CN107846612B - Audience rating analysis method and device - Google Patents
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- CN107846612B CN107846612B CN201610835744.4A CN201610835744A CN107846612B CN 107846612 B CN107846612 B CN 107846612B CN 201610835744 A CN201610835744 A CN 201610835744A CN 107846612 B CN107846612 B CN 107846612B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- 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
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
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Abstract
The invention discloses a viewing analysis method and a device, which relate to the technical field of Internet and can realize measurement of comprehensive viewing performance of the same video content in various viewing types, and the method comprises the following steps: counting the total user watching duration of the preset video content in various watching types in the target time period; acquiring the total number of users in the system; and determining the comprehensive viewing performance of the preset video content in various viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. The invention is suitable for audience rating analysis.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a viewing analysis method and a viewing analysis device.
Background
With the rapid development of the internet, video resources are more and more abundant, and richer experience is provided for users. The user can watch the video program by different watching modes, and the watching modes comprise: live, on demand, review, time-shift, etc. The quality of each viewing type service is generally measured by three main indexes, namely viewing times, viewing user number and viewing duration.
Currently, for the live broadcast audience rating type, the audience rating of live broadcast content can be calculated to measure the audience rating performance of the live broadcast content. However, for other viewing types, similar algorithms are not used for calculation, so that the viewing performance of only one viewing type content can be measured, and when the same video content is viewed in multiple viewing types, the comprehensive viewing performance of the video content in the multiple viewing types cannot be measured.
Disclosure of Invention
In view of the above, the present invention has been made to provide a viewing analytics method and apparatus that overcomes or at least partially solves the above-mentioned problems.
In order to achieve the above purpose, the present invention mainly provides the following technical solutions:
in one aspect, the present invention provides a method for audience rating analysis, including:
counting the total user watching duration of the preset video content in various watching types in the target time period;
acquiring the total number of users in the system;
and determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the target time period duration.
Specifically, the determining, according to the total user viewing duration, the total number of users used, and the target time period duration, the comprehensive viewing performance of the predetermined video content in the multiple viewing types includes:
calculating the product of the target time period duration and the total number of the users to obtain a first numerical value;
and dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in the plurality of viewing types.
Optionally, the acquiring the total number of users in the system specifically includes:
acquiring the accumulated installed user number and the accumulated dismounted user number in the system at the end time of the target time period;
and calculating the difference between the accumulated installed user number and the accumulated dismounted user number to obtain the total used user number in the system.
Optionally, the acquiring the total number of users in the system specifically includes:
acquiring the accumulated installed user number and the accumulated disassembled user number in the system in each preset time interval at the end time of the target time period;
and calculating the average number of users in the system at the end moment of the target time period according to the accumulated installed user number and the accumulated uninstalled user number, and taking the average number of users as the total number of users in the system.
Optionally, the acquiring the total number of users in the system specifically includes:
recording the startup user identification information existing in the system in the target time period;
and calculating the total number of users in the system in the target time period according to the startup user identification information.
Specifically, the counting of the total viewing duration of the user of the predetermined video content in the multiple viewing types in the target time period specifically includes:
counting the user watching duration of the preset video content in each watching type in the target time period;
and summing the user viewing time lengths in each viewing type to obtain the user viewing total time length of the preset video content in the plurality of viewing types.
Specifically, the counting of the user viewing duration of the predetermined video content in each viewing type in the target time period specifically includes:
counting the watching duration of each user in a preset video content in a watching type in a target time period;
and summing the viewing time length of each user to obtain the user viewing time length of the preset video content in the viewing type.
In another aspect, the present invention provides an audience rating analyzing apparatus, including:
the statistical unit can be used for counting the total watching duration of the users of the preset video content in various watching types in the target time period;
an obtaining unit, configured to obtain a total number of users in the system in the target time period;
and the determining unit can be used for determining the comprehensive viewing performance of the preset video content in the multiple viewing types according to the total viewing duration of the user, the total number of users and the target time period duration.
Specifically, the determining unit is specifically configured to calculate a product of the target time period duration and the total number of users to obtain a first numerical value;
and dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in the plurality of viewing types.
Specifically, the acquisition unit includes:
the acquisition module is used for acquiring the accumulated installed user number and the accumulated dismounted user number in the system at the end moment of the target time period;
and the calculating module is used for calculating the difference between the accumulated installed user number and the accumulated dismounted user number acquired by the acquiring module to obtain the total used user number in the system.
