CN114390351A - Live data statistical method and device, computer equipment and readable storage medium - Google Patents

Abstract

The invention relates to the technical field of big data analysis, and discloses a statistical method, device, computer equipment and readable storage medium for live broadcast data, including: acquiring behavior information of audience users; wherein the behavior information includes the behavior information of audience users in the live broadcast room. Online status; obtaining behavior information of audience users includes: assigning numbers to audience users in the live broadcast room for marking; recording the online status of the marked audience users; statistics of live broadcast data in the live broadcast room according to the behavior information; live broadcast data for anchor users feedback; the live broadcast data is updated every preset time. The present invention provides a statistical method for live broadcast data. By uploading user behavior information at predetermined time intervals, the user's situation in the live broadcast room can be instantly fed back, and the user behavior information in the live broadcast room can be fed back in real time, while avoiding the need for the live broadcast room. Statistical errors caused by instability causing users to exit the live broadcast room.

Description

A statistical method, device, computer equipment and readable storage medium for live broadcast data

technical field

The present invention relates to the technical field of big data analysis, in particular to a statistical method, device, computer equipment and readable storage medium for live broadcast data.

Background technique

The live broadcast industry is an emerging industry with future prospects. The host broadcasts the live broadcast in the live broadcast room, and users can enter the live broadcast room to watch the live broadcast at any time. For the broadcaster engaged in the live broadcast industry, the live broadcast effect can be analyzed by viewing user data to make corresponding adjustments. is an important skill.

At present, the way to count user data is to report when the user enters the live broadcast room and when he leaves the live broadcast room, and calculates the user's viewing time by the difference between the two time nodes; the disadvantage of this technology is that there are users who are caused by force majeure factors Information is lost, and there is no immediate feedback on the user's behavior.

SUMMARY OF THE INVENTION

The object of the present invention is to provide a statistical method, device, computer equipment and readable storage medium for live data, aiming to solve the problem that the user's behavior cannot be fed back in time in the prior art.

The present invention is implemented in this way. In the first aspect, the present invention provides a statistical method for live broadcast data, including:

Acquiring behavior information of audience users; wherein, the behavior information includes the online status of the audience users in the live broadcast room; the acquiring behavior information of the audience users includes: assigning numbers to the audience users in the live broadcast room for mark; record the marked online status of the audience user.

The live broadcast data of the live broadcast room is counted according to the behavior information; wherein, the live broadcast data of the live broadcast room includes: the number of the audience users, the number of views of the live broadcast room, the per capita viewing time of the audience users, and all the live broadcast data. The number of people online in the live room in real time.

Feedback of the live broadcast data to the anchor user;

The live broadcast data is updated every preset time.

In one embodiment, the obtaining the live broadcast data of the live broadcast room according to the behavior information includes:

Statistics on the online status of a single viewer user according to the mark, so as to obtain live broadcast data of a single viewer user;

Statistics are performed on the live broadcast data of all the audience users according to the mark, so as to obtain the live broadcast data of the live broadcast room.

In one embodiment, the feedback of the live broadcast data to the host user includes:

establishing a window on the live broadcast room interface of the anchor user;

The live data is displayed in the window.

In one embodiment, the updating of the live broadcast data every preset time includes:

Statistics of the latest live broadcast data every preset time;

Feedback of the latest live broadcast data is performed in the window.

In one embodiment, the method for statistics of live broadcast data further includes:

Detecting whether the live broadcast data meets a preset standard;

Obtain the high-frequency vocabulary of the anchor user in the time period when the live broadcast data meets the preset standard;

Tag processing is performed on the live room according to the high-frequency vocabulary.

In one of the embodiments, tag processing is performed on the live room according to the high-frequency vocabulary, including:

establishing a tab window on the preview interface of the live room;

The high frequency words are displayed in the tab window.

In this embodiment, the present invention provides a statistical method for live broadcast data. By uploading user behavior information every predetermined time, the situation of users in the live broadcast room can be instantly fed back. Compared with the traditional live broadcast data statistical method for obtaining the user's behavior information in the live broadcast room, the method provided by the present invention can feedback the user behavior information in the live broadcast room in real time, and at the same time avoid the instability of the live broadcast room causing the user to exit the live broadcast room. statistical error.

