WO2018000611A1

WO2018000611A1 - User data processing method and electronic device

Info

Publication number: WO2018000611A1
Application number: PCT/CN2016/099952
Authority: WO
Inventors: 张维新
Original assignee: 乐视控股（北京）有限公司; 乐视体育文化产业发展（北京）有限公司
Priority date: 2016-06-30
Filing date: 2016-09-23
Publication date: 2018-01-04
Also published as: CN105915963A

Abstract

Embodiments of the present invention relate to a user data processing method and an electronic device. The method comprises: within a period of time during which a current video is played, for the current video, collecting statistics about user behavior data of users which watch the current video; and calculating points of the users according to a preset rule on the basis of the user behavior data, wherein the user behavior data comprises: one or more of speeches of the users, camp selection and switching, and comments and praises about other users. The user data processing method and the electronic device provided by the embodiments of the present invention calculate the points of users on the basis of user behavior data within a period of time during which a video is played currently, so as to improve the activity of application usage of users, thereby increasing the share of the users.

Description

User data processing method and electronic device

cross reference

The present invention claims priority to Chinese Patent Application No. 201610509410.8, entitled "A User Data Processing Method and Apparatus", filed on June 30, 2016, the entire contents of which are incorporated by reference. In the present invention.

Technical field

The embodiments of the present invention relate to the field of communications technologies, and in particular, to a user data processing method and an electronic device.

Background technique

With the rapid development of the mobile Internet, sports video playback applications have become more diverse. As users have more choices, how to increase the user share of sports video playback applications has become particularly important.

Currently, in existing sports video playback applications, the processing method of user data is usually calculated according to the total amount of data. For example, the calculation of user points is usually calculated based on total points, including the total online time since registration, the number of utterances, and so on. Users with high points will receive an honorary user title or other corresponding reward.

However, this kind of selection method, the users with high points are very few customers who are often online. Most of the users are unable to obtain the honorary user title or other corresponding rewards due to the short online time or the number of viewing games, resulting in decreased user enthusiasm and reduced interaction. The user share has decreased.

The information disclosed in this Background section is only intended to increase the understanding of the general background of the embodiments of the invention, and should not be construed as an admission or in any way suggesting that the information constitutes prior art that is known to those of ordinary skill in the art. .

Summary of the invention

In view of this, the technical problem to be solved by the embodiments of the present invention is how to provide a user data processing method and an electronic device, which can reasonably process user data, reasonably calculate user points, and improve user enthusiasm.

In order to solve the above technical problem, the embodiment of the present invention provides a method for processing user data in a first aspect, including: counting, during a time period during which the current video is played, user behavior of a user viewing the current video for the current video. Data; calculating, according to the user behavior data, the user credit according to a preset rule, where the user behavior data includes one or more of a user's speech, camp selection and switching, and commenting on other users.

In a possible implementation, calculating the user credit according to the preset rule according to the user behavior data includes: calculating, according to the calculated user behavior data, each user behavior data corresponding to the user Integration; the user credit is the sum of the points of each of the user behavior data.

In a possible implementation manner, before the user behavior data of the user of the current video is counted, the method further includes: receiving a preset triggering operation; generating and storing the user behavior data according to the triggering operation. .

In a possible implementation manner, the method further includes: sorting the users who view the current video according to the points.

In a possible implementation manner, the method further includes: after the current video is played, clearing the user credit.

The embodiment of the present invention provides a user data processing apparatus, including: a statistics module, configured to periodically count user behavior data of a user who views the current video for the current video during a time period during which the current video is played. a calculation module, configured to calculate the user credit according to the preset rule according to the user behavior data, where the user behavior data includes: one of a user's speech, a camp selection and switching, and a comment on other users Or a variety.

In a possible implementation manner, the calculating module is further configured to: calculate, according to the calculated user behavior data, points corresponding to each user behavior data of the user; The score is the sum of the points of each of the user behavior data.

In a possible implementation, the method further includes: a storage module, configured to receive a preset trigger operation before the statistics module collects user behavior data of the user viewing the current video;

The user behavior data is generated and stored according to the triggering operation.

