether the live broadcasting room is a brushing room or not can be correspondingly adjusted, so that the brushing room can be accurately judged according to the preset anti-brushing rule.
In a specific embodiment of the present application, the above example is used, according to 20 abnormal users in the abnormal user set, access records of the 20 abnormal users are obtained to determine a to-be-confirmed brushing amount room set, 1000 to-be-confirmed brushing amount rooms in the to-be-confirmed brushing amount room set, and a preset brushing prevention rule is adjusted according to the to-be-confirmed brushing amount room set.
Specifically, acquiring a room set to be confirmed according to the abnormal user set, including:
acquiring a room set to be checked according to the abnormal user set;
determining a target to-be-checked room in the to-be-checked room set;
judging whether the at least two brushing rooms comprise the target room to be audited or not;
if not, adding the target room to be checked to a room set with the brushing amount to be checked;
if yes, the target room to be checked is a brushing room.
The to-be-checked room set may be understood as a room set accessed by all abnormal users, and a live room in the to-be-checked room set may have a brushing amount room determined as a brushing amount and an unknown room to be determined.
In practical application, access room sets of all abnormal users are obtained according to the abnormal user sets, the sets are to-be-checked room sets, and whether missed judgment occurs is determined according to live rooms in the to-be-checked room sets.
In a specific embodiment of the present application, the above example is used to obtain a set of rooms to be audited according to the abnormal user set, determine a target room to be audited R2 in the set of rooms to be audited, determine whether the target room to be audited R2 is in the previous set of rooms to be audited, and if the result of the determination is yes, indicate that the target room to be audited R2 is the confirmed room to be audited.
In another embodiment of the present application, the above example is used to obtain a set of rooms to be audited according to the abnormal user set, determine a target room to be audited R2 in the set of rooms to be audited, determine whether the target room to be audited R2 is in the previous set of rooms with brushing amount, and if the result of the determination is not in the set of rooms with brushing amount, it is indicated that the target room to be audited R2 is possibly not detected and is also possibly a normal room.
Specifically, acquiring a set of rooms to be checked according to the abnormal user set, including:
determining a target abnormal user in the abnormal user set;
acquiring target access information of the target abnormal user;
and acquiring a room set to be checked according to the target access information corresponding to each abnormal user.
The target abnormal user may be understood as an abnormal user selected from the abnormal user set, the target abnormal user is a next processing object, the target access information may be understood as an access record of the target abnormal user, and the access information may include information such as access time, access address (access room number), and the like.
In practical application, processing is performed for each abnormal user in the abnormal user set, a target abnormal user in the abnormal user set is selected, access information of each abnormal user is obtained by analogy according to the access information of the target abnormal user, and the to-be-checked room set can be an access room set determined by all the abnormal users according to preset time. For example, if the preset time is 3 days, the access room sets of all abnormal users for the past 3 days are acquired, and the room sets to be checked are determined. The method comprises the steps of obtaining respective sub-sets of rooms to be checked according to the access information of each abnormal user, finally summarizing to generate the rooms to be checked, or summarizing the access information of each abnormal user, and determining the rooms to be checked according to the total access information.
In a specific embodiment of the present application, a target abnormal user a is determined in an abnormal user set, target access information of the target abnormal user a is obtained, a sub-set of rooms to be checked of the target abnormal user can be obtained according to the target access information, a sub-set of rooms to be checked of each abnormal user is obtained, and a set of rooms to be checked is generated according to each sub-set of rooms to be checked.
In another specific embodiment of the present application, along with the above example, determining a target abnormal user a in the abnormal user set, obtaining target access information of the target abnormal user a, determining a next target abnormal user, obtaining corresponding target access information, assembling total access information according to the target access information corresponding to each abnormal user, and determining room information to be audited according to the total access information.
The method for counting the number of people in the live broadcasting room comprises the following steps: acquiring room attribute information corresponding to each brushing room in the brushing rooms; determining an access user set corresponding to each brushing room according to the room attribute information; determining an abnormal user set according to a plurality of access user sets; and counting the real user number corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set. The method comprises the steps of acquiring room attribute information of at least two brushing rooms, determining an access user set corresponding to each brushing room according to the room attribute information of each brushing room, determining an abnormal user set according to the access user set of each brushing room, and counting the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set after determining the abnormal user set, wherein the heartbeat number in the abnormal user set can be automatically discarded in the subsequent statistics of the number of people, so that the number of brushing people is removed in real time, and the accuracy of the personal data in a live broadcasting room is ensured. And the preset anti-brushing rules can be dynamically adjusted, the number of the brushing amount judgment rooms is increased, and the missed judgment on the brushing amount rooms is reduced.