Further, the obtaining module is further configured to obtain an accumulated installed user number and an accumulated dismounted user number in the system in each predetermined time interval at the end time of the target time period;
and the calculation module is further used for calculating the average number of users in the system at the end moment of the target time period according to the accumulated installed user number and the accumulated uninstalled user number, and taking the average number of users as the total number of users in the system.
Further, the acquiring unit further includes: a recording module;
the recording module is used for recording the startup user identification information existing in the system in the target time period;
and the calculating module is further used for calculating the total number of users in the system in the target time period according to the startup user identification information.
Specifically, the statistical unit includes:
the statistical module is used for counting the user watching duration of the preset video content in each watching type in the target time period;
and the summing module is used for summing the user viewing duration in each viewing type obtained by the statistics of the counting module to obtain the user viewing total duration of the preset video content in the plurality of viewing types.
Specifically, the statistics module is specifically configured to count viewing durations of each user in a viewing type of the predetermined video content in the target time period;
and summing the viewing time length of each user to obtain the user viewing time length of the preset video content in the viewing type.
By the technical scheme, the technical scheme provided by the embodiment of the invention at least has the following advantages:
the invention provides a viewing analysis method and a device, which are characterized in that the total viewing duration of a user of predetermined video content in various viewing types in a target time period is counted; then acquiring the total number of users in the system; and determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. Compared with the prior art that the audience rating of the live broadcast content can only be calculated to measure the audience rating performance of the live broadcast content, the invention determines the comprehensive audience rating performance of the preset video content in various audience rating types according to the total audience rating duration, the total number of users and the target time period duration of the preset video content in various audience rating types, can comprehensively reflect the comprehensive audience rating performance of the video content by using a simple index result, simplifies the audience rating analysis process, solves the problem that the audience rating type analysis cannot be carried out in a cross-audience rating mode, so that the audience rating performance of the video content can be comprehensively reflected.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart illustrating a method for audience rating analysis according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating another audience analysis method provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram illustrating an audience rating analyzing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another audience rating analyzing apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, an audience rating analysis method provided in an embodiment of the present invention includes:
101. and counting the total watching time length of the users of the preset video content in the plurality of watching types in the target time period.
The target time period may be set according to specific situations, for example, according to the audience analysis requirement of the video content, the comprehensive audience performance of the video content in yesterday needs to be analyzed, and the target time period may be set to a time period from 0 point to 24 points of yesterday. The predetermined video content may be a video content that needs to be subjected to comprehensive audience performance analysis, and may be preset according to actual requirements. The watching types can be live broadcasting, on-demand broadcasting, review, time shifting and the like.
For example, the target time period is a time period from 0 to 24 yesterday, and in the time period, user viewing durations respectively corresponding to the four viewing types of live broadcasting, on-demand broadcasting, review and time shifting of the video a are counted, specifically, the user viewing durations respectively corresponding to the four viewing types of the video a are 15 hours, 12 hours, 3.5 hours and 1 hour, and the four user viewing durations are summed to obtain the total user viewing duration of the video a in the four viewing types, which is 31.5 hours.
102. And acquiring the total number of users in the system.
The total number of users may be the number of users with viewing capability in the system. Specifically, the number of users with viewing capability in the system can be calculated as the total number of users according to the telephone access sampling result, and/or sampling questionnaire information, and/or information uploaded by the set-top box.
For example, in order to analyze the viewing performance of the predetermined video content on the day of 7/3/2010, the total number of all users on the day of 7/3/2010 may be calculated as the total number of users in the system according to the information uploaded by the set-top box.
103. And determining the comprehensive viewing performance of the preset video content in various viewing types according to the total viewing duration of the users, the total number of users and the duration of the target time period.
The target time period duration may be a time duration within the target time period, for example, if the target time period is from 0 o 'clock to 12 o' clock of a certain day, then the corresponding target time period duration is 12 hours.
For example, the product of the target time period duration and the total number of users may be calculated, and then the total user viewing duration is divided by the product value to obtain an index result as the comprehensive viewing performance of the predetermined video content in the plurality of viewing types, wherein a higher index result value indicates better comprehensive viewing performance of the video content, and a lower index result value indicates worse comprehensive viewing performance of the video content.
