WO2021260755A1 - Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement - Google Patents

Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement Download PDF

Info

Publication number
WO2021260755A1
WO2021260755A1 PCT/JP2020/024319 JP2020024319W WO2021260755A1 WO 2021260755 A1 WO2021260755 A1 WO 2021260755A1 JP 2020024319 W JP2020024319 W JP 2020024319W WO 2021260755 A1 WO2021260755 A1 WO 2021260755A1
Authority
WO
WIPO (PCT)
Prior art keywords
program
audience rating
estimation
data
target program
Prior art date
Application number
PCT/JP2020/024319
Other languages
English (en)
Japanese (ja)
Inventor
研太 中尾
Original Assignee
日本電気株式会社
Ｎｅｃソリューションイノベータ株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日本電気株式会社, Ｎｅｃソリューションイノベータ株式会社 filed Critical 日本電気株式会社
Priority to PCT/JP2020/024319 priority Critical patent/WO2021260755A1/fr
Priority to JP2022531248A priority patent/JP7464711B2/ja
Publication of WO2021260755A1 publication Critical patent/WO2021260755A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details

Definitions

  • the present invention relates to an audience rating estimation device, an audience rating estimation method, and a recording medium.
  • the audience rating of programs to be broadcast in the future is often estimated manually based on the actual value of the past audience rating.
  • Patent Document 1 describes that viewing history data is acquired from a measuring device connected to a television of a predetermined household, and the audience rating is estimated from the data.
  • the audience rating is the ratio of the number of households that watched the predetermined program to the number of households for which the audience rating is calculated, or the number of individuals who watched the predetermined program to the number of individuals for which the audience rating is calculated. It is a ratio.
  • the actual value data of the past audience rating is provided to each broadcasting station from the audience rating provider.
  • the estimated audience rating may not match the actual situation. there were.
  • An object of the present invention is to provide an audience rating estimation device, an audience rating estimation method, and a recording medium that can improve the audience rating estimation accuracy of a program to be broadcast in the future.
  • the audience rating estimation device is for viewing the program composition data of a predetermined estimation target program to be broadcast in the future, the program composition data of a predetermined comparison target program broadcasted in the past, and the comparison target program. Based on the receiving means for receiving the actual value of the rate, the program configuration data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. It is characterized by comprising an output means for outputting estimated value data indicating the estimated value of the audience rating of the estimated target program.
  • the audience rating estimation method comprises the program composition data of a predetermined estimation target program to be broadcast in the future, the program composition data of a predetermined comparison target program broadcasted in the past, and the comparison target.
  • the actual value of the audience rating of the program is received, and based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. It is characterized by outputting estimated value data indicating the estimated value of the audience rating of the estimated target program.
  • the audience rating estimation program recorded on a computer-readable recording medium is a program configuration data of a predetermined estimation target program to be broadcast in the future and a predetermined comparison target broadcast in the past.
  • the reception function for receiving the program composition data of the program and the actual value of the audience rating of the comparison target program, the program composition data of the estimation target program, the program composition data of the comparison target program, and the comparison target. It is characterized in that a computer is provided with an output function for outputting estimated value data indicating an estimated value of the audience rating of the estimated target program, which is estimated based on the actual value of the audience rating of the program.
  • FIG. 1 shows a configuration example of the audience rating estimation device 10 of the present embodiment.
  • the audience rating estimation device 10 of the present embodiment includes a receiving unit 11 and an output unit 12.
  • the receiving unit 11 receives the program composition data of the predetermined estimation target program to be broadcast in the future, the program composition data of the predetermined comparison target program broadcasted in the past, and the actual value of the audience rating of the comparison target program.
  • the output unit 12 shows an estimated value of the audience rating of the estimation target program estimated based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Output estimated value data.
  • the audience rating estimation device 10 is based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating the estimated estimated value of the audience rating of the estimated target program. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • FIG. 2 shows an example of the operation of the audience rating estimation device 10 of the present embodiment.
  • the receiving unit 11 receives the program composition data of the predetermined estimation target program to be broadcast in the future, the program composition data of the predetermined comparison target program broadcasted in the past, and the actual value of the audience rating of the comparison target program (Ste S101).
  • the output unit 12 shows an estimated value of the audience rating of the estimation target program estimated based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • the estimated value data is output (step S102).
  • the audience rating estimation device 10 includes the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating an estimated value of the audience rating of the program to be estimated, which is estimated based on. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • FIG. 3 shows a configuration example of the audience rating estimation system of the present embodiment.
  • the audience rating estimation system of the present embodiment includes an audience rating estimation device 20, an audience rating providing device 80, and a display means 60. Further, the audience rating estimation device 20 and the display means 60 are included in the commercial broadcasting system 70.
  • the commercial broadcasting system 70 is a system for managing broadcast programs, commercials (commercial messages), and the like.
  • the commercial broadcasting system 70 can provide the audience rating estimation device 20 with program configuration data of a program broadcast in the past and a program broadcast in the future.
  • the program structure data will be described later.
  • the audience rating providing device 80 provides the audience rating estimation device 20 with data on the actual value of the audience rating of the programs broadcasted in the past.
  • the audience rating estimation device 20 estimates the audience rating of a program to be broadcast in the future. Further, the audience rating estimation device 20 causes the display means 60 to display the estimated value of the audience rating.
  • the display means 60 displays the estimated value of the audience rating of the program to be broadcast in the future, which is estimated by the audience rating estimation device 20.
  • the display means 60 may include a display or the like as an output device, or may include a touch panel or the like as an input / output device.
  • the audience rating targeted by the audience rating estimation device 20 may be a real-time audience rating, a time-shift audience rating, or the number of impressions of simultaneous Internet distribution.
  • the audience rating estimation device 20 estimates at least one or more of the real-time audience rating, the time-shifted audience rating, and the number of impressions of simultaneous Internet distribution.
  • the real-time audience rating is the ratio of the number of households who watched the program in real time to the number of households whose audience rating is calculated, or the ratio of the number of individuals who watched the program in real time to the number of individuals whose audience rating is calculated.
  • the time shift audience rating is the number of households (or individuals) whose audience rating is calculated, which is the number of households (or individuals) who watched the recorded program within a predetermined period (eg, within 7 days) from the end time of real-time broadcasting. It is a ratio to.
  • the time-shift audience rating may be the C7 audience rating, which is the average audience rating of the CM frame in the recorded program.
  • the number of impressions is the number of times a program distributed on the Internet (referred to as simultaneous distribution on the Internet) is viewed at the same time as broadcasting by a broadcast wave.
  • the audience rating targeted by the audience rating estimation device 20 may be a household audience rating calculated based on the household, or the viewers are classified according to age, gender, etc. based on the individual viewer. It may be the audience rating for each viewer group calculated for each viewer group.
  • the past actual value data of the number of impressions may be provided from the audience rating providing device 80, or may be provided from another device (not shown) in the commercial broadcasting system 70.
  • the audience rating estimation device 20 estimates the audience rating based on the data obtained by the commercial broadcasting system 70, there is an advantage that the audience rating estimation system can be easily constructed. Further, since the audience rating can be estimated in the commercial broadcasting system 70 of the broadcasting station, there is an advantage from the viewpoint of security.
  • FIG. 4 shows a configuration example of the audience rating estimation device 20 of the present embodiment.
  • the audience rating estimation device 20 includes a reception unit 11, an output unit 12, and a display control unit 23.
  • the receiving unit 11 receives the program composition data of the predetermined estimation target program to be broadcast in the future, the program composition data of the predetermined comparison target program broadcasted in the past, and the actual value of the audience rating of the comparison target program.
