CN109561328B - Method and device for determining audience rating of broadcast television program - Google Patents

Method and device for determining audience rating of broadcast television program Download PDF

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CN109561328B
CN109561328B CN201811594634.9A CN201811594634A CN109561328B CN 109561328 B CN109561328 B CN 109561328B CN 201811594634 A CN201811594634 A CN 201811594634A CN 109561328 B CN109561328 B CN 109561328B
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audience rating
time interval
live
broadcast television
television program
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CN109561328A (en
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郑冠雯
肖红江
贾宏君
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Planning Institute of Radio and Television of the State Administration of Radio and Television
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Radio And Television Planning Institute State Administration Of Press Publication Radio Film And Television
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management 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
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management 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
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44204Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/4508Management of client data or end-user data

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  • Databases & Information Systems (AREA)
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Abstract

The invention discloses a method and a device for determining audience rating of broadcast television programs, wherein the method comprises the following steps: splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval; respectively determining live broadcast audience rating and non-live broadcast audience rating corresponding to each time interval; carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval; respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program; and determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.

Description

Method and device for determining audience rating of broadcast television program
Technical Field
The present invention relates to the field of program audience rating technologies, and in particular, to a method and an apparatus for determining an audience rating of a broadcast television program.
Background
Currently, the audience rating is the most important technical means for evaluating broadcast television programs. In the broadcast television industry, the audience rating is an important index for measuring the broadcast television program propagation effect, and plays an important role in links of program transaction, advertisement sale and the like.
The audience rating is obtained by collecting user audience rating behavior data in an automatic or manual mode.
The automatic mode is to record the watching condition of the broadcast television program by using a measuring instrument. The engineer visits the door to install the meter for the sample user. The measuring instrument automatically transmits data back to the data center every day through GPRS.
The manual approach is to sample the viewing of the user filling in the broadcast television program on the diary card. The investigator can go to the door at regular time to recover the diary card.
At present, the accuracy of the audience rating obtained by collecting the user audience rating behavior data according to the two modes is low.
In addition to the live viewing mode, time shifting, review, and on-demand have also become important viewing modes for broadcast television programs. The current audience rating is obtained based on a live viewing mode, and the audience rating obtained based on the live viewing mode is difficult to comprehensively, objectively and effectively reflect the actual spreading effect of the broadcast television program.
Disclosure of Invention
It is an object of the present invention to provide a new solution for determining the rating of a broadcast television program.
According to a first aspect of the present invention, there is provided a method for determining an audience rating of a broadcast television program, comprising:
splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval;
respectively determining live broadcast audience rating and non-live broadcast audience rating corresponding to each time interval;
carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval;
respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program;
and determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
Optionally, the splitting the broadcast time of the broadcast television program to obtain a plurality of time intervals includes:
carrying out average splitting processing on the total time length of the broadcast television programs to obtain time intervals with equal time length; alternatively, the first and second electrodes may be,
and carrying out non-average splitting processing on the total time length of the broadcast television program to obtain time intervals with unequal time lengths.
Optionally, in a case where the average splitting processing is performed on the total duration of the broadcast television program, the duration of each time interval is equal to the duration of a preset minimum audience data sampling interval.
Optionally, in a case that the duration of each time interval is equal to the duration of a preset minimum audience data sampling interval, the respectively determining the live audience rating and the non-live audience rating corresponding to each time interval includes:
acquiring the number of sample users, the number of users watching programs in a live broadcast mode in each time interval and the number of users watching programs in a non-live broadcast mode in each time interval;
and determining the live broadcast audience rating corresponding to each time interval according to the sample user number and the number of users watching the program in a live broadcast manner in each time interval, and determining the non-live broadcast audience rating corresponding to each time interval according to the sample user number and the number of users watching the program in a non-live broadcast manner in each time interval.
Optionally, the respectively determining the live audience rating and the non-live audience rating corresponding to each time interval includes:
acquiring the number of sample users, the watching time length of a user watching a program in a live broadcast mode in each time interval and the watching time length of a user watching a program in a non-live broadcast mode in each time interval;
determining the live broadcast audience rating corresponding to each time interval according to the number of the sample users, the watching time length of the user watching the program in the live broadcast mode in each time interval and the time length of the time interval;
and determining the non-live audience rating corresponding to each time interval according to the number of the sample users, the watching time length of the user watching the program in the non-live broadcast mode in each time interval and the time length of the time interval.