In a second aspect, the present invention provides a statistical device for live broadcast data, including:

a collection module; the collection module is used to obtain the behavior information of the audience user;

a statistics module; the statistics module is configured to count the live broadcast data of the live broadcast room according to the behavior information;

A query module; the query module is used to provide feedback to the host user of the live broadcast data and to update the live broadcast data every preset time.

In a third aspect, the present invention provides a computer device, comprising:

the memory is used to store programs;

The processor is configured to execute the program and implement any one of the above-mentioned statistical methods for live broadcast data when executing the program.

In a fourth aspect, the present invention provides a readable storage medium, the readable storage medium stores a program, and when the program is executed by a processor, the processor enables the processor to realize any one of the above-mentioned live streaming data. statistical methods.

Description of drawings

1 is a schematic flowchart of a statistical method for live broadcast data provided by the first embodiment of the present invention;

FIG. 2 is a specific flowchart of step S1 of a statistical method for live broadcast data provided by the second embodiment of the present invention;

FIG. 3 is a specific flowchart of step S2 of a method for statistics of live broadcast data provided by the third embodiment of the present invention;

FIG. 4 is a specific flowchart of step S3 of a method for statistics of live broadcast data provided by the fourth embodiment of the present invention;

FIG. 5 is a specific flowchart of step S4 of a method for statistics of live broadcast data provided by the fifth embodiment of the present invention;

6 is a schematic flowchart of a specific flow of an expansion operation of a statistical method for live broadcast data provided by the sixth embodiment of the present invention;

FIG. 7 is a specific flowchart of step S03 of an expansion operation of a statistical method for live broadcast data provided by the seventh embodiment of the present invention;

8 is a schematic diagram of a statistical device for live broadcast data provided by the present invention;

FIG. 9 is a schematic structural diagram of a computer device provided by the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The same or similar numbers in the drawings of this embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation or a specific orientation. structure and operation, so the terms describing the positional relationship in the accompanying drawings are only used for exemplary illustration, and should not be construed as a limitation on this patent, and those of ordinary skill in the art can understand the specific meanings of the above terms according to specific situations.

The implementation of the present invention will be described in detail below with reference to specific embodiments.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of a method for statistics of live broadcast data provided by the first embodiment of the present invention.

The present invention provides a statistical method for live broadcast data, including:

Step S1: Acquire behavior information of the audience user.

Specifically, the behavior information includes the online status of the audience user in the live broadcast room; more specifically, the online status can be divided into two situations: online and offline; when the online status of the audience user is online, it indicates that the audience user is in the live broadcast room , when the online status is not online, it means that the audience user is not in the live broadcast room; it is understandable that by calculating the duration of the online status of the audience user, the viewing time of the audience user in the live broadcast room can be obtained.

Specifically, acquiring the behavior information of the audience users includes two steps of assigning numbers to the audience users in the live broadcast room for marking and recording the online status of the tagged audience users; more specifically, the numbers assigned to the audience users are arbitrarily extracted A random number, the function of the number is to mark audience users, so the random numbers drawn are not repeated; it is understandable that in order to save the space used for allocating random numbers, the allocated random numbers are reset every 24 hours , and reassign random numbers as numbers to the audience users who enter the live broadcast room for marking.

Step S2: Statistics of live broadcast data in the live broadcast room according to the behavior information.

Specifically, the live broadcast data includes the number of audience users, the number of views of the live broadcast room, the per capita viewing time of the audience users, and the real-time online number of the live broadcast room.

More specifically, each audience user has a unique number as a mark, and the number of audience users can be obtained by accumulating the number of marks.

More specifically, the number of views of the live room refers to the number of times viewer users click to enter the live room, and the number of viewer users entering the live room can be obtained by accumulating the number of viewer users who have been online for the first time and those who have been online again after being offline.

More specifically, the per capita live viewing time of audience users is obtained by dividing the total live viewing time of audience users by the number of audience users, and the total live viewing time of audience users can be obtained by accumulating the online status of audience users.

More specifically, the real-time number of people in the live broadcast room refers to the number of audience users in the current live broadcast room, and the real-time number of people in the live broadcast room can be obtained by counting the number of users whose current online status is online.