  • the receiving unit 11 determines the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program in the audience rating providing device 80 or the commercial broadcasting system 70. Receive from the device.
  • the program to be estimated refers to the program to be estimated for the audience rating. Further, the audience rating estimation device 20 of the present embodiment uses the program configuration data and the actual value of the audience rating of the predetermined program broadcasted in the past for the estimation of the audience rating.
  • the comparison target program refers to a program that has been broadcast in the past, in which the program composition data and the actual value of the audience rating are used for estimating the audience rating.
  • the comparison target program is, for example, a program broadcast at the same time of the week before the estimation target program.
  • the output unit 12 estimates the estimated value of the audience rating of the estimation target program based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Then, the output unit 12 outputs the estimated value data indicating the estimated value of the audience rating of the estimation target program to the display control unit 23.
  • the display control unit 23 causes the display means 60 to display the estimated value of the audience rating of the estimation target program based on the estimated value data.
  • the audience rating estimation device 20 of the present embodiment estimates the audience rating of the estimation target program by, for example, the following method.
  • the audience rating estimation method is not limited to the methods listed below.
  • any method can be used as long as it is a method based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. can.
  • the audience rating estimation device 20 adds a predetermined addition value to the actual value of the audience rating of the comparison target program according to the condition that the difference between the program composition data of the estimation target program and the program composition data of the comparison target program is satisfied.
  • the audience rating of the estimation target program is estimated.
  • the added value may be a negative value. If there is no condition that the difference is satisfied, the added value is assumed to be zero.
  • the output unit 12 of the audience rating estimation device 20 generates a method of showing the difference between the program composition data of the estimation target program and the program composition data of the comparison target program.
  • Program composition data is data related to program composition.
  • the program composition data includes any one or more of program frame composition data, genre-related data, and program content-related data. Further, the program composition data may further include any one or more of the program frame composition data of the program of the previous program frame and the next program frame, the data related to the genre, and the data related to the program content.
  • the program frame is a time zone in which the program is broadcast (from the broadcast start time to the broadcast end time).
  • the program frame configuration data is data related to the program frame.
  • the program frame configuration data includes data related to program frame cutting and data related to CM broadcast within the program frame.
  • the data related to the frame cutting is the data related to the broadcast start time and the broadcast end time of the program.
  • the data related to the CM is, for example, the number of CM chances, the CM chance start time, the CM chance end time, the total time of the CM in the program frame, the broadcast day of the CM, the time rank data, and the like.
  • the CM chance is a CM broadcast frame.
  • the time rank is a rank of the CM charge preset according to the day of the week and the time zone.
  • the genre is the classification of programs. Genres are shown as a combination of major and middle classifications.
  • the major categories are, for example, "news / news”, “sports”, and “information / wide shows”.
  • the middle classification is "regular / general”, “weather”, “special feature / document”, and the like.
  • the data related to the program content is, for example, data related to the program content such as performers, original titles, original authors, screenwriters, directors, directors, producers, music, number of stories, and more detailed classification than genre.
  • the data related to the program content may include data such as sign language, subtitles, commentary, rebroadcast, special program, first-time limited expansion, and extendability. ..
  • the output unit 12 increases the audience rating of the estimated target program by adding a predetermined addition value to the actual value of the audience rating of the comparison target program according to the condition that the difference is satisfied among the predetermined conditions. presume.
  • the conditions are set in advance for the audience rating estimation device 20 by the user. Further, the condition set for the audience rating estimation device 20 may be one or a plurality of two or more.
  • the output unit 12 adds a predetermined addition value to the actual value of the audience rating of the comparison target program to view the estimated target program. Estimate the rate.
  • the output unit 12 calculates the audience rating of the estimated target program by subtracting a predetermined subtraction value from the actual value of the audience rating of the comparison target program. presume.
  • the output unit 12 estimates the audience rating of the estimation target program by subtracting a predetermined subtraction value from the actual value of the audience rating of the comparison target program.
  • the output unit 12 estimates the audience rating of the estimated target program by adding a predetermined addition value to the actual value of the audience rating of the comparison target program.
  • the comparison target program is a special feature on old age
  • the estimation target program is a special feature on youth trends.
  • the audience rating of the M1 layer and the F1 layer men and women aged 20 to 34 years old
  • the audience rating of the M3 layer and the F3 layer men and women aged 50 and over
  • the output unit 12 subtracts a predetermined subtraction value from the actual value of the audience rating of the M3 layer and the F3 layer of the comparison target program, and the viewing of the M1 layer and the F1 layer.
  • the audience rating of the program to be estimated is estimated by adding a predetermined addition value to the actual value of the rate.
  • the output unit 12 estimates the audience rating of the estimated target program by adding a predetermined addition value to the actual value of the audience rating of the comparison target program. do.
  • the addition value and the subtraction value may be a value set for each condition, a fixed value, or a value according to the actual value of the audience rating of the comparison target program. ..
  • the estimated audience rating is the audience rating by viewer group
  • addition or subtraction is performed for the audience rating of each viewer group according to the conditions that the differences are satisfied.
  • the output unit 12 determines that the number of the estimation target programs has a higher priority and is equal to or less than a predetermined upper limit value among the plurality of conditions satisfied by the difference.
  • the audience rating may be estimated. For example, when the output unit 12 has five conditions that the difference is satisfied and 3 is set as a predetermined upper limit value, the output unit 12 has the estimation target program according to the three conditions having higher priority. You may estimate the audience rating of.
  • the output unit 12 may add up the added values (the subtracted value shall be a negative added value) according to each condition, and use the totaled value as a new added value. Further, the output unit 12 sums the added values according to each condition (the subtracted value is a negative added value) and the weighted values according to the priority, and the totaled value is used as a new added value. May be good.
  • the audience rating estimation device 20 can bring the estimated value of the audience rating closer to the state estimated as described above. Therefore, it is possible to improve the estimation accuracy of the audience rating based on the program composition data of the estimation target program and the program composition data of the comparison target program.
  • the output unit 12 estimates the audience rating of the estimation target program by the above method, and outputs the estimated value data indicating the estimated value of the audience rating of the estimation target program to the display control unit 23. Then, the display control unit 23 causes the display means 60 to display the estimated value of the audience rating of the estimation target program based on the estimated value data.
  • the output unit 12 may further output the difference data to the display control unit 23 or another device in the commercial broadcasting system 70. Further, the output unit 12 displays and controls the actual value data indicating the actual value of the comparison target program and the difference data indicating the difference between the estimated value of the audience rating of the estimation target program and the actual value of the audience rating of the comparison target program. It may be output to the unit 23 or another device in the commercial broadcasting system 70.
  • the audience rating estimation device 20 may use the ratio (achievement rate) of the actual value of the number of impressions of the comparison target program to the reference value according to the comparison target program. good.
  • the audience rating estimation device 20 performs addition to the arrival rate according to the conditions satisfied by the differences, and multiplies the arrival rate after addition by the reference value according to the estimation target program to obtain the estimation target program. Calculate an estimate of the number of impressions.