Optionally, the method further comprises:
determining the live broadcast audience rating of the broadcast television program according to the live broadcast audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
determining a contribution degree value of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program; and/or the presence of a gas in the gas,
determining the non-live broadcast audience rating of the broadcast television program according to the non-live broadcast audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
and determining the contribution degree value of the non-live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the non-live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
Optionally, the non-live viewership comprises one or more of a time-shifted viewership rating, a review viewership rating, and an on-demand viewership rating.
Optionally, where the non-live viewership includes a time-shifted viewership, a review viewership, and an on-demand viewership,
carrying out linear superposition processing on the live broadcast audience rating, the time-shifting audience rating and the review audience rating corresponding to each time interval to obtain the audience rating of the broadcast television platform corresponding to each time interval, and taking the on-demand audience rating corresponding to each time interval as the audience rating of the internet platform corresponding to each time interval;
determining the audience rating of the broadcast television program on the broadcast television platform according to the audience rating of the broadcast television platform corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
and determining the audience rating of the broadcast television program on the Internet platform according to the on-demand audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
According to a second aspect of the present invention, there is provided an apparatus for determining an audience rating of a broadcast television program, comprising:
the splitting module is used for splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval;
the first determining module is used for respectively determining the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval;
the linear superposition processing module is used for carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval;
the weight proportion value determining module is used for respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program;
and the second determining module is used for determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
According to a third aspect of the present invention, there is provided an apparatus for determining the rating of a broadcast television program, comprising a memory and a processor, the memory storing executable instructions for controlling the processor to operate to perform the method according to any one of the first aspect.
According to one embodiment of the invention, the total duration of the broadcast television program is split to obtain a plurality of time intervals and the duration of each time interval; respectively determining live broadcast audience rating and non-live broadcast audience rating corresponding to each time interval; carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval; respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program; and determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval, so that the accuracy of the audience rating of the broadcast television program is improved, and the audience rating determined by the embodiment of the invention can comprehensively, objectively and effectively reflect the actual transmission effect of the broadcast television program.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a process flow diagram of a method for determining a rating of a broadcast television program according to one embodiment of the present invention.
Fig. 2 is a schematic block diagram of an apparatus for determining a rating of a broadcast television program according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware configuration of an apparatus for determining an audience share of a broadcast television program according to an embodiment of the present invention.
Fig. 4 is a diagram illustrating the number of users viewing programs in different viewing manners according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a live audience rating corresponding to each time interval and a comprehensive audience rating corresponding to each time interval according to an embodiment of the present invention.
Fig. 6 is a diagram illustrating the number of users viewing programs in different viewing manners according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of the audience rating of the broadcast television platform corresponding to each time interval and the audience rating of the internet platform corresponding to each time interval according to an embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
< method examples >
Fig. 1 is a process flow diagram of a method for determining a rating of a broadcast television program according to one embodiment of the present invention.
As shown in fig. 1, the method for determining the audience rating of a broadcast television program at least comprises the following steps:
step S1100, splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval.
In the embodiment of the invention, the average splitting processing is carried out on the total time length of the broadcast television programs to obtain time intervals with equal time length. Or, carrying out non-average splitting processing on the total time length of the broadcast television program to obtain time intervals with unequal time lengths.
And step S1200, respectively determining the live audience rating and the non-live audience rating corresponding to each time interval.
The live audience rating refers to an audience rating corresponding to watching a broadcast television program in a live mode.
The non-live audience rating is an audience rating corresponding to a broadcast television program watched in a non-live manner (time-shifted, review, or on-demand). Time shifting refers to the user being able to view live content at any playback time in the past. The non-live viewership comprises one or more of a time-shifted viewership, a review viewership, and an on-demand viewership.
In this embodiment of the present invention, the determining the live audience rating and the non-live audience rating corresponding to each time interval in step S1200 may include the following steps:
step S1210, obtaining the number of sample users, the watching time length of the user watching the program in a live broadcast mode in each time interval and the watching time length of the user watching the program in a non-live broadcast mode in each time interval;
step S1220, determining the live broadcast audience rating corresponding to each time interval according to the number of sample users, the watching time length of the user watching the program in the live broadcast mode in each time interval and the time length of the time interval;
step S1230, determining the non-live audience rating corresponding to each time interval according to the number of sample users, the watching time length of the user watching the program in the non-live broadcast manner in each time interval, and the time length of the time interval.