In a possible implementation manner, the apparatus further includes a sorting module, configured to sort the users who view the current video according to the integration.

In a possible implementation manner, the apparatus further includes a timing module, configured to clear the user credit after the current video is played.

The user data processing method and device provided by the embodiment of the present invention, by using the user behavior data according to the user behavior data, according to the current video, during the time period during which the current video is played, The preset rule calculates the user credit, and calculates the user's credit for the user behavior data in the current playing video time, improves the enthusiasm of the user to use the application, and improves the user occupation rate.

In order to achieve the above object, in another aspect, an embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicably coupled to the at least one processor; wherein the memory is stored The at least one processor executes instructions that are executed by the at least one processor to cause the at least one processor to perform the methods described in the various aspects above.

The electronic device provided by the embodiment of the present invention calculates the user behavior data of the user who views the current video for the current video during the time period in which the current video is played, and calculates according to the preset rule according to the user behavior data. The user credits realize the calculation of the user's points for the user behavior data in the current playing video time, improve the enthusiasm of the user to use the application, and improve the user occupation rate.

In order to achieve the above object, in another aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, where the non-transitory computer readable storage medium stores a computer executable finger The computer executable instructions are for performing the methods described in the various aspects above.

The non-transitory computer readable storage medium provided by the embodiment of the present invention collects user behavior data of a user who views the current video for the current video during a time period during which the current video is played, according to the user behavior data. The user points are calculated according to a preset rule, and the user's points are calculated for the user behavior data in the current playing video time, thereby improving the enthusiasm of the user to use the application and improving the user occupancy rate.

In order to achieve the above object, in another aspect, an embodiment of the present invention provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions When the program instructions are executed by a computer, the computer is caused to perform the methods described in the various aspects above.

The computer program product provided by the embodiment of the present invention collects user behavior data of the user who views the current video for the current video during the time period in which the current video is played, according to the user behavior data, according to a preset rule. Calculating the user points, calculating the user's points for the user behavior data in the current playing video time, improving the enthusiasm of the user to use the application, and improving the user occupancy rate.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

FIG. 1 is a flowchart of a user data processing method according to an embodiment of the present invention;

2 is a flowchart of a user data processing method according to still another embodiment of the present invention;

FIG. 3 is a flowchart of a user data processing method according to still another embodiment of the present invention;

Figure 4 is a schematic view showing a display method;

FIG. 5 is a schematic structural diagram of a user data processing apparatus according to an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a user data processing apparatus according to still another embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a user data processing apparatus according to still another embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a user data processing apparatus according to still another embodiment of the present invention;

FIG. 9 is a block diagram showing the structure of a user data processing electronic device according to another embodiment of the present invention.

detailed description

The preferred embodiments of the present invention are described with reference to the accompanying drawings, which are intended to illustrate and illustrate the invention.

The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention. The term "comprising" or variations such as "comprises" or "comprises", etc., are to be understood to include the recited elements or components, and Other components or other components are not excluded.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustrative." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or preferred.

In addition, numerous specific details are set forth in the Detailed Description of the invention in the Detailed Description. Those skilled in the art will appreciate that the invention may be practiced without some specific details. In some instances, methods, means, and components that are well known to those skilled in the art are not described in detail in order to facilitate the invention.

Example 1

FIG. 1 is a flowchart of a user data processing method according to an embodiment of the present invention. The method may be performed by an electronic device, such as a terminal device. As shown in FIG. 1, the method includes the following steps.

Step S2: During the time period in which the current video is played, the user behavior data of the user who views the current video is counted for the current video.

Step S3: Calculate the user credit according to the preset rule according to the user behavior data, where the user behavior data includes one or more of a user's speech, a camp selection and switching, and a comment on other users. .

Specifically, when the user watches the video and enters the chat room interface, the user behavior data statistics are performed on the user who views the current video, and the user credit is calculated. Moreover, after the preset time period is separated, the user behavior data is re-stated, and the user points are updated.

In order to facilitate the statistics of user points, different user behavior data can be set to the same weight, or different weights can be set according to the importance of user behavior for user integral calculation.