The embodiment of the invention provides a viewing analysis method, which comprises the steps of firstly counting the total viewing duration of a user of a preset video content in a plurality of viewing types in a target time period; then acquiring the total number of users in the system; and determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. Compared with the method that the audience rating of the live broadcast content can only be calculated to measure the audience rating performance of the live broadcast content, the embodiment of the invention determines the comprehensive audience rating performance of the preset video content in various audience rating types according to the total audience rating duration, the total number of users and the target time period duration of the preset video content in the various audience rating types, can comprehensively reflect the comprehensive audience rating performance of the video content by using a simple index result, simplifies the audience rating analysis process, solves the problem that the cross-audience rating type analysis cannot compare the audience rating performance of the video content, enables data among the audience rating types to be complementary, and can comprehensively reflect the audience rating performance of the video content.
Specifically, an embodiment of the present invention provides another audience rating analysis method, as shown in fig. 2, where the method includes:
201. and counting the user watching time length of the preset video content in each watching type in the target time period.
The concept explanations of the target time period, the predetermined video content, and the viewing type may refer to the corresponding descriptions in step 101, and are not described herein again.
For the embodiment of the present invention, step 201 may specifically include: counting the watching duration of each user in a preset video content in a watching type in a target time period; and summing the viewing time length of each user to obtain the user viewing time length of the preset video content in the viewing type.
For example, within 24 hours of the predetermined time period, five users watch the program a in a live broadcast manner, the watching durations of the five users are 0.3 hour, 1.2 hour, 0.5 hour and 0.1 hour respectively, and 1 hour, the watching durations of the five users are summed, so that the watching duration of the user of the program a in the live broadcast watching type is 3.1 hours.
202. And summing the user viewing time lengths in each viewing type to obtain the user viewing total time length of the preset video content in the plurality of viewing types.
For example, the total viewing duration of the live viewing type, the total viewing duration of the on-demand viewing type, the total viewing duration of the review viewing type, and the total viewing duration of the time-shift viewing type of all viewing users are counted, and the total viewing duration of the four viewing types is equal to the sum of the total viewing durations of the four viewing types.
In the embodiment of the invention, the total user viewing duration of the same video content in various viewing types is obtained by calculating the total user viewing duration of each viewing type, and the index result capable of measuring the comprehensive viewing performance of the video content is calculated by taking the total user viewing duration as a parameter, so that the cross-viewing type analysis is realized, and the viewing performance of the video content can be comprehensively reflected.
203. And acquiring the total number of users in the system.
In the embodiment of the invention, as the business of the client develops new users at every moment, the total number of the users at different moments is different, so that the total number of the users of the system can select a proper acquisition method according to different focus points of business analysis.
Specifically, step 203 may specifically include: acquiring the accumulated installed user number and the accumulated dismounted user number in the system at the end time of the target time period; and calculating the difference between the accumulated installed user number and the accumulated dismounted user number to obtain the total used user number in the system. The accumulated installed user number can be the total number of users who have ordered the designated service or installed the designated set-top box product at the end time of the accumulated target time period; the accumulated number of users for dismantling the set-top box can be the total number of users for unsubscribing the designated service or dismantling the designated set-top box product at the end time accumulated to the target time period.
It should be noted that, for the above-mentioned method of calculating the difference between the accumulated installed user number and the accumulated uninstalled user number to obtain the total used user number in the system, the important point is that the viewing performance of all users who can use the service is reached by the end time of the target time period, and the obtained total used user number value is the largest and the greatest, and is more suitable for analyzing the short-term viewing performance of the predetermined video content.
Step 203 may further include: acquiring the accumulated installed user number and the accumulated disassembled user number in the system in each preset time interval at the end time of the target time period; and calculating the average number of users in the system at the end moment of the target time period according to the accumulated installed user number and the accumulated uninstalled user number, and taking the average number of users as the total number of users in the system. The preset time interval can be configured according to service requirements, for example, the preset time interval can be set to 24 hours, the target time period is a period from 0 point to 24 points of yesterday, the difference between the accumulated installed user number and the accumulated uninstalled user number in the system every day in one month until 24 points of yesterday is calculated, the total number of users every day is obtained, and the average value is obtained, so that the total number of users in the system is obtained.
It should be noted that, in the above-described manner of calculating the average number of users in the system as the total number of users in the system by the end time of the target time period, the important point is that the tie level of the number of users who smoothly develop within a certain period by the end time of the target time period is more suitable for analyzing the long-term viewing performance of the predetermined video content.
Specifically, step 203 may specifically include: recording the startup user identification information existing in the system in the target time period, and calculating the total number of users in the system in the target time period according to the startup user identification information. The startup user identification information may be identification information of a user having a startup behavior recorded in the system in a target time period, the user may be a user watching predetermined video content, or may be a user not watching the predetermined video content but watching other video content, and the startup user identification information may specifically be a name, an Identity (Identity) number, and the like of the user.