  • the reference value is a value that serves as an index for evaluating whether the number of impressions is large or small. Since the number of impressions is a value indicating the number of times of viewing, it may be evaluated as high or low depending on the day of the week or the time zone. For example, even if the program has the same number of impressions, for example, a program in the time zone from 19:00 to 21:00 is evaluated as having a small number of impressions, and a program in the midnight zone is evaluated as having a large number of impressions. May be reasonable. Therefore, when the audience rating estimation device 20 estimates the number of impressions, it is preferable to use the arrival rate instead of the number of impressions themselves.
  • the reference value is set in advance in the audience rating estimation device 20.
  • the reference value is set according to the time rank, broadcasting time zone, etc., and can be flexibly set in consideration of the regional characteristics of the broadcasting target area.
  • the display control unit 23 of the present embodiment causes the display means 60 to display the estimated value of the audience rating of the program to be estimated.
  • FIG. 5 shows an example of displaying the estimated value.
  • the display control unit 23 associates the estimated value of the audience rating with the program (estimated target program) and displays it on the display means 60.
  • the horizontal axis shows the day of the week and the vertical axis shows the classification of the program.
  • the upper part of each program frame shows the real-time (RT) audience rating.
  • the middle row shows the C7 audience rating.
  • the lower row shows the number of impressions.
  • the audience rating estimation device 20 estimates the real-time audience rating, the C7 audience rating, and the number of impressions.
  • the left side of the slash (/) shows the actual value of the audience rating of the comparison target program, and the right side shows the estimated value of the audience rating of the estimation target program estimated by the audience rating estimation device 20.
  • Programs for which numbers are not displayed in the lower row are programs that are not simultaneously distributed on the Internet.
  • the actual value of the audience rating of the comparison target program and the estimated value of the estimation target program estimated by the audience rating estimation device 20 are displayed side by side.
  • FIG. 6 shows another example of displaying the estimated value.
  • the difference between the actual value and the estimated value in the case of FIG. 6, the actual value is calculated from the estimated value).
  • the subtracted value is displayed.
  • the display of the difference may be a signed display or an absolute value display.
  • FIG. 7 shows an example of display when the audience rating is the audience rating by viewer group.
  • the drop-down box at the top of the table switches the viewer demographic displayed.
  • the display control unit 23 displays the estimated value of the audience rating on the display means 60 in association with the program, but it may be displayed by a method not associated with the program. good.
  • the display control unit 23 associates the estimated value with the program and displays it on the display means 60, there is an advantage that it becomes easy for the user to grasp the estimated value of the audience rating. Further, the display control unit 23 causes the display means 60 to display the actual value and the estimated value, or the difference between the actual value and the estimated value, so that the user can easily grasp the difference between the actual value and the estimated value. There is a merit.
  • the user may be able to use the difference information in the sales strategy of the CM frame. For example, it is possible to sell a CM frame of a program whose estimated value of the real-time audience rating is higher than the actual value of the real-time audience rating as a CM frame for broadcasting a CM with a stronger awareness of the real-time viewer group. It will be possible. By selling CM slots that are more conscious of the viewer base, the possibility of improving the advertising revenue of broadcasting stations and improving the profits of sponsors will increase.
  • the output unit 12 may output data indicating the condition that the difference satisfies to the display control unit 23 or another device in the commercial broadcasting system 70. good.
  • the data indicating the conditions satisfied by the differences correspond to the data indicating the reason for the estimation when the audience rating estimation device 20 estimates a value different from the actual value of the audience rating of the comparison target program as the audience rating of the estimation target program. .. Further, the output unit 12 may output data indicating a condition that the difference is not satisfied.
  • FIG. 8 shows an example of data showing the conditions that the differences are satisfied with.
  • the output unit 12 has a condition that the difference is satisfied, an addition value to the actual value of the audience rating of the comparison target program, and a content of the difference (a column of "estimation target program" and a column of "comparison target program”. ) And is output.
  • the added value is a value obtained by subtracting the actual value of the audience rating of the comparison target program from the estimated value of the audience rating of the estimation target program.
  • the output unit 12 adds "-1" to the actual value of the audience rating of the comparison target program because the frame cut is different, so that the estimation target program can be viewed. Indicates that the rate has been estimated.
  • the third row of the table is by adding "+2" to the actual value of the audience rating of the comparison target program because the comparison target program is not the first broadcast but the estimation target program is the first broadcast. It indicates that the audience rating of the estimation target program has been estimated.
  • the display control unit 23 may receive data indicating the conditions satisfied by the differences from the output unit 12, and may display a screen based on the data indicating the conditions satisfied by the differences on the display means 60.
  • the user can confirm this data and change the condition set in the audience rating estimation device 20. For example, after the broadcast of the estimation target program, the user can confirm the actual value of the audience rating of the estimation target program, set more appropriate conditions, and change the addition value according to each condition.
  • the audience rating estimation device 20 is based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating the estimated estimated value of the audience rating of the estimated target program. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • FIG. 9 shows an operation example of the audience rating estimation device 20 of the present embodiment.
  • the operation example shown in FIG. 9 is an example of the operation of the audience rating estimation device 20 in the case of estimating the audience rating according to the condition satisfied by the difference between the program composition data of the estimation target program and the program composition data of the comparison target program. be.
  • the receiving unit 11 receives the program composition data of the predetermined estimation target program to be broadcast in the future, the program composition data of the predetermined comparison target program broadcasted in the past, and the actual value of the audience rating of the comparison target program ( Step S201).
  • the output unit 12 generates difference data indicating the difference between the program composition data of the estimation target program and the program composition data of the comparison target program (step S202).
  • the output unit 12 estimates the audience rating of the estimation target program according to the condition that the difference is satisfied among the predetermined conditions (step S203). Specifically, the output unit 12 estimates the audience rating of the estimation target program by adding a predetermined addition value to the actual value of the audience rating of the comparison target program according to the conditions satisfied by the difference. When there is no condition that the difference is satisfied, the output unit 12 sets the actual value of the audience rating of the comparison target program as the estimated value of the audience rating of the estimation target program.
  • the output unit 12 outputs the estimated value data indicating the estimated value of the audience rating of the estimation target program to the display control unit 23.
  • the display control unit 23 causes the display means 60 to display the estimated value of the audience rating of the estimation target program based on the estimated value data (step S204). Further, the output unit 12 may output data indicating a condition that the difference is satisfied to the display control unit 23 or a predetermined device. Further, the display control unit 23 may display the screen based on the data indicating the condition that the difference is satisfied on the display means 60.
  • the audience rating estimation device 20 includes the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating an estimated value of the audience rating of the program to be estimated, which is estimated based on. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • the audience rating estimation device 30 of the present embodiment uses machine learning to estimate the audience rating.
  • FIG. 10 shows a configuration example of the audience rating estimation system of the present embodiment.
  • the audience rating estimation system of the present embodiment includes an audience rating estimation device 30, an audience rating providing device 80, a learning device 50, and a display means 60. Further, the audience rating estimation device 30, the learning device 50, and the display means 60 are included in the commercial broadcasting system 70.
  • the learning device 50 generates an estimation model for estimating the audience rating by machine learning.
  • the audience rating estimation device 30 estimates the audience rating of the program to be broadcast in the future. Further, the audience rating estimation device 30 causes the display means 60 to display the estimated value of the audience rating.
  • the audience rating estimation device 30 of the present embodiment estimates the audience rating of the estimation target program by using the estimation model generated by the learning device 50.