Step S3: feedback the live broadcast data to the host user;

Specifically, on the live broadcast room interface of the host user, real-time feedback is performed on the live broadcast data, and data for analyzing the live broadcast situation is provided to the host, so as to adjust the live broadcast strategy in a targeted and timely manner.

It is understandable that, in order to take care of the viewing experience of viewer users, there may be differences in the interface of the live broadcast room of the host user and the audience user. On the interface of the audience user, only the live broadcast data of part of the live broadcast room is displayed, such as the current number of people in the live broadcast room.

Step S4: Update the live broadcast data every preset time.

Specifically, the behavior information of the current audience users is obtained every preset time, and the live broadcast data of the current live broadcast room is obtained through statistics, and the old live broadcast data is replaced with the new live broadcast data to realize the real-time update of the live broadcast data and ensure the live broadcast data. of timeliness.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a specific flow of step S1 of a method for statistics of live broadcast data provided by the second embodiment of the present invention.

Step S11: Allocate numbers to the audience users in the live room for marking.

Specifically, when an audience user enters the live broadcast room, a random number is assigned to the audience user as a number for marking; it can be understood that the tag is used to distinguish the audience user, so that the uploaded behavior information can be counted according to the tag later, so assigning The number given to each audience user in the live room is different.

Step S12: Record the online status of the marked viewer user.

Specifically, the online status of the audience user is divided into online and offline; it can be understood that the live broadcast data of the live broadcast room can be obtained by calculating and comparing the online status of the audience user.

More specifically, the marked online state of the audience user is uploaded into a database, where the database is used to store the online state of the audience user and perform statistics on it to obtain live broadcast data of the live room.

Referring to FIG. 3 , FIG. 3 is a specific flowchart of step S2 of a method for statistics of live broadcast data provided by a third embodiment of the present invention.

Step S21: Count the online status of a single viewer user according to the mark, so as to obtain live broadcast data of the single viewer user.

Specifically, by counting all the online status information of a single user, the live broadcast data of the single user can be obtained; for example, the first online status of user A is "11:00 online", and the last online status is "12:00" Not online", then user A's viewing time is one hour; for example, user B's first online status is "14:00 online", the last status is "15:00 offline", and there are offline online statuses in between. If the status is "not online at 14:30" once, user B browses the live broadcast room twice.

Step S22: Statistical statistics are performed on the live broadcast data of all viewer users according to the mark, so as to obtain the live broadcast data of the live broadcast room.

Specifically, the live broadcast data includes the number of audience users, the number of views of the live broadcast room, the per capita viewing time of the audience users, and the real-time online number of the live broadcast room.

More specifically, each audience user has a unique number as a mark, and the number of audience users can be obtained by accumulating the number of marks.

More specifically, the number of views of the live room refers to the number of times viewer users click to enter the live room, and the number of viewer users entering the live room can be obtained by accumulating the number of viewer users who have been online for the first time and those who have been online again after being offline.

More specifically, the per capita live viewing time of audience users is obtained by dividing the total live viewing time of audience users by the number of audience users, and the total live viewing time of audience users can be obtained by accumulating the online status of audience users.

More specifically, the real-time number of people in the live broadcast room refers to the number of audience users in the current live broadcast room, and the real-time number of people in the live broadcast room can be obtained by counting the number of users whose current online status is online.

Referring to FIG. 4 , FIG. 4 is a specific flowchart of step S3 of a method for statistics of live broadcast data provided by a fourth embodiment of the present invention.

Step S31: Create a window on the live broadcast room interface of the host user.

Specifically, a window with a function of displaying data is established on the interface of the live broadcast room used by the host user to display the live broadcast data, so that the host user can adjust the live broadcast strategy according to the live broadcast data.

Step S32: Display the live broadcast data in the window.

Specifically, the live broadcast data includes the number of audience users, the number of views of the live broadcast room, the per capita viewing time of the audience users, and the real-time online number of the live broadcast room.

More specifically, the live broadcast data is displayed not only to the host user, but also to the audience user; it is understandable that, for the viewing experience of the audience user, the live broadcast data displayed in the window provided to the audience user is only part of the live broadcast data, such as the current live broadcast room. number of people.