The live room people counting method is further described below by taking the application of the live room people counting method in counting the real online people as an example with reference to fig. 2. Fig. 2 shows a process flow chart of a live room people counting method applied to counting real online people according to an embodiment of the present application, specifically including the following steps:
step 202: and determining 500 brushing rooms according to preset brushing prevention rules.
In a specific embodiment of the present application, it is determined that there are 500 brushing rooms in a live broadcast room currently being live broadcast in the live broadcast platform according to a preset brushing prevention rule.
Step 204: room attribute information of 500 swiped rooms is acquired.
In one embodiment of the present application, along the above example, room IDs of 500 swiped rooms are obtained.
Step 206: and determining an access user set corresponding to each brushing room according to each room attribute information.
In a specific embodiment of the present application, along the above example, a set of access users corresponding to each brushing room is determined according to the room ID of each brushing room.
Step 208: at least two sets of pending access users are determined in 500 swipe volumes of rooms, an intersection of each set of pending access users is determined, and an abnormal set of users is determined from the intersection.
In a specific embodiment of the present application, along with the above example, 500 sets of access users to be processed are determined in 500 rooms with a brushing amount, intersections of the 500 sets of access users to be processed in the rooms with brushing amount are determined, and the result of the intersections is an abnormal user set.
Step 210: obtaining an abnormal user number according to the abnormal user set, determining a target brushing room, obtaining the visiting user number of the target brushing room according to the visiting user set corresponding to the target brushing room, and counting the real user number corresponding to the target brushing room according to the visiting user number and the abnormal user number.
In a specific embodiment of the present application, following the above example, determining the abnormal user number as 100 according to the abnormal user set, determining the target brushing room m1 in 500 brushing rooms, obtaining the online watching number of the target brushing room m1 as 1500, and counting the online real watching number corresponding to the target brushing room as 1400 according to the visiting user number and the abnormal user number.
Step 212: and acquiring a room set of the brushing amount to be confirmed according to the abnormal user set, and adjusting the preset brushing prevention rule according to the room set of the brushing amount to be confirmed.
In a specific embodiment of the present application, the above example is used, a to-be-confirmed brushing volume room set is obtained according to an abnormal user set, whether each live broadcasting room in the to-be-confirmed brushing volume room set is a brushing volume room already determined is judged, and if the brushing volume rooms in the to-be-confirmed brushing volume room set are brushing volume rooms, a preset brushing prevention rule is not adjusted; if the room with the to-be-confirmed brushing amount has the room with the unconfirmed suspected brushing amount, regulating down the preset standard score in the preset brushing prevention rule according to the set of the room with the suspected brushing amount.
The live room people counting method applied to counting the real numbers of the online people comprises the following steps: determining 500 brushing rooms according to preset brushing prevention rules; acquiring room attribute information of 500 brushing rooms; determining at least two to-be-processed access user sets in 500 brushing rooms, determining an intersection of each to-be-processed access user set, and determining an abnormal user set according to the intersection; acquiring an abnormal user number according to an abnormal user set, determining a target brushing room, acquiring the visiting user number of the target brushing room according to a visiting user set corresponding to the target brushing room, and counting the real user number corresponding to the target brushing room according to the visiting user number and the abnormal user number; and acquiring a room set of the brushing amount to be confirmed according to the abnormal user set, and adjusting the preset brushing prevention rule according to the room set of the brushing amount to be confirmed. The brushing amount rooms are determined through preset brushing prevention rules, the visit user sets of all brushing amount rooms are queried reversely according to the brushing amount rooms, intersections of at least two visit user sets are obtained, abnormal user sets are obtained, the brushing amount user numbers are removed in real time according to the abnormal user sets, the real visit number of each living broadcasting room is obtained, and the standard of the preset brushing prevention rules is dynamically adjusted, so that whether the living broadcasting room is the brushing amount room can be judged more accurately.
Corresponding to the method embodiment, the present application further provides an embodiment of a live room people counting device, and fig. 3 shows a schematic structural diagram of the live room people counting device according to an embodiment of the present application. As shown in fig. 3, the apparatus includes:
an acquisition module 302 configured to acquire room attribute information corresponding to each of the plurality of brushing rooms;
a first determining module 304 configured to determine, according to the room attribute information, a set of access users corresponding to each of the swiped rooms;
a second determining module 306 configured to determine an abnormal set of users from a plurality of the access user sets;
the statistics module 308 is configured to count the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set.