  • the learning device 50 and the audience rating estimation device 30 are shown as different devices in FIG. 10, the audience rating estimation device 30 may have the function of the learning device 50.
  • FIG. 11 shows a configuration example of the learning device 50 of the present embodiment.
  • the learning device 50 includes a learning data input unit 51, a learning data storage unit 52, and a model generation unit 53.
  • the learning data input unit 51 receives the input of the learning data and stores it in the learning data storage unit 52.
  • the learning data storage unit 52 stores the learning data.
  • the learning data includes data related to program composition data of programs broadcasted in the past and data related to actual values of audience ratings.
  • the model generation unit 53 uses an estimation model that estimates the audience rating of the estimation target program based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Generated by learning. Then, the model generation unit 53 transmits the generated estimation model to the audience rating estimation device 30.
  • the model generation unit 53 may generate a new estimation model by performing new machine learning each time new learning data is registered in the training data storage unit 52, or may generate a new estimation model at predetermined time intervals or the like. A new estimation model may be generated at the timing.
  • the input data to the estimation model is the difference data showing the difference between the program composition data of the estimation target program and the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • the output data from the estimation model is an estimated value of the audience rating of the program to be estimated. Further, the output data from the estimation model may be a value obtained by subtracting the actual value of the audience rating of the comparison target program from the estimated value of the audience rating of the estimation target program instead of the estimated value of the audience rating of the estimation target program.
  • the input data to the estimation model is the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • the output data from the estimation model is an estimated value of the audience rating of the program to be estimated. Further, the output data from the estimation model may be a value obtained by subtracting the actual value of the audience rating of the comparison target program from the estimated value of the audience rating of the estimation target program instead of the estimated value of the audience rating of the estimation target program.
  • the learning data includes the difference data indicating the difference in the program composition data between the two programs broadcasted in the past, and the actual value of the audience rating of the two programs. Further, the learning data may include the actual value difference data showing the difference between the actual values of the audience ratings of the two programs instead of the actual values of the audience ratings of the two programs.
  • the learning data input unit 51 may receive the program configuration data of the program broadcasted in the past and the actual value of the audience rating of the program from another device in the commercial broadcasting system 70 or the audience rating providing device 80. .. In this case, the learning data input unit 51 generates difference data indicating the difference between the program configuration data between the two predetermined programs and the actual value difference data indicating the difference between the actual values of the viewing rate, and the generated difference.
  • the point data and the actual value difference data may be stored in the learning data storage unit 52.
  • the learning data input unit 51 can also receive the difference data and the actual value difference data from the audience rating estimation device 30 and other devices in the commercial broadcasting system 70. For example, even if the audience rating estimation device 30 or another device in the commercial broadcasting system 70 generates difference data or actual value difference data, and the learning data input unit 51 receives the difference data or actual value difference data. good.
  • the learning data input unit 51 may receive the program configuration data of the program broadcasted in the past and the actual value of the audience rating of the program and store it in the learning data storage unit 52.
  • the model generation unit 53 generates the difference data indicating the difference between the program configuration data between the two predetermined programs and the actual value difference data indicating the difference between the actual values of the audience rating.
  • the model generation unit 53 generates an estimation model for estimating the audience rating of the estimation target program by machine learning based on the difference data and the actual value (or the actual value difference data) of the audience rating of the two programs. do.
  • the learning data includes the program composition data of the program broadcasted in the past and the actual value of the audience rating of the program.
  • the learning data input unit 51 can receive the actual value of the audience rating of the program broadcasted in the past from the audience rating providing device 80. Further, the learning data input unit 51 can receive the program configuration data of the program broadcasted in the past from the device in the commercial broadcasting system 70.
  • the model generation unit 53 generates an estimation model for estimating the audience rating of the estimation target program by machine learning based on the program composition data of the program broadcasted in the past and the actual value of the audience rating of the program. ..
  • the audience rating estimation device 30 of the present embodiment includes a reception unit 11, an output unit 32, and a display control unit 23. Since the receiving unit 11 and the display control unit 23 are the same as those in the second embodiment, the description thereof will be omitted.
  • the output unit 32 uses the estimation model generated by the learning device 50, and is based on the program composition data of the audience rating of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Estimate the audience rating of the program to be estimated. Then, the output unit 32 outputs the estimated value data indicating the estimated value of the audience rating of the estimation target program to the display control unit 23.
  • the audience rating estimation device 30 is based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating the estimated estimated value of the audience rating of the estimated target program. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • the learning device 50 of the present embodiment learns the data related to the program configuration data of the programs broadcasted in the past and the data related to the actual value of the audience rating.
  • the data regarding the actual value of the audience rating is the data for correcting the estimated value of the audience rating in a more correct direction.
  • the correction data is input and used for machine learning, so that the learning cycle progresses so that the estimation accuracy of the audience rating is improved. Therefore, it is possible to improve the estimation accuracy of the audience rating.
  • FIGS. 13 and 14 show an operation example of the learning device 50 of the present embodiment.
  • the learning data input unit 51 of the learning device 50 receives the learning data and stores it in the learning data storage unit 62 (step S301 in FIG. 13). Further, the model generation unit 53 generates an estimation model for estimating the audience rating based on the learning data stored in the learning data storage unit 52 at a predetermined timing. Then, the model generation unit 53 transmits the generated estimation model to the audience rating estimation device 30 (step S302 in FIG. 14).
  • the receiving unit 11 of the audience rating estimation device 30 receives the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program (step S401).
  • the output unit 32 estimates the audience rating of the estimation target program based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program (step S402). ).
  • the output unit 32 estimates the audience rating based on the estimation model received from the learning device 50.
  • the output unit 32 outputs the estimated value data indicating the estimated value of the audience rating of the estimation target program to the display control unit 23. Then, the display control unit 23 causes the display means 60 to display the estimated value of the audience rating of the estimation target program based on the estimated value data (step S403).
  • the audience rating estimation device 30 includes the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating an estimated value of the audience rating of the program to be estimated, which is estimated based on. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • the audience rating estimation device 40 of the present embodiment has past difference data indicating a difference in program configuration data between two programs broadcasted in the past with respect to the audience rating estimation device 20 of the second embodiment.
  • a function to output the actual value difference data showing the difference between the actual values of the audience rating is added.
  • FIG. 16 shows a configuration example of the audience rating estimation system of the present embodiment.
  • the audience rating estimation system of the present embodiment includes an audience rating estimation device 40, an audience rating providing device 80, and a display means 60.
  • the commercial broadcasting system 70 includes an audience rating estimation device 40 and a display means 60. Since the commercial broadcasting system 70, the audience rating providing device 80, and the display means 60 are the same as those in the second embodiment, the description thereof will be omitted.
  • the audience rating estimation device 40 estimates the audience rating of the estimation target program to be broadcast in the future.