Referring to FIG. 5 , FIG. 5 is a specific flowchart of step S4 of a method for statistics of live broadcast data provided by a fifth embodiment of the present invention.

Step S41: Count the latest live broadcast data every preset time.

Specifically, at preset time intervals, the latest behavior information of viewer users is obtained, and the latest live broadcast data is obtained by statistics, so as to ensure the timeliness of the live broadcast data.

More specifically, the preset time in this embodiment is 10S, the behavior information of the user in the live broadcast room is uploaded every 10S, the behavior information of the user in the live broadcast room can be updated every 10S, and the user enters the live broadcast room by uploading the information. Compared with the traditional live broadcast data statistical method for obtaining the user's behavior information in the live broadcast room by leaving the live broadcast room, the method provided by the present invention can provide feedback on the user behavior information in the live broadcast room in real time, while avoiding the instability of the live broadcast room and causing the user Statistical errors caused by exiting the live broadcast room.

Step S42: Feedback the latest live broadcast data in the window.

Specifically, after the live broadcast data is updated, the window provides immediate feedback, so as to realize the instant update of the live broadcast data.

In this embodiment, the present invention provides a statistical method for live broadcast data. By uploading user behavior information every predetermined time, the situation of users in the live broadcast room can be instantly fed back. Compared with the traditional live broadcast data statistical method for obtaining the user's behavior information in the live broadcast room, the method provided by the present invention can feedback the user behavior information in the live broadcast room in real time, and at the same time avoid the instability of the live broadcast room causing the user to exit the live broadcast room. statistical error.

Referring to FIG. 6, FIG. 6 is a schematic flowchart of a specific flow of an expansion operation of a statistical method for live broadcast data provided by a sixth embodiment of the present invention.

This expansion operation includes:

Step S01: Detecting whether the live broadcast data meets a preset standard.

Specifically, a detection standard is preset to measure the popularity of the live broadcast room by comparing it with the live broadcast data. When the obtained live broadcast data meets the preset detection standard, it means that the popularity of the time period represented by the live broadcast data has reached expectations. The goal.

Step S02: Acquire the high-frequency vocabulary of the anchor user in the time period in which the live broadcast data meets the preset standard.

Specifically, when the live broadcast data meets the preset standard, it means that the popularity of the live broadcast room during this period has reached the expected target, then voice recognition is performed on the speech of the anchor user during these time periods, and the high-frequency words appearing in them are obtained.

Step S03: Perform tag processing on the live room according to the high-frequency vocabulary.

Specifically, after the high-frequency vocabulary is obtained, it is made into the label of the live broadcast room, and the label will appear on the interface of the live broadcast room of the anchor user and the audience user, and the label will also appear in the preview of the audience user searching for the live broadcast room. On the interface, audience users can have a general understanding of the content of the live broadcast room.

Referring to FIG. 7 , FIG. 7 is a specific flowchart of step S03 of an expansion operation of a statistical method for live broadcast data provided by a seventh embodiment of the present invention.

Step S031: Create a tab window on the preview interface of the live broadcast room.

Specifically, the preview interface of the live room is an interface with a preview function for the content of the live room before clicking to enter the live room.

Step S032: Display the high-frequency words in the label window.

Specifically, the tag window is used to provide an area for displaying keywords, and the keywords are used to introduce the content of the live broadcast room; more specifically, the acquired high-frequency words are selected as keywords to be displayed in the tag window.

Referring to FIG. 8 , FIG. 8 is a schematic diagram of an apparatus for statistics of live broadcast data provided by the present invention.

A statistical device for live broadcast data includes:

Collection module 1; used to obtain behavior information of audience users;

Statistics module 2; the statistics module is used to count the live broadcast data of the live broadcast room according to the behavior information;

Query module 3; the query module is used to provide feedback of the live broadcast data to the host user and to update the live broadcast data every preset time.

Referring to FIG. 9, FIG. 9 is a schematic diagram of a computer device provided by the present invention.

The present invention provides a computer device, comprising:

memory for storing computer programs;

The processor is configured to execute the computer program and implement a statistical method for live broadcast data as provided above when the computer program is executed.

