JP7203523B2 - Viewing history analysis device, viewing history analysis method, and viewing history analysis system for viewing broadcast programs - Google Patents

Description

The present embodiment relates to a viewing history analysis apparatus, a viewing history analysis method, and a viewing history analysis system in viewing a broadcast program.

These days, when big data analysis is generally performed, it is popular to analyze an individual's action history and to provide services based on the analysis result. For example, by collecting the access history of users who have accessed a server on the Web via the Internet, analyzing the access trends of all users, and based on the analysis results, advertisements for individual users who have accessed There are services that do

JP 20017-28353 A JP 20017-188932 A WO 1998/026608

Broadcast wave receivers that receive broadcast waves are also increasing in models that can be connected to a network such as the Internet. For this reason, a server on the cloud, which is connected to broadcast wave receivers via a network, collects viewing histories of programs viewed by users of each broadcast wave receiver, and uses the results of analysis of the collected viewing histories to provide services. may do so. The services provided by this server are mainly provided to individual users of broadcast wave receivers.

On the other hand, as the number of broadcast wave receivers that can be connected to networks such as the Internet increases, the number of user viewing histories that can be collected by a server is increasing. For this reason, it is desired to analyze the vast amount of viewing history information to grasp the overall trend of program viewing by a large number of users of broadcast wave receiving apparatuses, and to use this information for program organization and program advertisement. is coming.

Therefore, the embodiment of the present invention analyzes a huge amount of viewing history information to grasp the overall tendency of the user of the broadcast wave receiving device, and based on that tendency, the most effective service for many users. It is an object of the present invention to provide a viewing history analysis device, a viewing history analysis method, and a viewing history analysis system capable of providing value-added data.

The viewing history analysis device of this embodiment includes:
Acquiring and analyzing a viewing history, which is a history of viewing a broadcast program of a user of a broadcast wave receiving device that receives a broadcast program transmitted by a broadcast wave, together with an identification number that individually identifies the broadcast wave receiving device. comprising an analysis unit and a service providing unit that provides a service based on the analysis result of the analysis unit;
The analysis unit analyzes the viewing history of the first section, which is a predetermined section, of the broadcast wave receiving device having the first identification number, which is the predetermined identification number, in the acquired viewing history. A viewing history analysis device that analyzes a certain first viewing history.

FIG. 1 is a diagram showing a configuration example of an entire system including a broadcast signal transmitter, a server, and a broadcast signal receiver according to this embodiment. FIG. 2 is a diagram schematically showing a configuration example of a television receiver. FIG. 3 is a diagram schematically showing a configuration example of a server. FIG. 4 is a diagram showing a configuration example of the entire system when the analysis unit and the service provision unit are outside the server 120. As shown in FIG. FIG. 5A is a diagram showing an image of a viewing history group A selected as an analysis target by the analysis unit from the huge amount of viewing history collected by the collection unit. FIG. 5B is a diagram showing an example in which viewing histories of a television receiver whose viewing histories exist in a period T, which is a time of a certain period, are set as a viewing history group A to be analyzed by the analysis unit. . FIG. 5C is a diagram showing an example in which the viewing history of the television receiver 140 in which the viewing history of a certain program A exists is set as the viewing history group A to be analyzed by the analysis unit 123 . FIG. 6 is a diagram showing the overall flow of visualizing the viewing history group A from various viewpoints. FIG. 7 is a diagram showing a specific example of an analysis method in target stratum analysis. FIG. 8 is a diagram showing another specific example of the analysis method in target stratum analysis. FIG. 9 is a diagram showing another specific example of the analysis method in target stratum analysis. FIG. 10 is a diagram showing another specific example of the analysis method in target stratum analysis. FIG. 11 is a diagram showing another specific example of the analysis method in target stratum analysis. FIG. 12 is a diagram showing another specific example of the analysis method in target stratum analysis. FIG. 13A is a diagram showing an example of narrowing down more desirable users by repeating step 1 target discovery for narrowing down all users to a specific user group in cooperation with step 2 target group analysis. FIG. 13B is a diagram showing an example in which the number of views "2" to "12" is selected. FIG. 13C is a diagram showing an example of selecting the number of viewing times from "3" to "12". FIG. 13D is a diagram showing an example of selecting the number of views from "4" to "12". FIG. 13E is a diagram showing an example of popup display when a plurality of contents displayed in the display area 1305 are selected. FIG. 14A is a diagram showing another example of narrowing down more desirable users by repeating step 1 target discovery for narrowing down all users to a certain specific user group in cooperation with step 2 target group analysis. FIG. 14B is a diagram showing an example in which the date set in the date 1401-1 is changed from that of FIG. 14A. FIG. 14C is a diagram showing an example in which channels to be set are changed from those in FIG. 14A. FIG. 14D is a diagram showing an example in which the channel set to channel 1401-2 is changed from FIG. 14C. FIG. 15 is a diagram showing an example of the result of analyzing the viewing history of the user who has viewed the series programs shown in FIGS. 13A, 13B, 13C, 13D, and 13E using broadcast episodes (broadcast episodes) and demograms. is. FIG. 16 shows an example of visualizing the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. It is a diagram. FIG. 17A shows another example of visualizing the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. It is a diagram showing. FIG. 17B, similar to FIG. 17A, visualizes the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. FIG. 11 is a diagram showing another example; FIG. 17C, similar to FIG. 17A, visualizes the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. FIG. 11 is a diagram showing another example;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing a configuration example of an entire system including a broadcast signal transmitter 100, a server 120, and a broadcast signal receiver 140 according to this embodiment.
Reference numeral 100 denotes a broadcast signal transmitting apparatus (also called a broadcasting station) that broadcasts broadcast programs, and includes a broadcast program server 101 and a first basic function 102 .