  • the audience rating estimation device 40 estimates the audience rating of the estimation target program to be broadcast in the future, similarly to the audience rating estimation device 20 of the second embodiment. Further, the audience rating estimation device 40 shows the difference between the past difference data indicating the difference in the program configuration data between the predetermined two past programs and the actual value of the audience rating between the two programs. Outputs the value difference data.
  • the audience rating estimation device 40 outputs the past difference data and the actual value difference data, so that the user can set the condition for the audience rating estimation based on the past difference data and the actual value difference data. It becomes possible to set for the estimation device 40. Therefore, it becomes possible to further improve the estimation accuracy of the audience rating.
  • FIG. 17 shows a configuration example of the audience rating estimation device 40 of the present embodiment.
  • the audience rating estimation device 40 of the present embodiment includes a reception unit 41, an output unit 42, and a display control unit 23. Since the display control unit 23 is the same as that of the second embodiment, the description thereof will be omitted.
  • the receiving unit 41 includes the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. To receive. Further, the receiving unit 41 receives the program configuration data of a predetermined past program and the actual value of the audience rating. The receiving unit 41 receives the program configuration data and the actual value of the audience rating for a plurality of predetermined past programs.
  • the output unit 42 estimates the audience rating of the program to be estimated and outputs the estimated value data indicating the estimated value, similarly to the output unit 12 of the audience rating estimation device 20 of the second embodiment.
  • the output unit 42 of the present embodiment determines the difference between the past difference data indicating the difference in the program configuration data between the two predetermined past programs and the actual value of the audience rating between the two programs. Generates the actual value difference data shown. Then, the output unit 42 outputs the generated past difference data and the actual value difference data in association with each other.
  • the actual value difference data shows the difference in the audience rating for each viewer group.
  • the past difference data and the actual value difference data between the two programs are generated by a preset instruction or an instruction input according to the user operation.
  • which past difference data and the actual value difference data are to be output is also specified by a preset instruction or an instruction input according to the user operation.
  • the output unit 42 can generate one or two or more of the past difference data and the actual value difference data. Further, the output unit 42 can output one or more of the past difference data and the actual value difference data.
  • the receiving unit 41 may receive a condition setting instruction for instructing the past difference data used as a condition when estimating the audience rating.
  • the condition setting instruction is, for example, a viewing rate estimation device in which the user refers to the past difference data output by the output unit 42, the user selects the past difference data to be used as a condition, and the selected past difference data is selected. It is input by the user operating 40.
  • the output unit 42 adds the condition corresponding to the difference indicated by the past difference data instructed by the condition setting instruction to the condition used when estimating the audience rating. do.
  • the condition to be added is that the difference indicated by the past difference data instructed by the condition setting instruction is included in the difference in the program configuration data between the estimation target program and the comparison target program.
  • the output unit 42 adds a predetermined addition value to the actual value of the audience rating of the comparison target program to obtain the estimation target program. Estimate the audience rating. As this addition value, the output unit 42 uses the difference value (which may be a minus sign) indicated by the actual value difference data associated with the past difference data specified by the condition setting instruction.
  • the receiving unit 41 may receive a condition exclusion instruction that indicates past difference data that is not used as a condition when estimating the audience rating.
  • the output unit 42 estimates the audience rating according to the difference indicated by the past difference data excluding the past difference data instructed by the condition exclusion instruction from the output past difference data. Add to the conditions used at the time.
  • the audience rating estimation device 40 is based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating the estimated estimated value of the audience rating of the estimated target program. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • the audience rating estimation device 40 of the present embodiment determines the difference between the past difference data indicating the difference in the program configuration data between the two past programs and the actual value of the audience rating between the two programs.
  • the actual value difference data shown is output. This makes it possible for the user to easily set the conditions used for estimating the audience rating.
  • the audience rating estimation device 40 of the present embodiment estimates the audience rating of the program to be estimated. Since the operation example of the audience rating estimation is the same as the operation example (FIG. 9) of the audience rating estimation device 20 of the second embodiment, the description thereof will be omitted.
  • FIG. 18 shows an operation example of the audience rating estimation device 40 of the present embodiment.
  • FIG. 18 is a diagram showing an example of an operation related to output of past difference data and actual value difference data among the operations of the audience rating estimation device 40 of the present embodiment.
  • the receiving unit 41 of the audience rating estimation device 40 receives the program configuration data of a predetermined past program and the actual value of the audience rating.
  • the receiving unit 41 receives the program configuration data and the actual value of the audience rating for a plurality of predetermined past programs (step S501).
  • the output unit 42 shows the difference between the past difference data indicating the difference in the program configuration data between the two programs and the actual value of the audience rating between the two programs for the predetermined two past programs. Generate value difference data (step S502). Then, the output unit 42 outputs the generated past difference data and the actual value difference data in association with each other (step S503).
  • the audience rating estimation device 40 includes the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program. Outputs estimated value data indicating an estimated value of the audience rating of the program to be estimated, which is estimated based on. This makes it possible to estimate the audience rating of the program to be broadcast in the future based on the program composition data in addition to the actual value of the audience rating of the program broadcast in the past. Therefore, it is possible to improve the estimation accuracy of the audience rating of the program to be broadcast in the future.
  • the audience rating estimation device may be realized by using at least two or more information processing devices physically or functionally. Further, the audience rating estimation device may be realized as a dedicated device, or a general-purpose device may be used. Further, only a part of the functions of the audience rating estimation device may be realized by using the information processing device.
  • FIG. 19 is a diagram schematically showing a hardware configuration example of an information processing device capable of realizing the audience rating estimation device of each embodiment of the present invention.
  • the information processing device 90 includes a communication interface 91, an input / output interface 92, an arithmetic unit 93, a storage device 94, a non-volatile storage device 95, and a drive device 96.
  • the receiving unit 11 in FIG. 1 can be realized by the communication interface 91, and the output unit 12 can be realized by the arithmetic unit 93 and the communication interface 91.
  • the communication interface 91 is a communication means for the audience rating estimation device of each embodiment to communicate with an external device at least one of wired and wireless.
  • the devices may be connected so as to be able to communicate with each other via the communication interface 91.
  • the input / output interface 92 is a man-machine interface such as a keyboard as an example of an input device and a display as an output device.
  • the arithmetic unit 93 is realized by, for example, an arithmetic processing unit such as a CPU (Central Processing Unit) or a microprocessor, or a plurality of electric circuits.
  • the arithmetic unit 93 can, for example, read various programs stored in the non-volatile storage device 95 into the storage device 94 and execute processing according to the read programs.
  • the storage device 94 is a memory device such as a RAM (RandomAccessMemory) that can be referenced from the arithmetic unit 93, and stores programs, various data, and the like.
  • the storage device 94 may be a volatile memory device.
  • the non-volatile storage device 95 is a non-volatile storage device such as a ROM (Read Only Memory), a flash memory, etc., and can store various programs, data, and the like.
  • ROM Read Only Memory
  • flash memory etc.
  • the drive device 96 is, for example, a device that processes data reading and data writing recorded on a recording medium 97, which will be described later.
  • the recording medium 97 is an arbitrary recording medium capable of recording data, such as an optical disk, a magneto-optical disk, or a semiconductor flash memory.
  • the audience rating estimation device is configured by the information processing device 90 illustrated in FIG. 19, and the function described in each of the above embodiments can be realized for the audience rating estimation device. It may be realized by supplying.