Respectively calculating to obtain the live broadcast audience rating, the time-shifting audience rating, the review audience rating and the on-demand audience rating corresponding to a single time interval based on the following calculation formulas (1a) - (1d),
Figure BDA0001921071850000071
wherein RtgaFor a corresponding live rating, n, for a single time intervalaFor the number of users watching a program live in a single time interval, taiThe viewing duration of the ith user in a single time interval is shown, Dur is the duration of the single time interval, and S is the number of sample users.
Figure BDA0001921071850000072
Wherein RtgbFor time-shifted ratings, n, corresponding to a single time intervalbFor the number of users watching a program in a time-shifted manner within a single time interval, tbiThe viewing duration of the ith user in a single time interval is shown, Dur is the duration of the single time interval, and S is the number of sample users.
Figure BDA0001921071850000073
Wherein RtgcFor a corresponding review rating, n, for a single time intervalcNumber of users watching a program in a review mode in a single time interval, tciThe viewing duration of the ith user in a single time interval is shown, Dur is the duration of the single time interval, and S is the number of sample users.
Figure BDA0001921071850000074
Wherein RtgdFor the corresponding on-demand rating, n, of a single time intervaldFor the number of users watching a program on demand in a single time interval, tdiThe viewing duration of the ith user in a single time interval is shown, Dur is the duration of the single time interval, and S is the number of sample users.
It should be noted that the manner for determining the live audience rating corresponding to each time interval provided in steps S1210 to S1230 is applicable to both the case of performing average splitting processing on the total duration of the broadcast television program and the case of performing non-average splitting processing on the total duration of the broadcast television program.
And step S1300, performing linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval.
When the non-live audience ratings comprise a time-shifting audience rating, a review audience rating and an on-demand audience rating, calculating a comprehensive audience rating corresponding to a single time interval based on the following calculation formula (2),
Rtgsheet=Rtga+Rtgb+Rtgc+Rtgd-calculating equation (2).
When the non-live audience rating includes one or any two of the time-shift audience rating, the review audience rating and the on-demand audience rating, the non-live audience rating may be adjusted based on the calculation formula (2).
And step S1400, respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program.
Calculating the weight proportion value of the comprehensive audience rating corresponding to a single time interval based on the following calculation formula (3),
Figure BDA0001921071850000081
wherein, wiIs the weight ratio value of the comprehensive audience rating corresponding to the ith time interval, DuriIs as followsDuration of i time intervals, DurGeneral assemblyIs the total duration of the broadcast television program.
When the average splitting processing is performed on the total time length of the broadcast television program, since the time lengths of the time intervals obtained by splitting are equal, the weight proportion values of the comprehensive audience ratings corresponding to the time intervals obtained based on the above calculation formula (3) are equal, that is, the weight proportion values are equal
Figure BDA0001921071850000082
And N is the number of time intervals obtained by splitting the total time length of the broadcast television program.
And S1500, determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
In the embodiment of the present invention, the total rating of the broadcast television program is calculated based on the following calculation formula (4),
Figure BDA0001921071850000083
wherein Rtg is the comprehensive audience rating of the broadcast television program, N is the number of time intervals obtained by splitting the total time length of the broadcast television program, and wiA weight ratio value, Rtg, of the integrated rating corresponding to the ith time intervalSingle iAnd the comprehensive audience rating corresponding to the ith time interval.
When the average splitting processing is performed on the total time length of the broadcast television program, the above calculation formula (4) can be converted into a calculation formula (5),
Figure BDA0001921071850000084
it should be understood that, when the average splitting process is performed on one broadcast television program, the more time intervals obtained by splitting, the shorter the duration of the obtained time intervals, so that the accuracy of the audience rating of the obtained broadcast television program is higher.
It should be noted that the duration of each time interval cannot be smaller than the duration of the preset audience data sampling interval. For example, the duration of the preset audience data sampling interval is 60 s.