In the sports video playback software, it can be set to, camp selection and switching in the same video playback process, only one camp can be selected and the camp is switched. There is no limit to the number of statements and likes.

Therefore, the user data processing method provided by the embodiment of the present invention collects user behavior data of the user who views the current video for the current video during the time period during which the current video is played, according to the user behavior data. Calculating the user points according to the preset rules, realizing the calculation of the user's points for the user behavior data in the current playing video time, improving the enthusiasm of the user to use the application, and improving the user occupation rate.

Further, the user data processing method provided in this embodiment completely isolates the user's past behavior data. It is not affected by the overall point system of the user's time of use. While stimulating the continuous use of functions by old users, it also stimulates the desire of new users to use, so as to avoid new users from feeling their presence in use.

Example 2

FIG. 2 is a flowchart showing a user data processing method according to still another embodiment of the present invention. Steps in FIG. 2 that perform the same contents as FIG. 1 are denoted by the same reference numerals as those in FIG. 1. Referring to FIG. 2, the method provided in this embodiment includes the following steps.

In step S0, a preset trigger operation is received.

Step S1: Generate and store the user behavior data according to the triggering operation.

Specifically, the preset triggering operation may include user operations related to the social behavior, for example, operations for the user's speech, camp selection and switching, and comments to other users.

The user behavior data may include user speech data generated according to the user's speech, camp selection data generated according to the camp selection, camp switching data generated according to camp switching, and praise data generated according to the like.

In the sports video playing software, it can be set to, the camp selection and switching in the same video playing process, can only select one camp and switch the number of camp 0 speeches and praises without restrictions.

Therefore, the user data processing method provided by the embodiment generates and stores the user behavior data according to the triggering operation by receiving a preset triggering operation, and implements user credit data generated by saving, to calculate user points. Provide data support.

Example 3

FIG. 3 is a flowchart of a user data processing method according to still another embodiment of the present invention. The steps of the same reference numerals in FIG. 3 and FIG. 2 and FIG. 1 are the same as those in FIG. 2 and FIG. Text saying Bright. Referring to FIG. 3, the method provided in this embodiment includes the following steps.

Step S301: Calculate points corresponding to each user behavior data of the user according to the calculated user behavior data.

Step S302, the user credit is a sum of points of each of the user behavior data.

More specifically, the weight of each user's behavior data can be set according to the degree of importance, for example, 1 point for a speech, 0.2 points for a shortcut, 5 points for a camp, 3 points for a camp, and 0.05 points for a point. If the user makes two speeches and selects the camp at a time, the score of the household behavior data is 7 points.

Thus, the user data processing method provided by the embodiment calculates the points corresponding to each user behavior data of the user by using the user behavior data that has been counted, and the user points are each of the user behaviors. The sum of the points of the data realizes the calculation of the user's points, and realizes the calculation of the user's points for the user behavior data in the current playing video time, further improves the enthusiasm of the user to use the application, and improves the user occupation rate.

In a possible implementation, the following steps may also be included before step S2.

In step S0, a preset trigger operation is received.

In a possible implementation manner, the steps in this embodiment may further include the following steps.

Step S4, sorting the users who view the current video according to the points.

Specifically, the user is ranked according to the user's points from high to low, and the top three users with the highest user points can be displayed as honor users in the video playing interface to stimulate the enthusiasm of the user in the chat room. Please refer to FIG. 4, which is a schematic diagram of a display method.

More specifically, the display mode can be distinguished from ordinary users. For example, the user avatar supporting the A pair is a red circle, the user avatar supporting the B pair is a basketball ring, the user not supporting the team is a gray circle, and the honor user can be displayed as a gold circle. ring.

Moreover, after the preset time period is separated, the user's behavior data is re-stated, and the user points are updated, and the user ranking is performed again.

Therefore, the user data processing method provided in this embodiment sorts the users who view the current video according to the points, and the enthusiasm of the user in the chat room can be further improved.

In this embodiment, after step S4, the following steps may also be further included.

Step S5, after the current video is played, the user points are cleared.