Optionally, the first determining module 304 is further configured to:
determining a target brushing amount room;
and acquiring an access user set corresponding to the target brushing room from an access user database according to the room attribute information of the target brushing room.
Optionally, the second determining module 306 is further configured to:
determining at least two access user sets to be processed in a plurality of access user sets;
And determining an intersection of at least two to-be-processed access user sets, and determining an abnormal user set according to the intersection, wherein the abnormal user set comprises users with abnormal operations.
Optionally, the second determining module 306 is further configured to:
acquiring a user attribute information set corresponding to each to-be-processed access user set according to each to-be-processed access user set;
determining an intersection of user attribute information sets of each to-be-processed access user set, and determining an abnormal user attribute information set;
and determining an abnormal user set according to the abnormal user attribute information set.
Optionally, the statistics module 308 is further configured to:
and acquiring the abnormal user number according to the abnormal user set.
Optionally, the statistics module 308 is further configured to:
determining a target brushing room, and acquiring the number of access users of the target brushing room according to an access user set corresponding to the target brushing room;
and counting the real user number corresponding to the target brushing room according to the access user number and the abnormal user number.
Optionally, the obtaining module 302 is further configured to:
and determining at least two brushing rooms according to preset brushing prevention rules.
Optionally, the apparatus further comprises:
the adjustment module is configured to acquire a room set of the brushing amount to be confirmed according to the abnormal user set;
and adjusting the preset anti-brushing rule according to the room set of the brushing amount to be confirmed.
Optionally, the adjustment module is further configured to:
acquiring a room set to be checked according to the abnormal user set;
determining a target to-be-checked room in the to-be-checked room set;
judging whether the at least two brushing rooms comprise the target room to be audited or not;
if not, adding the target room to be checked to a room set with the brushing amount to be checked;
if yes, the target room to be checked is a brushing room.
Optionally, the adjustment module is further configured to:
determining a target abnormal user in the abnormal user set;
acquiring target access information of the target abnormal user;
and acquiring a room set to be checked according to the target access information corresponding to each abnormal user.
The utility model provides a pair of live room people counting assembly, include: the acquisition module is configured to acquire room attribute information corresponding to each brushing room in the brushing rooms; a first determining module configured to determine a set of access users corresponding to each of the swiped rooms according to the room attribute information; a second determining module configured to determine an abnormal user set from a plurality of the access user sets; and the statistics module is configured to count the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set. The method comprises the steps of acquiring room attribute information of at least two brushing rooms, determining an access user set corresponding to each brushing room according to the room attribute information of each brushing room, determining an abnormal user set according to the access user set of each brushing room, and counting the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set after determining the abnormal user set, wherein the heartbeat number in the abnormal user set can be automatically discarded in the subsequent statistics of the number of people, so that the number of brushing people is removed in real time, and the accuracy of the personal data in a live broadcasting room is ensured.
The foregoing is an exemplary scenario of a live room people counting device according to this embodiment. It should be noted that, the technical scheme of the live room people counting device and the technical scheme of the live room people counting method belong to the same conception, and details of the technical scheme of the live room people counting device which are not described in detail can be referred to the description of the technical scheme of the live room people counting method.
Fig. 4 illustrates a block diagram of a computing device 400 provided in accordance with an embodiment of the present application. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. Processor 420 is coupled to memory 410 via bus 430 and database 450 is used to hold data.
Computing device 400 also includes access device 440, access device 440 enabling computing device 400 to communicate via one or more networks 460. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. The access device 440 may include one or more of any type of network interface, wired or wireless (e.g., a Network Interface Card (NIC)), such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present application, the above-described components of computing device 400, as well as other components not shown in FIG. 4, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device illustrated in FIG. 4 is for exemplary purposes only and is not intended to limit the scope of the present application. Those skilled in the art may add or replace other components as desired.
Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server. Wherein the processor 420 performs the steps of the live room demographics method when executing the computer instructions.
The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device and the technical solution of the live room people counting method belong to the same conception, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the live room people counting method.
An embodiment of the present application also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the steps of the live room demographics method as described above.
The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solution of the live room people counting method belong to the same conception, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solution of the live room people counting method.
The foregoing describes specific embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all necessary for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The above-disclosed preferred embodiments of the present application are provided only as an aid to the elucidation of the present application. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the teaching of this application. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. This application is to be limited only by the claims and the full scope and equivalents thereof.