In one example, a broadcast television program is subjected to average splitting processing, and the duration of each time interval is obtained to be equal to the duration of a preset minimum viewing data sampling interval. Because the duration of each time interval is equal to the duration of the preset minimum audience data sampling interval, a user has one-time watching behavior in one time interval. The step S1200 of determining the live audience rating or the non-live audience rating corresponding to each time interval respectively includes the following steps,
step S1230, obtain the number of sample users, the number of users watching programs in live broadcast manner in each time interval, and the number of users watching programs in non-live broadcast manner in each time interval.
Step S1240, determining the live audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the live broadcast mode in each time interval, and determining the non-live audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the non-live broadcast mode in each time interval.
Specifically, the above calculation formulas (1a) - (1d) are converted into the following calculation formulas (6a) - (6d), respectively,
Figure BDA0001921071850000091
wherein RtgτaFor a live rating, n, corresponding to a single time interval of duration tauaThe number of users having a viewing behavior in a single time interval is shown, and S is the sample user number.
Accordingly, the number of the first and second electrodes,
Figure BDA0001921071850000092
wherein RtgτbTime-shifted ratings, n, for a single time interval of duration τbThe number of users having a viewing behavior in a single time interval.
Figure BDA0001921071850000093
Wherein RtgτcFor a review rating, n, corresponding to a single time interval of duration taucThe number of users having a viewing behavior in a single time interval.
Figure BDA0001921071850000094
Wherein RtgτdFor the on-demand rating, n, corresponding to a single time interval of duration taudThe number of users having a viewing behavior in a single time interval.
In one embodiment of the invention, the live broadcast audience rating of the broadcast television program is determined according to the weight proportion value of the live broadcast audience rating corresponding to each time interval and the comprehensive audience rating corresponding to each time interval; and determining the contribution degree value of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
The live audience rating of the broadcast television program is calculated based on the following calculation formula (7a),
Figure BDA0001921071850000101
wherein RtgLive broadcastThe number of time intervals obtained by splitting the total time length of the broadcast television program is N, and w is the live audience rating of the broadcast television programiA weight ratio value, Rtg, of the integrated rating corresponding to the ith time intervalaiAnd the current time interval is the corresponding live broadcast audience rating of the ith time interval. RtgaiCan be calculated based on the above calculation formula (1 a).
Calculating and obtaining the contribution degree value C of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program based on the following calculation formula (7b)1
Figure BDA0001921071850000102
In one embodiment of the invention, the non-live audience rating of the broadcast television program is determined according to the weight proportion value of the non-live audience rating corresponding to each time interval and the comprehensive audience rating corresponding to each time interval; and determining the contribution degree value of the non-live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the non-live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
Taking the non-live audience rating including the time-shift audience rating, the review audience rating and the on-demand audience rating as an example, the non-live audience rating of the broadcast television program is calculated based on the following calculation formula (8a),
Figure BDA0001921071850000103
wherein RtgNon-live broadcastThe non-live audience rating of the broadcast television program, N is the number of time intervals obtained by splitting the total time length of the broadcast television program, and wiA weight ratio value, Rtg, of the integrated rating corresponding to the ith time intervalbi、Rtgci、RtgdiRespectively is the time-shifting audience rating, the review audience rating and the on-demand audience rating corresponding to the ith time interval. Rtgbi、Rtgci、RtgdiIt can be calculated based on the above-described calculation formula (1b), calculation formula (1c), and calculation formula (1 d).
Calculating and obtaining the contribution degree value C of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program based on the following calculation formula (8b)2
Figure BDA0001921071850000111
It should be understood that the live viewing mode, the time-shift viewing mode and the review viewing mode are based on the viewing mode generated by the broadcast television platform, and the on-demand viewing mode is based on the viewing mode generated by the internet platform.
In one embodiment, the rating of the broadcast television program on the broadcast television platform and the rating on the internet platform may be determined based on the following steps.
And step S1600, carrying out linear superposition processing on the live broadcast audience rating, the time-shifting audience rating and the review audience rating corresponding to each time interval to obtain the audience rating of the broadcast television platform corresponding to each time interval, and taking the on-demand audience rating corresponding to each time interval as the audience rating of the internet platform corresponding to each time interval.