Therefore, the user data processing method provided by the embodiment, after clearing the user points after the current video is played, realizes calculating the user's points for the user behavior data in the current playing video time, and improving the user's use of the application. At the same time, it is convenient for the user to calculate the points when watching the video next time.

Example 4

FIG. 5 is a schematic structural diagram of a user data processing apparatus according to an embodiment of the present invention. As shown in FIG. 5, the apparatus 10 includes a statistics module 110 and a calculation module 120.

The statistics module 110 is configured to count user behavior data of the user who views the current video for the current video during a time period during which the current video is played. The specific steps are similar to the above step S2, and details are not described herein again.

The calculating module 120 is configured to calculate, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes: one of a user's speech, a camp selection and switching, and a comment on other users. Or a variety. The specific steps are similar to the above step S3, and no longer 赘 Said.

In a possible implementation manner, the calculating module 120 is further configured to: calculate, according to the calculated user behavior data, a score corresponding to each user behavior data of the user; The sum of the points of each user behavior data.

Specifically, the weight of each user behavior data of the user may be set according to the degree of importance, for example, 1 point for the speech, 0.2 points for the shortcut word, 5 points for the camp, 3 points for the camp, and 0.05 points for the point. If the user makes two speeches and selects the camp at a time, the score of the household behavior data is 7 points.

Therefore, the user data processing apparatus according to an embodiment of the present invention calculates, by the counted user behavior data, points corresponding to each user behavior data of the user, where the user points are each of the items. The sum of the points of the user behavior data realizes the calculation of the user points, and realizes the calculation of the user's points for the user behavior data in the current playing video time, further improves the enthusiasm of the user to use the application, and improves the user occupation rate.

Example 5

FIG. 6 is a schematic structural diagram of a user data processing apparatus according to another embodiment of the present invention. As shown in FIG. 6, the apparatus 10 provided in this embodiment includes: a statistics module 110, a calculation module 120, and a storage module 130.

The calculating module 120 is configured to calculate, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes: a user's speech, camp selection and switching, and other One or more of the user's comments. The specific steps are similar to the above step S3, and details are not described herein again.

The storage module 130 is configured to: before the statistic module 110 counts user behavior data of the user of the current video, receive a preset triggering operation; and generate and store the user behavior data according to the triggering operation.

Therefore, the user data processing apparatus provided by the embodiment of the present invention generates and stores the user behavior data according to the triggering operation by receiving a preset triggering operation, and implements user behavior data generated by saving, thereby calculating a user. Points provide data support.

Example 6

FIG. 7 is a schematic structural diagram of a user data processing apparatus according to still another embodiment of the present invention. As shown in FIG. 7, the apparatus 10 provided in this embodiment includes: a statistics module 110, a calculation module 120, a storage module 130, and a sorting. Module 140.

The calculating module 120 is configured to calculate, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes: one of a user's speech, a camp selection and switching, and a comment on other users. Or a variety. The specific steps are similar to the above step S3, and details are not described herein again.

The calculating module 120 is further configured to: calculate, according to the calculated user behavior data, points corresponding to each user behavior data of the user; the user points are the number of each user behavior According to the sum of the points.

The sorting module 140 is configured to sort the users who view the current video according to the points.

Specifically, the user is ranked according to the user's points from high to low, and the top three users with the highest user points can be displayed as honor users in the video playing interface to stimulate the enthusiasm of the user in the chat room. Please refer to FIG. 4, which is a schematic diagram of a display method. In Figure 4, the top three users with the highest scores are displayed below the currently playing video.

Therefore, the user data processing apparatus provided in this embodiment can sort the users who view the current video according to the points, and can further improve the enthusiasm of the user in the chat room.

In a possible implementation, the storage module 130 is further configured to receive a preset triggering operation before the statistics module 110 counts user behavior data of the user of the current video; and according to the triggering Operation, generating and storing the user behavior data.

Therefore, the user data processing apparatus provided in this embodiment generates and stores the user behavior data according to the triggering operation by receiving a preset triggering operation, and implements user credit data generated by saving, to calculate user points. Provide data support.