The broadcast program server 101 is an area in which data of programs to be broadcast by the broadcasting station 100, program names, broadcast dates, descriptions of contents, and the like are stored in advance.
A first basic function 102 is a basic function of the broadcasting station 100, and has a function of encoding (also referred to as encoding) video signals, audio signals, etc. of programs to be broadcast, multiplexing them, and transmitting them as broadcast signals. .

A server 120 exists on the cloud and collects viewing histories of programs viewed by the user of the broadcast signal receiving apparatus 140 .
The server 120 identifies each broadcast signal receiver 140 by an identification number that each broadcast signal receiver 140 has. The identification number possessed by the broadcast signal receiving device 140 is composed of, for example, a combination of numbers and alphabets.

The identification management unit 121 has a function of collecting and managing the identification numbers possessed by the broadcast signal receiving device 140 via the network 180 . The identification management unit 121 may collect identification numbers possessed by the broadcast signal reception device 140, for example, when the broadcast signal reception device 140 is initialized.
The collection unit 122 has a function of collecting a viewing history, which is a history of viewing broadcast programs by the user of the broadcast signal receiving device 140 .

The analysis unit 123 has a function of analyzing the viewing history collected by the collection unit 122 .
The service providing unit 124 has a function of providing services based on the analysis result of the analysis unit 123 .
The service providing unit 124 may provide useful information for the user of the broadcast signal receiving device 140 based on the analysis result of the analyzing unit 123, for example. Alternatively, the service providing unit 124 may, based on the result analyzed by the analyzing unit 123, provide information that is beneficial to the broadcasting station 100, the program production company, the sponsor of the program, etc. who broadcast the program to the broadcast signal receiving device 140, for example. You may provide information.

A broadcast signal receiver 140 receives a program broadcast by the broadcast signal transmitter 100 , and includes a digital broadcast reception function (second basic function 141 ) and a control unit 142 . The broadcast signal receiver 140 may be, for example, a television receiver, or may be a recorder having a function of recording programs sent by broadcast waves. In the following description, broadcast signal receiving device 140 will be described as television receiving device 140 .