Step S1700 determines the audience rating of the broadcast television program on the broadcast television platform according to the audience rating of the broadcast television platform corresponding to each time interval and the weight ratio value of the integrated audience rating corresponding to each time interval, and determines the audience rating of the broadcast television program on the internet platform according to the on-demand audience rating corresponding to each time interval and the weight ratio value of the integrated audience rating corresponding to each time interval.
Calculating the audience rating Rtg of the broadcast television program on a broadcast television platform based on the following calculation formula (9a)Broadcasting
Figure BDA0001921071850000112
Calculating the audience rating Rtg of the broadcast television program on the Internet platform based on the following calculation formula (9b)Internet network
Figure BDA0001921071850000113
And after the audience rating of the broadcast television program on the broadcast television platform and the audience rating of the internet platform are obtained, comparing the audience rating of the broadcast television program on the broadcast television platform with the audience rating of the internet platform to obtain a comparison result. And determining the broadcasting platform corresponding to the broadcast television program with higher audience rating according to the comparison result.
< apparatus embodiment >
Fig. 2 is a schematic block diagram of an apparatus for determining a rating of a broadcast television program according to an embodiment of the present invention.
As shown in fig. 2, the apparatus for determining the audience share of the broadcast television program includes a splitting module 2100, a first determining module 2200, a linear superposition processing module 2300, a weight proportion value determining module 2400, and a second determining module 2500.
The splitting module 2100 is configured to split the total duration of the broadcast television program to obtain a plurality of time intervals and durations of the time intervals.
The first determining module 2200 is configured to determine live audience ratings and non-live audience ratings corresponding to the time intervals, respectively.
The linear superposition processing module 2300 is used for performing linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval;
the weight proportion value determining module 2400 is configured to determine a weight proportion value of the comprehensive audience rating corresponding to each time interval according to the duration of each time interval and the total duration of the broadcast television program.
The second determining module 2500 is configured to determine the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight ratio of the comprehensive audience rating corresponding to each time interval.
In one embodiment, the splitting module 2100 is further configured to split the total duration of the broadcast television program averagely to obtain time intervals with equal duration; or, carrying out non-average splitting processing on the total time length of the broadcast television program to obtain time intervals with unequal time lengths.
Under the condition of carrying out average splitting processing on the total time length of the broadcast television programs, the time length of each time interval is equal to the time length of a preset minimum audience data sampling interval.
In an embodiment, whether the average splitting processing is performed on the total duration of the broadcast television program or the non-average splitting processing is performed on the total duration of the broadcast television program, the first determining module 2200 is further configured to obtain the number of sample users, the watching duration of the user watching the program in the live broadcast manner in each time interval, and the watching duration of the user watching the program in the non-live broadcast manner in each time interval; determining the live broadcast audience rating corresponding to each time interval according to the number of sample users, the watching time length of the user watching the program in a live broadcast mode in each time interval and the time length of the time interval; and determining the non-live broadcast audience rating corresponding to each time interval according to the number of the sample users, the watching time length of the user watching the program in the non-live broadcast mode in each time interval and the time length of the time interval.
In an embodiment, in a case that the duration of each time interval is equal to the duration of a preset minimum viewing data sampling interval, the first determining module 2200 is further configured to obtain the number of sample users, the number of users watching programs in a live broadcast manner in each time interval, and the number of users watching programs in a non-live broadcast manner in each time interval; and determining the live broadcast audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in a live broadcast manner in each time interval, and determining the non-live broadcast audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in a non-live broadcast manner in each time interval.
In one embodiment, the apparatus for determining the audience share of the broadcast television program further comprises a contribution degree value determining module.
The second determining module is used for determining the live broadcast audience rating of the broadcast television program according to the live broadcast audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
The contribution degree value determining module is used for determining the contribution degree value of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
The second determining module is used for determining the non-live audience rating of the broadcast television program according to the weight proportion value of the non-live audience rating corresponding to each time interval and the comprehensive audience rating corresponding to each time interval.