In a computer device provided by the invention, the processor is used to provide computing and control capabilities and support the operation of the entire computer device.

The memory may include non-volatile storage media and internal memory.

The nonvolatile storage medium can store operating systems and programs. The program includes program instructions, which, when executed, can cause the processor to execute any one of the above-mentioned statistical methods for live broadcast data.

The internal memory provides an environment for running the program of the non-volatile storage medium for the detection method for the appearance of a Chinese medicine plug. When the program is executed by the processor, the processor can execute any one of the above statistical methods of live data.

The network interface is used for network communication, such as sending assigned tasks.

Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the equipment to which the solution of the present application is applied. More or fewer components are shown in the figures, either in combination or with different arrangements of components.

It should be understood that the processor may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuits) Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. Wherein, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor or the like.

Those skilled in the art can understand that the structure in the above-mentioned computer equipment is only a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. More or fewer components, or some components are combined, or have a different arrangement of components.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, ROM/RAM, magnetic or optical disks, etc.) having computer-usable program code embodied therein.

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

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that Any modifications, equivalent substitutions, improvements, etc., provided by the instructions to implement one flow or multiple flows in the flowchart and/or one of the block diagrams, should be included within the scope of the present invention.

In this embodiment, the image acquisition block or the steps of the functions specified in the blocks.

The embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program, the computer program includes program instructions, and the processor executes the program instructions to implement the present application Any statistical method for live broadcast data provided in the embodiment.

The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiments, such as a hard disk or a memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) equipped on the computer device card, flash card (Flash Card) and so on.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention, and all are done within the spirit and principles of the present invention.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (9)

1. A statistical method of live broadcast data is characterized by comprising the following steps:

acquiring behavior information of audience users; wherein the behavior information comprises an online status of the audience user in a live room; the acquiring of the behavior information of the audience user comprises: assigning numbers to the audience users in the live room for tagging; recording the marked online status of the audience users;

counting live broadcast data of the live broadcast room according to the behavior information; wherein, the live broadcast data of the live broadcast room comprises: the number of the audience users, the browsing times of the live broadcast room, the live broadcast watching time length of each audience user and the real-time online number of the live broadcast room;

feeding back the live broadcast data to a main broadcast user;

and updating the live broadcast data at preset intervals.

2. The statistical method of the live broadcast data of claim 1, wherein the step of obtaining the live broadcast data of the live broadcast room according to the behavior information comprises:

counting the online state of the single audience user according to the mark to obtain the live broadcast data of the single audience user;

and counting the live broadcast data of all the audience users according to the marks so as to obtain the live broadcast data of the live broadcast room.

3. A statistical method of live data according to claim 1, wherein the feedback of the live data to the anchor user comprises:

establishing a window on a live broadcast room interface of the anchor user;

displaying the live data in the window.

4. A statistical method for live broadcast data according to claim 3, wherein the updating the live broadcast data at preset time intervals comprises:

counting the latest live broadcast data at preset time intervals;

and feeding back the latest live data in the window.

5. A statistical method for live broadcast data according to claim 1, wherein the statistical method for live broadcast data further comprises:

detecting whether the live broadcast data meet a preset standard or not;

acquiring high-frequency words of the anchor user in a time period when the live data meet the preset standard;

and performing label processing on the live broadcast room according to the high-frequency vocabulary.

6. The statistical method of the live broadcast data as claimed in claim 5, wherein the tagging of the live broadcast room according to the high frequency vocabulary includes:

establishing a label window on a preview interface of the live broadcast room;

and displaying the high-frequency words in the label window.

7. A statistical apparatus for live data, comprising:

a collection module; the collecting module is used for acquiring the behavior information of the audience users;

a statistical module; the statistical module is used for counting the live broadcast data of the live broadcast room according to the behavior information;

a query module; the query module is used for feeding back the live broadcast data to a main broadcast user and updating the live broadcast data at preset time intervals.

8. A computer device, comprising:

the memory is used for storing programs;

the processor is used for executing the program and realizing a statistical method of live data according to any one of claims 1 to 6 when the program is executed.

9. A readable storage medium, characterized in that the readable storage medium stores a program, which when executed by a processor causes the processor to implement a statistical method of live data as claimed in any one of claims 1 to 6.

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