Example 7

FIG. 8 is a schematic structural diagram of a user data processing apparatus according to still another embodiment of the present invention. As shown in FIG. 8, the apparatus 10 provided in this embodiment includes: a statistics module 110, a calculation module 120, and a storage module 130. Module 140 and timing module 150.

The calculating module 120 is further configured to: calculate, according to the calculated user behavior data, a score corresponding to each user behavior data of the user; the user credit is a sum of points of each of the user behavior data.

A timing module 150 is further included for clearing the user credits after the current video playback is completed.

Therefore, the user data processing apparatus provided by the embodiment, by clearing the user points after the current video is played, realizes calculating the user's points for the user behavior data in the current playing video time, and improving the user's use of the application. At the same time, it is convenient for the user to calculate the points when watching the video next time.

Example 8

Embodiments of the present invention provide a non-transitory (non-volatile) computer storage medium storing computer-executable instructions that can perform the methods of any of the foregoing method embodiments.

Example 9

FIG. 9 is a block diagram showing a structure of a user data processing electronic device according to another embodiment of the present invention. Figure. The network device 1100 may be a host server having a computing capability, a personal computer PC, or a portable computer or terminal that can be carried. The specific embodiments of the present invention do not limit the specific implementation of the computing node.

The network device 1100 includes a processor 1110, a communications interface 1120, a memory array 1130, and a bus 1140. The processor 1110, the communication interface 1120, and the memory 1130 complete communication with each other through the bus 1140.

The communication interface 1120 is configured to communicate with a network element, where the network element includes, for example, a virtual machine management center, shared storage, and the like.

The processor 1110 is configured to execute a program. The processor 1110 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

The memory 1130 is used to store files. The memory 1130 may include a high speed RAM memory and may also include a non-volatile memory such as at least one disk memory. Memory 1130 can also be a memory array. The memory 1130 may also be partitioned, and the blocks may be combined into a virtual volume according to certain rules.

In a possible implementation, the above program may be program code including computer operating instructions. The program is specifically applicable to: In a first aspect, a user data processing method is provided, including:

During the time period during which the current video is played, the user behavior data of the user viewing the current video is counted for the current video; and the user credit is calculated according to the preset rule according to the user behavior data, wherein the user behavior data Including: one or more of the user's speech, camp selection and switching, and comments on other users.

In a possible implementation manner, the user line of the user who views the current video is counted. Before the data, the method further includes: receiving a preset triggering operation; and generating and storing the user behavior data according to the triggering operation.

In a possible implementation manner, the method further includes: sorting users who view the current video according to the points.

In a possible implementation manner, the method further includes: clearing the user credit after the current video is played.

The above product can perform the method provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present invention.

Those skilled in the art will appreciate that embodiments of the present invention can 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 a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The electronic device of the embodiment of the invention exists in various forms, including but not limited to:

Mobile communication devices: These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication. Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

Ultra-mobile PC devices: These devices belong to the category of personal computers, have computing and processing functions, and generally have mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices, such as the iPad.

Portable entertainment devices: These devices can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, and smart toys and portable car navigation devices.

Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general-purpose computer architecture, but because of the need to provide highly reliable services, processing power, stability, and reliability. Security, scalability, manageability and other aspects are high.

Other electronic devices with data interaction capabilities.

The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on such understanding, the above technical solutions may be embodied in the form of software products in essence or in the form of software products, which may be stored in a computer readable storage medium such as a ROM/RAM or a disk. , an optical disk, etc., includes instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform the methods described in various embodiments or portions of the embodiments.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not limited thereto; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that The technical solutions described in the foregoing embodiments are modified, or the equivalents of the technical features are replaced. The modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Industrial applicability

The embodiment of the invention relates to a user data processing method and an electronic device, including: during the time period during which the current video is played, the user behavior data of the user who views the current video is counted for the current video; according to the user behavior data, according to the preset rule User credits are calculated, wherein the user behavior data includes one or more of a user's speech, camp selection and switching, and comments on other users. The user data processing method and the electronic device provided by the embodiments of the present invention implement the calculation of the user's points for the user behavior data in the current playing video time, improve the enthusiasm of the user to use the application, and improve the user occupation rate.