The contribution degree value determining module is further used for determining the contribution degree value of the non-live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the non-live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
In an embodiment, in a case that the non-live audience ratings include a time-shift audience rating, a review audience rating, and an on-demand audience rating, the linear superposition processing module 2300 is further configured to perform linear superposition processing on the live audience rating, the time-shift audience rating, and the review audience rating corresponding to each time interval to obtain an audience rating of the broadcast television platform corresponding to each time interval, and use the on-demand audience rating corresponding to each time interval as an audience rating of the internet platform corresponding to each time interval. The second determining module 2500 is further configured to determine the audience rating of the broadcast television program on the broadcast television platform according to the audience rating of the broadcast television platform corresponding to each time interval and the weight ratio value of the comprehensive audience rating corresponding to each time interval; and determining the audience rating of the broadcast television program on the Internet platform according to the on-demand audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
Fig. 3 is a schematic diagram of a hardware configuration of an apparatus for determining an audience share of a broadcast television program according to an embodiment of the present invention.
Referring to fig. 3, the apparatus for determining the rating of a broadcast television program comprises a memory 320 and a processor 310.
The memory 320 is configured to store instructions for controlling the processor 310 to operate to perform the method for determining the rating of a broadcast television program as illustrated in fig. 1. The skilled person can design the instructions according to the disclosed solution. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.
It will be appreciated by those skilled in the art that the means for determining the rating of a broadcast television program may be implemented in a variety of ways. The means for determining the rating of a broadcast television program may be implemented, for example, by instructing a configuration processor. For example, the instructions may be stored in ROM and read from ROM into a programmable device when the apparatus is started to implement the broadcast television program rating determining means. For example, the broadcast program rating determination means may be embodied in a dedicated device (e.g., ASIC). The determination of the rating of a broadcast television program may be divided into separate units or may be implemented by combining them. The determination means for the audience rating of the broadcast television program may be implemented by one of the various implementations described above, or may be implemented by a combination of two or more of the various implementations described above.
< example 1>
In this embodiment, a broadcast television program is live 19:00 to 19:30 a day. The program can be viewed with a time shift 10 minutes after the start of the live broadcast. The program can be viewed in review 60 minutes after the start of live broadcast. At 21:00 of the day, the broadcasting platform strips three sections of wonderful segments corresponding to the programs 00:05 to 00:10, 00:14 to 00:17 and 00:22 to 00:26 (the three sections of time periods are all relative time calculated from the starting time point of the programs). The bar splitting result can be watched in an on-demand mode. The number of sample users is 500 ten thousand.
In this embodiment, the non-live viewership includes a time-shifted viewership, a review viewership, and an on-demand viewership.
The method for determining the audience rating of the broadcast television program provided by the embodiment at least comprises the following steps:
step S401, the total duration of the broadcast television programs is subjected to average splitting processing to obtain a plurality of time intervals, and the duration of each time interval is 60S of the duration of a preset audience data sampling interval.
Step S402, obtaining the number of sample users, the number of users watching programs in a live broadcast mode in each time interval, the number of users watching programs in a time-shifting mode in each time interval, the number of users watching programs in a review mode in each time interval and the number of users watching programs in an on-demand mode in each time interval.
According to fig. 4, the axis of abscissa represents the broadcast time of a program, and the axis of ordinate represents the number of users (ten thousand people) who view the program. Four bars are shown in one time interval (60 s). The four columns represent, in order from left to right, the number of users watching a program live, the number of users watching a program time-shifted, the number of users watching a program review, and the number of users watching a program on demand.
It should be noted that, since the programs corresponding to the three time periods 00:05 to 00:10, 00:14 to 00:17, and 00:22 to 00:26 can be viewed in the on-demand mode, the programs corresponding to the four time periods 00:00 to 00:04, 00:11 to 00:13, 00:18 to 00:21, and 00:27 to 00:30 do not provide the on-demand viewing mode. Therefore, the number of users who watch the program in the on-demand mode in each time interval corresponding to the four time periods is 0.
Step S403, determining the live audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the live broadcast mode in each time interval, determining the time-shifted audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the time-shifted mode in each time interval, determining the review audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the review mode in each time interval, and determining the on-demand audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in the on-demand mode in each time interval.
And S404, performing linear superposition processing on the live audience rating, the time-shifting audience rating, the review audience rating and the on-demand audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval.
Fig. 5 is a schematic diagram of a live audience rating corresponding to each time interval and a comprehensive audience rating corresponding to each time interval according to an embodiment of the present invention.