In the embodiment of the invention, the startup user identification information corresponds to the user uniquely, so that the total number of users in the system can be calculated according to the startup user identification information, the accuracy of the calculated total number of users in the system can be ensured, and the accuracy of the audience rating analysis of the video content can be improved.
204. And calculating the product of the target time period duration and the total number of the users to obtain a first numerical value.
The target time period duration may be a time duration within the target time period.
205. And dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in various viewing types.
In the embodiment of the present invention, the integrated viewing performance of the predetermined video content is total viewing duration of multiple viewing types/(predetermined time duration total number of users used) × 100%, and for the total viewing duration of multiple viewing types, the total viewing duration of all users of each viewing type is first calculated. For example, the total live viewing duration, the total on-demand viewing duration, the total review viewing duration, and the total time shift viewing duration of all viewing users are respectively accumulated, then the total viewing durations of all viewing users of each viewing type are cumulatively summed, that is, the total viewing durations of the four viewing types are the total live viewing duration, the total on-demand viewing duration, the total review viewing duration, and the total time shift viewing duration, and the calculated result is that the predetermined video content is in the target time period, and the comprehensive viewing performance in the four viewing types is measured according to the measurement.
For example, if there are 5 users in a time period from 0 point to 24 points on a day, the total time length for live viewing of a certain video content is 1.2 hours, the total time length for on-demand viewing is 0.8 hours, and the total time length for review viewing is 0.4 hours, then the total time length for viewing of the video content by the users in the three viewing types is 2.4 hours, the total time length of the day is 24 hours, and there are 10 users with viewing ability in the system, then the comprehensive pickup performance of the video content is as follows: 2.4 hr/(24 hr 10) × 100% ═ 1%.
To facilitate analyzing viewership of the video content over different time periods, after step 206, the method may further include: and storing the second numerical value in a preset storage position, wherein the preset storage position stores second numerical values respectively corresponding to the preset video content in different target time periods, so that the comprehensive value information of the preset video content is analyzed according to the second numerical values respectively corresponding to the preset video content in different time periods. The preset storage location may be configured in advance according to actual requirements, for example, the preset storage location may be a data list, a database, or the like for storing viewing analysis data.
The other audience rating analysis method provided by the embodiment of the invention comprises the steps of firstly counting the total audience rating duration of a user of preset video content in various audience rating types in a target time period; then acquiring the total number of users in the system; and determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. Compared with the method that the audience rating of the live broadcast content can only be calculated to measure the audience rating performance of the live broadcast content, the embodiment of the invention determines the comprehensive audience rating performance of the preset video content in various audience rating types according to the total audience rating duration, the total number of users and the target time period duration of the preset video content in the various audience rating types, can comprehensively reflect the comprehensive audience rating performance of the video content by using a simple index result, simplifies the audience rating analysis process, solves the problem that the cross-audience rating type analysis cannot compare the audience rating performance of the video content, enables data among the audience rating types to be complementary, and can comprehensively reflect the audience rating performance of the video content.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present invention provides an audience rating analyzing apparatus, as shown in fig. 3, where the apparatus includes: a counting unit 31, an acquisition unit 32, a determination unit 33.
The counting unit 31 may be configured to count a total viewing duration of the predetermined video content in the plurality of viewing categories in the target time period.
The obtaining unit 32 may be configured to obtain the total number of users in the system.
The determining unit 33 may be configured to determine, according to the total user viewing duration counted by the counting unit 31, the total number of users acquired by the acquiring unit 32, and the target time period duration, the comprehensive viewing performance of the predetermined video content in multiple viewing types.
It should be noted that, for other corresponding descriptions of the functional units related to the audience rating analyzing apparatus provided in the embodiment of the present invention, reference may be made to the corresponding description in fig. 1, and details are not repeated here.
The audience rating analyzing device comprises a statistical unit, an obtaining unit, a determining unit and the like, wherein the statistical unit is used for counting the total audience rating duration of a user of preset video content in various audience rating types in a target time period; then, acquiring the total number of users in the system through an acquisition unit; and finally, a determining unit determines the comprehensive viewing performance of the preset video content in the multiple viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. Compared with the method that the audience rating of the live broadcast content can only be calculated to measure the audience rating performance of the live broadcast content, the embodiment of the invention determines the comprehensive audience rating performance of the preset video content in various audience rating types according to the total audience rating duration, the total number of users and the target time period duration of the preset video content in the various audience rating types, can comprehensively reflect the comprehensive audience rating performance of the video content by using a simple index result, simplifies the audience rating analysis process, solves the problem that the cross-audience rating type analysis cannot compare the audience rating performance of the video content, enables data among the audience rating types to be complementary, and can comprehensively reflect the audience rating performance of the video content.