The second basic function 141 is a basic function of the television receiver 140. It receives broadcast waves sent from the broadcasting station 100, and converts encoded video signals (video streams) included in the broadcast waves. ), encoded audio signals (also called audio streams), application data and transmission control signals, decodes video and audio signals, receives application data, and analyzes transmission control signals. It has the function of

The control unit 142 has a function of controlling the entire television receiver 140 . The control unit 142 also has a recording unit 143 that has a recording function. The control unit 142 also controls peripheral devices connected to the television receiver 140, such as a display device 160, a speaker 161, an HDD (Hard Disk Drive) 162 bound to the television receiver 140, a removable media 170, and so on. It also manages connections and data transmission/reception.

The display device 160 has a built-in speaker 161 , displays the video signal decoded by the second basic function 141 on the display area, and outputs the audio signal from the speaker 161 . Note that the speaker 161 built in the display device 160 may be an external speaker connected via an I/F such as USB.

In the example of FIG. 1 , the display 160 is described as being separate from the television receiver 140 , but may be integrated with the television receiver 140 as one function of the television receiver 140 .
FIG. 2 is a diagram schematically showing a configuration example of the television receiver 140. As shown in FIG. The television receiver 140 includes a second basic function 141 which is a function of receiving broadcast waves, and a control section 142 . The television receiver 140 is also connected to the display 160 . The display 160 may incorporate a speaker 161 .

The second basic function 141 has a terrestrial digital television tuner 201-1 for terrestrial digital television broadcasting, a terrestrial digital demultiplexer 202-1, a terrestrial digital descrambler 203-1, and a video and audio 2K decoder 204-1. Similarly, the second basic function 141 includes a BS tuner 201-2 for BS digital broadcasting, a BS demultiplexer 202-2, a BS descrambler 203-2, a 2K video and audio decoder 204-2, and a 4K decoder 204. -3, has a decoder 204-4 for 8K. Similarly, the second basic function 141 includes a CS tuner 201-3 for CS digital broadcasting, a CS demultiplexer 202-3, a CS descrambler 203-3, a video and audio decoder 204-5 for 2K, and a decoder 204 for 4K. -6.

When the television receiver 140 receives a broadcast signal of digital terrestrial television broadcasting, the broadcast tuner 201-1 demodulates the stream (broadcast signal) sent by the broadcast wave. The demodulated stream (broadcast signal) is input to the terrestrial digital demultiplexer 202-1. The terrestrial digital broadcasting demultiplexer 202-1 separates the input multiplexed stream into a video stream, an audio stream, a caption stream, application data, and a transmission control signal, and inputs the video stream and the audio stream to the terrestrial digital broadcasting descrambler 203-1. do.

The terrestrial digital broadcasting descrambler 203-1 descrambles the video stream and the audio stream and inputs them to the 2K decoder 204-1.
The video stream and audio stream are decoded by the 2K decoder 204-1.
The decoded video data is output to the display device 160 via the video/audio/caption data processing unit 206 and the display signal output unit 207 . The decoded audio data is output to the speaker 161 built in the display device 160 via the video/audio/subtitle data processing unit 206 and the display signal output unit 207 .

The video/audio/subtitle data processing unit 206 can perform brightness adjustment, color correction, and the like on video data, and can perform sound quality adjustment, frequency characteristic adjustment, and the like on audio data. .
The display signal output unit 207 controls chromaticity, resolution, etc. according to the display capability of the display device 160 .

The audio signal output section 208 can convert the audio output according to the speaker system (just a stereotype, a 5-channel system, etc.).
When the television receiver 140 receives a BS digital broadcast signal and a CS digital broadcast signal, it receives a stream (broadcast signal) sent by broadcast waves, as in the case of receiving a broadcast signal of digital terrestrial television broadcast. Demultiplexer processing and descrambling processing are performed, and video data is output to the display device 160 and audio data is output to the speaker 161 .

The example of the television receiver 140 in FIG. 2 is an example in which a tuner for digital terrestrial television broadcasting incorporates one of the digital terrestrial television tuners 201-1. may have a built-in tuner. Similarly, the television receiver 140 may incorporate a plurality of BS digital broadcast tuners and a plurality of CS digital broadcast tuners.