The upper curve in fig. 5 is formed by the integrated rating for each time interval. The lower curve in fig. 5 is formed by the live audience ratings for each time interval.
Step S405, determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program.
Step S406, determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
Step S407, determining the live audience rating of the broadcast television program according to the live audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
Step S408, determining the contribution degree value of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
< example 2>
In this embodiment, a tv show is broadcast on a broadcast tv platform and an internet platform, respectively. The time of a certain episode of the television play is 45 minutes, and the content of the episode is live broadcast by a certain broadcast television platform at 8 months and 6 nights of a certain year at 20: 00. The program provides time-shifted viewing 10 minutes after the start of the live broadcast. The program can be watched back 60 minutes after the live broadcast starts, and the program can be stopped from watching back the episode content 24:00 at 8 months and 13 nights. An internet platform shelves the episode content and provides on-demand service at 8 months and 8 days 0:00 in the same year, and the television play does not shelf within the year. The number of sample users is 500 ten thousand.
The method for determining the audience rating of the broadcast television program provided by the embodiment at least comprises the following steps:
step S501, the total duration of the episode is subjected to average splitting processing to obtain a plurality of time intervals, and the duration of each time interval is 60S of the duration of a preset audience data sampling interval.
Step S502, obtaining the number of sample users, the number of users watching programs in a live broadcast mode in each time interval, the number of users watching programs in a time shift mode in each time interval, the number of users watching programs in a review mode in each time interval and the number of users watching programs in an on-demand mode in each time interval.
Fig. 6 is a diagram illustrating the number of users viewing programs in different viewing manners according to an embodiment of the present invention.
According to fig. 6, the axis of abscissa represents the broadcast time of a program, and the axis of ordinate represents the number of users (ten thousand people) who view the program. Four bars are shown in one time interval (60 s). The four columns represent, in order from left to right, the number of users watching a program live, the number of users watching a program time-shifted, the number of users watching a program review, and the number of users watching a program on demand.
Step S603, determining the live audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in a live broadcasting mode in each time interval, determining the time-shifted audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in a time-shifted mode in each time interval, determining the review audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in a review mode in each time interval, and determining the on-demand audience rating corresponding to each time interval according to the number of the sample users and the number of the users watching the program in an on-demand mode in each time interval.
Step S604, performing linear superposition processing on the live broadcast audience rating, the time-shift audience rating and the review audience rating corresponding to each time interval to obtain the audience rating of the broadcast television platform corresponding to each time interval, and taking the on-demand audience rating corresponding to each time interval as the audience rating of the internet platform corresponding to each time interval.
Fig. 7 is a schematic diagram of the audience rating of the broadcast television platform corresponding to each time interval and the audience rating of the internet platform corresponding to each time interval according to an embodiment of the present invention.
The upper curve in fig. 7 is formed by the rating of the broadcast platform for each time interval. The lower curve in fig. 7 is formed by the audience ratings of the internet platforms for each time interval.
And step S605, respectively determining the weight proportion value of the audience rating of the broadcast television platform corresponding to each time interval according to the time length of each time interval and the total time length of the episode. The value of the weight ratio of the audience rating of the broadcast platform corresponding to each time interval is equal to the value of the weight ratio of the audience rating of the internet platform corresponding to each time interval.
Step S606, determining the audience rating of the broadcast television platform corresponding to the episode according to the audience rating of the broadcast television platform corresponding to each time interval and the weight ratio value of the audience rating of the broadcast television platform corresponding to each time interval.
Step S607, determining the audience rating of the internet platform corresponding to the episode according to the audience rating of the internet platform corresponding to each time interval and the weight ratio of the audience rating of the broadcast television platform corresponding to each time interval.
Step S608, determining a broadcasting platform with a higher audience rating corresponding to the episode according to the audience rating of the broadcast television platform corresponding to the episode and the audience rating of the internet platform corresponding to the episode.
The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims (10)

1. A method for determining a rating of a broadcast television program, comprising:
splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval;
respectively determining live broadcast audience rating and non-live broadcast audience rating corresponding to each time interval;
carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval;
respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program;
and determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
2. The method of claim 1, wherein the splitting the total duration of the broadcast television program to obtain the plurality of time intervals comprises:
carrying out average splitting processing on the total time length of the broadcast television programs to obtain time intervals with equal time length; alternatively, the first and second electrodes may be,
and carrying out non-average splitting processing on the total time length of the broadcast television program to obtain time intervals with unequal time lengths.