Further, as a specific implementation of the method shown in fig. 2, another audience rating analyzing apparatus is provided in an embodiment of the present invention, as shown in fig. 4, the apparatus includes: a counting unit 41, an acquisition unit 42, a determination unit 43.
The counting unit 41 may be configured to count a total viewing duration of the predetermined video content in the plurality of viewing types during the target time period.
The obtaining unit 42 may be configured to obtain the total number of users in the system.
The determining unit 43 may be configured to determine, according to the total user viewing duration counted by the counting unit 41, the total number of users acquired by the acquiring unit 42, and the target time period duration, the comprehensive viewing performance of the predetermined video content in multiple viewing types.
The determining unit 43 is specifically configured to calculate a product of the target time period duration and the total number of users to obtain a first numerical value; and dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in the plurality of viewing types.
Specifically, the acquisition unit 42 includes: an acquisition module 421 and a calculation module 422.
The obtaining module 421 may be configured to obtain the cumulative number of installed users and the cumulative number of dismounted users in the system at the time when the target time period expires.
The calculating module 422 may be configured to calculate a difference between the accumulated installed user number and the accumulated dismounted user number obtained by the obtaining module 421, so as to obtain a total number of users in the system.
Further, the obtaining module 421 may be further configured to obtain an accumulated installed user number and an accumulated dismounted user number in the system in each predetermined time interval at the end time of the target time period.
The calculating module 422 may be further configured to calculate, according to the accumulated installed user number and the accumulated uninstalled user number, an average number of users in the system at the time when the target time period ends, as a total number of users in the system.
Further, the obtaining unit 42 may further include: a recording module 423.
The recording module 423 may be configured to record the power-on user identification information existing in the system in the target time period.
The calculating module 422 may be further configured to calculate, according to the startup user identification information, a total number of users in the system in the target time period.
Further, the statistical unit 41 includes: a statistics module 411, a summation module 412.
The counting module 411 may be configured to count the user viewing duration of the predetermined video content in each viewing type in the target time period.
The summing module 412 may be configured to sum the user viewing durations in each viewing type counted by the counting module 411, so as to obtain a total user viewing duration of the predetermined video content in multiple viewing types.
The counting module 411 may be specifically configured to count viewing durations of each user in a viewing type of predetermined video content in a target time period; and summing the viewing time length of each user to obtain the user viewing time length of the preset video content in the viewing type.
Further, the apparatus further comprises: a storage unit 44.
The storage unit 44 may be configured to store the second value in a preset storage location, where second values corresponding to the predetermined video content in different target time periods are stored in the preset storage location.
And further, analyzing the comprehensive value information of the preset video content according to the corresponding second numerical value of the preset video content in different time periods.
It should be noted that, for other corresponding descriptions of the functional units related to another audience rating analyzing apparatus provided in the embodiment of the present invention, reference may be made to the corresponding description in fig. 2, which is not described herein again.
The other viewing analysis device provided by the embodiment of the invention comprises a statistical unit, an acquisition unit, a determination unit and the like, wherein the statistical unit is used for counting the total viewing duration of a user of a preset video content in various viewing types in a target time period; then, acquiring the total number of users in the system through an acquisition unit; and finally, a determining unit determines the comprehensive viewing performance of the preset video content in the multiple viewing types according to the total viewing duration of the users, the total number of users and the target time period duration. Compared with the method that the audience rating of the live broadcast content can only be calculated to measure the audience rating performance of the live broadcast content, the embodiment of the invention determines the comprehensive audience rating performance of the preset video content in various audience rating types according to the total audience rating duration, the total number of users and the target time period duration of the preset video content in the various audience rating types, can comprehensively reflect the comprehensive audience rating performance of the video content by using a simple index result, simplifies the audience rating analysis process, solves the problem that the cross-audience rating type analysis cannot compare the audience rating performance of the video content, enables data among the audience rating types to be complementary, and can comprehensively reflect the audience rating performance of the video content.