  • the embodiment can be realized by the arithmetic unit 93 executing the program supplied to the audience rating estimation device. It is also possible to configure some functions of the audience rating estimation device, not all of them, in the information processing device 90.
  • the program may be recorded in the recording medium 97, and the program may be appropriately stored in the non-volatile storage device 95 at the shipping stage, the operation stage, or the like of the audience rating estimation device.
  • a method of installing the program in the audience rating estimation device by using an appropriate jig may be adopted at the manufacturing stage before shipment, the operation stage, or the like.
  • a general procedure such as a method of downloading from the outside via a communication line such as the Internet may be adopted.
  • the audience rating of the estimation target program estimated based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • An audience rating estimation device including an output means for outputting estimated value data indicating an estimated value.
  • the audience rating is characterized in that it is at least one of a household audience rating calculated based on a household and a viewer audience rating calculated for each viewer group that classifies viewers.
  • the audience rating estimation device according to Appendix 1.
  • the audience rating estimation device according to any one of Supplementary note 1 to Supplementary note 3, characterized in that the performance is performed by adding a predetermined addition value to the actual value of the rate.
  • Appendix 5 The audience rating according to Appendix 4, wherein the output means outputs data indicating the conditions satisfied by the difference between the program configuration data of the estimation target program and the program configuration data of the comparison target program. Estimator.
  • the output means is an actual value showing the difference between the past difference data indicating the difference between the program configuration data between two predetermined past programs and the actual value of the audience rating between the two programs.
  • the audience rating estimation device according to any one of Supplementary note 1 to Supplementary note 5, characterized in that the difference data is associated with the output.
  • the output means estimates the audience rating of the estimation target program based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • the audience rating estimation device according to any one of Supplementary note 1 to Supplementary note 3, characterized in that the audience rating of the program to be estimated is estimated based on the estimation model.
  • Addendum 7 is further provided with a model generation means for generating the estimation model based on the learning data including the data related to the program configuration data of the program broadcasted in the past and the data related to the actual value of the audience rating. Audience rating estimation device according to.
  • Appendix 9 Any of Appendices 1 to 8, wherein the display control means for displaying the actual value of the audience rating of the comparison target program and the estimated value of the audience rating of the estimation target program side by side on the display means is provided. Audience rating estimation device described in Crab.
  • Appendix 10 The display control means is described in Appendix 9, wherein the display means displays the difference between the actual value of the audience rating of the comparison target program and the estimated value of the audience rating of the estimation target program. Audience rating estimation device.
  • program structure data includes any one or more of program frame structure data, which is data related to the program frame, data related to the genre, and data related to the program content. Audience rating estimation device.
  • the appendix is characterized in that the program composition data includes any one or more of the program frame composition data for the programs of the previous program frame and the next program frame, the data relating to the genre, and the data relating to the program content. 11.
  • the audience rating estimation device according to 11.
  • the program composition data of the predetermined estimation target program to be broadcast in the future, the program composition data of the predetermined comparison target program broadcasted in the past, and the actual value of the audience rating of the comparison target program are received.
  • the audience rating of the estimation target program estimated based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • An audience rating estimation method characterized by outputting estimated value data indicating an estimated value.
  • the audience rating is characterized in that it is at least one of a household audience rating calculated based on a household and a viewer audience rating calculated for each viewer group that classifies viewers.
  • Appendix 15 The audience rating estimation method according to Appendix 13 or Appendix 14, wherein the audience rating is at least one of a real-time audience rating, a time-shifted audience rating, and the number of impressions of simultaneous Internet distribution.
  • Appendix 17 The audience rating estimation method according to Appendix 16, wherein data indicating the conditions satisfied by the difference between the program composition data of the estimation target program and the program composition data of the comparison target program is output.
  • Appendix 20 The audience rating estimation according to Appendix 19, wherein the estimation model is generated based on learning data including data on the program configuration data of a program broadcasted in the past and data on the actual value of the audience rating. Method.
  • program structure data includes any one or more of program frame structure data, which is data related to the program frame, data related to the genre, and data related to the program content. Audience rating estimation method.
  • the appendix is characterized in that the program composition data includes any one or more of the program frame composition data for the programs of the previous program frame and the next program frame, the data relating to the genre, and the data relating to the program content. 23. The audience rating estimation method.
  • the audience rating of the estimation target program estimated based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • a computer-readable recording medium that records an audience rating estimation program which is characterized by providing a computer with an output function that outputs estimated value data indicating an estimated value.
  • the audience rating is characterized in that it is at least one of a household audience rating calculated based on a household and a viewer audience rating calculated for each viewer group that classifies viewers.
  • Appendix 27 The audience rating estimation program according to Appendix 25 or Appendix 26, characterized in that the audience rating is at least one of a real-time audience rating, a time-shifted audience rating, and the number of impressions of simultaneous Internet distribution, is recorded.
  • Computer-readable recording medium The audience rating estimation program according to Appendix 25 or Appendix 26, characterized in that the audience rating is at least one of a real-time audience rating, a time-shifted audience rating, and the number of impressions of simultaneous Internet distribution, is recorded.
  • the output function performs the viewing of the comparison target program according to a condition that the difference between the program composition data of the estimation target program and the program composition data of the comparison target program satisfies the estimation of the audience rating.
  • a computer-readable recording medium recording the audience rating estimation program according to any one of Supplementary Provisions 25 to 27, which is performed by adding a predetermined addition value to the actual value of the rate.
  • Appendix 29 The audience rating according to Appendix 28, wherein the output function outputs data indicating the conditions satisfied by the difference between the program configuration data of the estimation target program and the program configuration data of the comparison target program.
  • the output function is an actual value showing the difference between the past difference data indicating the difference between the program configuration data between two predetermined past programs and the actual value of the audience rating between the two programs.
  • the output function estimates the audience rating of the estimation target program based on the program composition data of the estimation target program, the program composition data of the comparison target program, and the actual value of the audience rating of the comparison target program.
  • a computer-readable recording medium recording the audience rating estimation program according to any one of Appendix 25 to Appendix 27, which estimates the audience rating of the program to be estimated based on the estimation model.
  • Appendix 32 It is characterized by further realizing a model generation function for generating the estimation model based on training data including data on the program configuration data of a program broadcasted in the past and data on the actual value of the audience rating.
  • Appendix 34 The display control function is described in Appendix 33, wherein the display means displays a difference between the actual value of the audience rating of the comparison target program and the estimated value of the audience rating of the estimation target program.
  • a computer-readable recording medium that records the audience rating estimation program.
  • program structure data includes any one or more of program frame structure data, which is data related to the program frame, data related to the genre, and data related to the program content.
  • program frame structure data is data related to the program frame, data related to the genre, and data related to the program content.
  • a computer-readable recording medium that records the viewing rate estimation program.
  • Appendix 36 The appendix characterized in that the program composition data includes any one or more of the program frame composition data for the programs of the previous program frame and the next program frame, the data relating to the genre, and the data relating to the program content.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