3. The method of claim 2, wherein the duration of each time interval is equal to the duration of a predetermined minimum viewing data sampling interval when the average splitting process is performed on the total duration of the broadcast television program.
4. The method of claim 3, wherein, in the case that the duration of each time interval is equal to the duration of the preset minimum audience data sampling interval, the determining the live audience rating and the non-live audience rating corresponding to each time interval respectively comprises:
acquiring the number of sample users, the number of users watching programs in a live broadcast mode in each time interval and the number of users watching programs in a non-live broadcast mode in each time interval;
and determining the live broadcast audience rating corresponding to each time interval according to the sample user number and the number of users watching the program in a live broadcast manner in each time interval, and determining the non-live broadcast audience rating corresponding to each time interval according to the sample user number and the number of users watching the program in a non-live broadcast manner in each time interval.
5. The method of claim 1, wherein the determining the live audience rating and the non-live audience rating for each time interval respectively comprises:
acquiring the number of sample users, the watching time length of a user watching a program in a live broadcast mode in each time interval and the watching time length of a user watching a program in a non-live broadcast mode in each time interval;
determining the live broadcast audience rating corresponding to each time interval according to the number of the sample users, the watching time length of the user watching the program in the live broadcast mode in each time interval and the time length of the time interval;
and determining the non-live audience rating corresponding to each time interval according to the number of the sample users, the watching time length of the user watching the program in the non-live broadcast mode in each time interval and the time length of the time interval.
6. The method according to any one of claims 1-5, further comprising:
determining the live broadcast audience rating of the broadcast television program according to the live broadcast audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
determining a contribution degree value of the live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program; and/or the presence of a gas in the gas,
determining the non-live broadcast audience rating of the broadcast television program according to the non-live broadcast audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
and determining the contribution degree value of the non-live audience rating of the broadcast television program to the comprehensive audience rating of the broadcast television program according to the non-live audience rating of the broadcast television program and the comprehensive audience rating of the broadcast television program.
7. The method of claim 1, wherein the non-live ratings comprise one or more of time-shifted ratings, review ratings, and on-demand ratings.
8. The method of claim 7, wherein in the case that the non-live ratings include a time-shifted rating, a review rating, and an on-demand rating,
carrying out linear superposition processing on the live broadcast audience rating, the time-shifting audience rating and the review audience rating corresponding to each time interval to obtain the audience rating of the broadcast television platform corresponding to each time interval, and taking the on-demand audience rating corresponding to each time interval as the audience rating of the internet platform corresponding to each time interval;
determining the audience rating of the broadcast television program on the broadcast television platform according to the audience rating of the broadcast television platform corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval;
and determining the audience rating of the broadcast television program on the Internet platform according to the on-demand audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
9. An apparatus for determining a rating of a broadcast television program, comprising:
the splitting module is used for splitting the total duration of the broadcast television program to obtain a plurality of time intervals and the duration of each time interval;
the first determining module is used for respectively determining the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval;
the linear superposition processing module is used for carrying out linear superposition processing on the live broadcast audience rating and the non-live broadcast audience rating corresponding to each time interval to obtain a comprehensive audience rating corresponding to each time interval;
the weight proportion value determining module is used for respectively determining the weight proportion value of the comprehensive audience rating corresponding to each time interval according to the time length of each time interval and the total time length of the broadcast television program;
and the second determining module is used for determining the comprehensive audience rating of the broadcast television program according to the comprehensive audience rating corresponding to each time interval and the weight proportion value of the comprehensive audience rating corresponding to each time interval.
10. An apparatus for determining the rating of a broadcast television program, comprising a memory and a processor, the memory storing executable instructions for controlling the processor to operate to perform the method of any one of claims 1 to 8.
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Patentee after: Planning Institute of Radio and Television of the State Administration of Radio and Television

Address before: 100866, 2, Fuxing Avenue, Xicheng District, Beijing

Patentee before: RADIO AND TELEVISION PLANNING INSTITUTE, STATE ADMINISTRATION OF PRESS, PUBLICATION, RADIO, FILM AND TELEVISION