The audience rating analyzing device comprises a processor and a memory, wherein the statistical unit, the acquisition unit, the determination unit, the storage unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that the comprehensive viewing performance of the same video content in various viewing types cannot be measured in the prior art is solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The present application further provides a computer program product adapted to perform program code for initializing the following method steps when executed on a data processing device: counting the total user watching duration of the preset video content in various watching types in the target time period; acquiring the total number of users in the system; and determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the target time period duration.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An audience rating analysis method, comprising:
counting the total watching duration of a user of a predetermined video content in a plurality of watching types in a target time period, wherein the plurality of watching types comprise: the system comprises a live broadcast watching type, an on-demand watching type, a review watching type and a time-shift watching type, wherein the total watching duration of users is the sum of the watching duration of each user in each watching type of the preset video content in the target time period;
acquiring the total number of users in the system, wherein the total number of users is the number of users with viewing capability in the system at the end time of the target time period or within the target time period;
determining the comprehensive viewing performance of the preset video content in the plurality of viewing types according to the total viewing duration of the users, the total number of users and the duration of the target time period;
determining the comprehensive viewing performance of the predetermined video content in the multiple viewing types according to the total viewing duration of the users, the total number of users and the target time period duration, specifically comprising:
calculating the product of the target time period duration and the total number of the users to obtain a first numerical value;
and dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in the plurality of viewing types.
2. The audience analysis method of claim 1, wherein the obtaining of the total number of users in use in the system specifically comprises:
acquiring the accumulated installed user number and the accumulated dismounted user number in the system at the end time of the target time period;
and calculating the difference between the accumulated installed user number and the accumulated dismounted user number to obtain the total used user number in the system.
3. The audience analysis method of claim 1, wherein the obtaining of the total number of users in use in the system specifically comprises:
acquiring the accumulated installed user number and the accumulated disassembled user number in the system in each preset time interval at the end time of the target time period;
and calculating the average number of users in the system at the end moment of the target time period according to the accumulated installed user number and the accumulated uninstalled user number, and taking the average number of users as the total number of users in the system.
4. The audience analysis method of claim 1, wherein the obtaining of the total number of users in use in the system specifically comprises:
recording the startup user identification information existing in the system in the target time period;
and calculating the total number of users in the system in the target time period according to the startup user identification information.
5. The audience analysis method of claim 1, wherein the statistics of the total length of time spent watching the video content by the user in the plurality of viewing categories within the target time period comprise:
counting the user watching duration of the preset video content in each watching type in the target time period;
and summing the user viewing time lengths in each viewing type to obtain the user viewing total time length of the preset video content in the plurality of viewing types.
6. The audience analysis method of claim 5, wherein the statistics of the user audience exposure durations of the video content in each audience type within the target time period comprise:
counting the watching duration of each user in a preset video content in a watching type in a target time period;
and summing the viewing time length of each user to obtain the user viewing time length of the preset video content in the viewing type.
7. An audience rating analyzing apparatus comprising:
a counting unit, configured to count a total viewing duration of a user of a predetermined video content in a plurality of viewing types in a target time period, where the plurality of viewing types include: the system comprises a live broadcast watching type, an on-demand watching type, a review watching type and a time-shift watching type, wherein the total watching duration of users is the sum of the watching duration of each user in each watching type of the preset video content in the target time period;
an obtaining unit, configured to obtain a total number of users in a system, where the total number of users is an end time of the target time period or a number of users with viewing capability in the system within the target time period;
a determining unit, configured to determine, according to the total user viewing duration counted by the counting unit, the total number of users acquired by the acquiring unit, and the target time period duration, a comprehensive viewing performance of the predetermined video content in the multiple viewing types;
the determining unit is specifically configured to calculate a product of the target time period duration and the total number of users to obtain a first numerical value;
and dividing the total viewing duration of the user by the first numerical value to obtain a second numerical value which is used as the comprehensive viewing performance of the preset video content in the plurality of viewing types.
8. The audience analysis apparatus of claim 7, wherein the obtaining unit comprises:
the acquisition module is used for acquiring the accumulated installed user number and the accumulated dismounted user number in the system at the end moment of the target time period;
and the calculating module is used for calculating the difference between the accumulated installed user number and the accumulated dismounted user number acquired by the acquiring module to obtain the total used user number in the system.
9. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the audience analysis method according to any one of claims 1 to 6.
10. A processor, wherein the processor is configured to execute a program, wherein the program is configured to execute the audience analysis method of any of claims 1 to 6 when executed.
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