L'invention concerne, afin de permettre d'améliorer la précision d'estimation des parts d'audience de programmes à diffuser dans le futur, un dispositif d'estimation de parts d'audience qui reçoit des données de configuration de programme d'un programme à diffuser dans le futur donné qui est soumis à l'estimation, des données de configuration de programme de programmes diffusés dans le passé donnés qui sont utilisés à des fins de comparaison et des valeurs réelles de parts d'audience des programmes qui sont utilisés aux fin de la comparaison ; et délivre des données de valeur estimée indiquant une valeur estimée de la part d'audience du programme soumis à l'estimation, ladite valeur estimée ayant été estimée sur la base des données de configuration de programme du programme soumis à l'estimation, des données de configuration de programme des programmes diffusés dans le passé étant utilisés aux fins de la comparaison et des valeurs réelles des parts d'audience des programmes étant utilisés aux fins de la comparaison.
PCT/JP2020/024319 2020-06-22 2020-06-22 Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement WO2021260755A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2020/024319 WO2021260755A1 (fr) 2020-06-22 2020-06-22 Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement
JP2022531248A JP7464711B2 (ja) 2020-06-22 2020-06-22 視聴率推定装置、視聴率推定方法および視聴率推定プログラム

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/024319 WO2021260755A1 (fr) 2020-06-22 2020-06-22 Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement

Publications (1)

Publication Number Publication Date
WO2021260755A1 true WO2021260755A1 (fr) 2021-12-30

Family

ID=79282202

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2020/024319 WO2021260755A1 (fr) 2020-06-22 2020-06-22 Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement

Country Status (2)

Country Link
JP (1) JP7464711B2 (fr)
WO (1) WO2021260755A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010153A (ja) * 2000-06-26 2002-01-11 Toshiba Corp 放送受信装置、視聴予測方法及び番組広告放映スケジュール決定方法
JP2010130585A (ja) * 2008-11-28 2010-06-10 Video Research:Kk 視聴率予測装置および視聴率予測プログラム
KR101533043B1 (ko) * 2014-02-05 2015-07-02 한국기술교육대학교 산학협력단 Tv 프로그램 시청률 예측 시스템 및 그 예측 방법
WO2018131576A1 (fr) * 2017-01-10 2018-07-19 株式会社電通 Système d'optimisation de créneau publicitaire et procédé d'optimisation de créneau publicitaire dans des supports de diffusion tels que la télévision
JP2019004370A (ja) * 2017-06-16 2019-01-10 株式会社インターネットイニシアティブ 視聴率推定システム、方法およびコンピュータプログラム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010153A (ja) * 2000-06-26 2002-01-11 Toshiba Corp 放送受信装置、視聴予測方法及び番組広告放映スケジュール決定方法
JP2010130585A (ja) * 2008-11-28 2010-06-10 Video Research:Kk 視聴率予測装置および視聴率予測プログラム
KR101533043B1 (ko) * 2014-02-05 2015-07-02 한국기술교육대학교 산학협력단 Tv 프로그램 시청률 예측 시스템 및 그 예측 방법
WO2018131576A1 (fr) * 2017-01-10 2018-07-19 株式会社電通 Système d'optimisation de créneau publicitaire et procédé d'optimisation de créneau publicitaire dans des supports de diffusion tels que la télévision
JP2019004370A (ja) * 2017-06-16 2019-01-10 株式会社インターネットイニシアティブ 視聴率推定システム、方法およびコンピュータプログラム

Also Published As

Publication number Publication date
JPWO2021260755A1 (fr) 2021-12-30
JP7464711B2 (ja) 2024-04-09

Similar Documents

Publication Publication Date Title
US10748174B1 (en) Frequency optimization of advertisement insertion in media streams
JP6918884B2 (ja) インプレッションデータの帰属先の誤判定及び／又はデータベース保有者による未カバーを補償する方法及び装置
US20230115894A1 (en) Methods, apparatus, and systems to collect audience measurement data
US8255949B1 (en) Television program targeting for advertising
US9508086B2 (en) Methods and apparatus to monitor, verify, and rate the performance of airings of commercials
US6457010B1 (en) Client-server based subscriber characterization system
JP2009088777A (ja) 広告選択最適化処理装置及びその処理方法
US8249912B2 (en) Method for determining, correlating and examining the causal relationships between media program and commercial content with response rates to advertising and product placement
Anand et al. Advertising, the matchmaker
US7802280B2 (en) Approving transcoded advertisements in advertisement front end
US8103707B2 (en) Method and system for presenting non-linear content based on linear content metadata
JP2010522944A (ja) テレビインプレッション予測
JPWO2018131576A1 (ja) 広告枠最適化システム、広告枠最適化方法及びターゲットアクチュアル最適化装置
CN105448214A (zh) 可控电子屏的广告显示方法及装置
WO2021260755A1 (fr) Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience et support d'enregistrement
KR20090110641A (ko) 광고 관리 방법 및 장치
JP7066429B2 (ja) 広告配信システム、コンテンツ視聴端末、広告配信装置及びプログラム
WO2022018922A1 (fr) Dispositif de conversion, procédé de conversion et support d'enregistrement
WO2021215175A1 (fr) Dispositif d'estimation de part d'audience, procédé d'estimation de part d'audience, et support de stockage
JP6902636B1 (ja) 予測装置、予測方法、及び予測プログラム
KR101688087B1 (ko) 개인화 광고를 제공하는 장치
JP2021083093A (ja) テレビ番組用広告の提供方法
Green Audience Measurement in the Data Age
JP6772847B2 (ja) 評価装置、表示装置、評価方法、表示方法及びプログラム
JP5871316B2 (ja) 情報処理装置、情報処理システム、情報処理方法、及びプログラム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20942092

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2022531248

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20942092

Country of ref document: EP

Kind code of ref document: A1