Claims (11)
1. A method for counting the number of people in a live broadcast room, comprising:
determining at least two brushing rooms according to preset brushing prevention rules, and acquiring room attribute information corresponding to each brushing room;
determining an access user set corresponding to each brushing room according to the room attribute information;
determining at least two to-be-processed access user sets in a plurality of access user sets, determining an intersection of the at least two to-be-processed access user sets, and determining an abnormal user set according to the intersection, wherein the abnormal user set comprises users with abnormal operations;
counting the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set;
and acquiring a room set with brushing amount to be confirmed according to the abnormal user set, and adjusting the preset brushing prevention rule according to the room set with brushing amount to be confirmed.
2. The live room demographics method of claim 1, wherein determining the set of access users for each of the swiped rooms based on the room attribute information comprises:
determining a target brushing amount room;
and acquiring an access user set corresponding to the target brushing room from an access user database according to the room attribute information of the target brushing room.
3. The live room demographics method of claim 1, wherein determining an intersection of at least two sets of pending access users and determining an abnormal set of users from the intersection comprises:
acquiring a user attribute information set corresponding to each to-be-processed access user set according to each to-be-processed access user set;
determining an intersection of user attribute information sets of each to-be-processed access user set, and determining an abnormal user attribute information set;
and determining an abnormal user set according to the abnormal user attribute information set.
4. The live room demographics method of claim 1, further comprising, before counting the number of real users corresponding to each of the swiped rooms from the set of access users corresponding to each of the swiped rooms and the set of abnormal users: and acquiring the abnormal user number according to the abnormal user set.
5. The live room demographics method of claim 4, wherein counting the number of real users corresponding to each brushing room based on the set of access users corresponding to each brushing room and the set of abnormal users comprises:
determining a target brushing room, and acquiring the number of access users of the target brushing room according to an access user set corresponding to the target brushing room;
And counting the real user number corresponding to the target brushing room according to the access user number and the abnormal user number.
6. The live room demographics method of claim 1, wherein obtaining a set of rooms to be validated based on the set of abnormal users comprises:
acquiring a room set to be checked according to the abnormal user set;
determining a target to-be-checked room in the to-be-checked room set;
judging whether the at least two brushing rooms comprise the target room to be audited or not;
if not, adding the target room to be checked to a room set with the brushing amount to be checked;
if yes, the target room to be checked is a brushing room.
7. The live room demographics method of claim 6, wherein obtaining a set of rooms to be checked from the set of abnormal users comprises:
determining a target abnormal user in the abnormal user set;
acquiring target access information of the target abnormal user;
and acquiring a room set to be checked according to the target access information corresponding to each abnormal user.
8. The live room demographics method of claim 1, wherein the room attribute information comprises room identification information, room interaction information.
9. A live room people counting device, comprising:
the acquisition module is configured to determine at least two brushing rooms according to preset brushing prevention rules and acquire room attribute information corresponding to each brushing room;
a first determining module configured to determine a set of access users corresponding to each of the swiped rooms according to the room attribute information;
the second determining module is configured to determine at least two to-be-processed access user sets in a plurality of access user sets, determine an intersection of the at least two to-be-processed access user sets, and determine an abnormal user set according to the intersection, wherein the abnormal user set comprises users with abnormal operations;
the statistics module is configured to count the number of real users corresponding to each brushing room according to the access user set corresponding to each brushing room and the abnormal user set;
the adjustment module is configured to acquire a room set with brushing amount to be confirmed according to the abnormal user set, and adjust the preset brushing prevention rule according to the room set with brushing amount to be confirmed.
10. A computing device comprising a memory, a processor, and computer instructions stored on the memory and executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the method of any one of claims 1-8.
11. A computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of the method of any one of claims 1-8.
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| PCT/CN2022/144350 WO2023151426A1 (en) | 2022-02-09 | 2022-12-30 | Method and device for counting number of users in live broadcast room |
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| CN114020996A (en) * | 2021-09-26 | 2022-02-08 | 武汉斗鱼网络科技有限公司 | Method, device, medium and computer equipment for identifying abnormal watching user |
| CN113947139A (en) * | 2021-10-13 | 2022-01-18 | 咪咕视讯科技有限公司 | User identification method, device and equipment |
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| CN110519263A (en) * | 2019-08-26 | 2019-11-29 | 北京百度网讯科技有限公司 | Anti- brush amount method, apparatus, equipment and computer readable storage medium |
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| WO2023151426A1 (en) | 2023-08-17 |
| CN114466214A (en) | 2022-05-10 |
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