Claims

A user data processing method, which is executed by an electronic device, and includes:

During the time period during which the current video is played, the user behavior data of the user viewing the current video is counted for the current video;

And calculating, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes one or more of a user's speech, camp selection and switching, and commenting on other users.
The user data processing method according to claim 1, wherein calculating the user credit according to the preset rule according to the user behavior data comprises:

Calculating points corresponding to each user behavior data of the user according to the calculated user behavior data;

The user credit is the sum of the points of each of the user behavior data.
The user data processing method according to claim 1 or 2, further comprising: before statistically viewing user behavior data of the user of the current video,

Receiving a preset trigger operation;

The user behavior data is generated and stored according to the triggering operation.
The user data processing method according to claim 2, further comprising:

The users viewing the current video are sorted according to the points.
The user data processing method according to claim 4, further comprising:

After the current video is played, the user points are cleared.
A user data processing device, comprising:

a statistics module, configured to count user behavior data of a user who views the current video for the current video during a time period during which the current video is played;

a calculation module, configured to calculate the user credit according to the preset rule according to the user behavior data, where the user behavior data includes: one of a user's speech, a camp selection and switching, and a comment on other users or A variety.
The user data processing apparatus according to claim 6, wherein the calculation module is further configured to:

Calculating points corresponding to each user behavior data of the user according to the calculated user behavior data;

The user credit is the sum of the points of each of the user behavior data.
The user data processing device according to claim 6 or 7, further comprising a storage module, configured to: before the statistics module counts user behavior data of the user who views the current video,

Receiving a preset trigger operation;

The user behavior data is generated and stored according to the triggering operation.
The user data processing apparatus according to claim 7, further comprising a sorting module for sorting users who view the current video according to the points.
The user data processing apparatus according to claim 9, further comprising a timing module for clearing the user credit after the current video is played.
An electronic device comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

During the time period during which the current video is played, the user behavior data of the user viewing the current video is counted for the current video;

And calculating, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes one or more of a user's speech, camp selection and switching, and commenting on other users.
The electronic device of claim 11 wherein said instructions are executed by said at least one processor to enable said at least one processor to:

Calculating points corresponding to each user behavior data of the user according to the calculated user behavior data;

The user credit is the sum of the points of each of the user behavior data.
The electronic device of claim 11 or 12, wherein the instructions are executed by the at least one processor to enable the at least one processor to: user behavior of a user viewing the current video in statistics Receive a preset trigger operation before the data;

The user behavior data is generated and stored according to the triggering operation.
The electronic device of claim 12, wherein the instructions are executed by the at least one processor such that the at least one processor is further capable of:

The users viewing the current video are sorted according to the points.
The electronic device of claim 14, wherein the instructions are executed by the at least one processor to enable the at least one processor to further:

After the current video is played, the user points are cleared.
A non-transitory computer readable storage medium, wherein the non-transitory computer readable storage medium stores computer executable instructions for:

During the time period during which the current video is played, the user behavior data of the user viewing the current video is counted for the current video;

And calculating, according to the user behavior data, the user points according to a preset rule, where the user behavior data includes one or more of a user's speech, camp selection and switching, and commenting on other users.
The non-transitory computer readable storage medium of claim 16 wherein said computer executable instructions are:

Calculating points corresponding to each user behavior data of the user according to the calculated user behavior data;

The user credit is the sum of the points of each of the user behavior data.
A non-transitory computer readable storage medium according to claim 16 or 17, wherein The computer executable instructions are configured to: receive a preset triggering operation before statistically viewing the user behavior data of the user of the current video;

The user behavior data is generated and stored according to the triggering operation.
The non-transitory computer readable storage medium according to claim 17, wherein the computer executable instructions are further configured to:

The users viewing the current video are sorted according to the points.
The non-transitory computer readable storage medium of claim 19, wherein the computer executable instructions are further for:

After the current video is played, the user points are cleared.
A computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to execute The method of any of claims 1-5.