The control unit 142 controls the entire television receiver 140 . Also, the control unit 142 acquires the viewing history of the program that the user of the television receiver 140 is viewing, and transmits the acquired viewing history to the server 120 via the network 180 . The control unit 142 has a network I/F 181 that is an I/F with a communication network 180 and a remote controller I/F 182 that is an I/F with a remote controller (remote controller) 190 as I/F with the outside.

Here, the viewing history indicates the history of all programs received by the television receiver 140 through a plurality of tuners. Specifically, for example, the user of the television receiver 140 receives the broadcast wave and watches the program A displayed on the display 160 while simultaneously recording the program B, which is the recording function of the television receiver 140. When recording is performed by the unit 143, the control unit 142 controls the real viewing history, which is the history of viewing program A (referred to as real viewing), and the recording history, which is the history of recording program B (which may be referred to as recorded viewing). Both viewing histories can be acquired. For recording viewing, for example, by reserving a program to be recorded in advance by the reservation function of the recording function, it is possible to record the specified program B in the recording unit 143 at the specified time, without displaying it on the display 160. In some cases, only recording is performed.

Furthermore, even when the user reproduces recorded program B, the control unit 142 can acquire a reproduction viewing history, which is a history of reproduction (referred to as reproduction viewing) of program B. FIG.
As described above, the television receiver 140 of the present embodiment can simultaneously perform three types of viewing modes, namely, real viewing, recorded viewing, and playback viewing, in any combination. Real viewing history, recorded viewing history, and reproduced viewing history, which are corresponding three types of viewing histories, can be acquired at the same time in any combination. Also, the television receiver 140 may be capable of only one of the three viewing modes of real viewing, recorded viewing, and playback viewing.

The viewing history of each viewing mode such as the real viewing history, the recorded viewing history, and the playback viewing history is composed of, for example, a combination of channel number, program name, broadcasting station name, viewing start time and viewing end time. may be The control unit 142 saves the acquired viewing histories in a storage area (not shown) for each type of real viewing history, recorded viewing history, and reproduced viewing history.

The control unit 142 assigns an identification number that the television receiver 140 has to the acquired viewing history, and transmits the acquired viewing history to the server 120 via the network 180 at an arbitrary timing.
FIG. 3 is a diagram schematically showing a configuration example of the server 120. As shown in FIG.
The collection unit 122 collects viewing histories sent from the television receiver 140 via the network 180 and stores them in an internal storage area (not shown) for each assigned identification number. Information relating to storage of the received viewing history, such as a viewing history storage address and an assigned identification number, is transmitted to the identification management unit 121 .

The identification management unit 121 stores and manages the information regarding storage and the identification number sent from the collection unit 122 . Accordingly, the identification management unit 121 can manage viewing history data for each identification number of the television receiver 140 .
The analysis unit 123 analyzes the viewing history stored in the collecting unit 122, for example, the viewing history of the specified identification number for the specified period. The analysis results are sent to the service providing unit 124, and the service providing unit 124 provides services based on the sent analysis results.

Note that the server 120 shown in FIGS. 1 and 3 may include a display unit (not shown) capable of displaying the content of the service provided by the service providing unit 124. FIG. Alternatively, the server 120 may display the contents of the service provided by the service providing unit 124 on a connected external display device (not shown).

Alternatively, analysis unit 123 and service providing unit 124 may be outside server 120 .
FIG. 4 is a diagram showing a configuration example of the entire system when the analyzing unit 123 and the service providing unit 124 are outside the server 120. As shown in FIG. The analyzing unit 123 and the service providing unit 124 may be in a PC (personal computer) 130, for example. Alternatively, the analysis unit 123 and the service provision unit 124 may be in a mobile terminal 130 such as a smart phone or tablet. In this case, the PC or mobile terminal 130 is connected to the server 120 via the network 180 and can access the server 120 . Therefore, the PC or mobile terminal 130 can acquire the viewing history information stored in the collection unit 122 at any location. Also, the operator of the PC or mobile terminal 130 can perform analysis by the analysis unit 123 at any place. Further, the operator of the PC or mobile terminal 130 can provide services and value-added data at any location by the service providing unit 124 based on the analysis result of the analyzing unit 123 . Mobile terminal 130 including analysis unit 123 and service providing unit 124 may be called a viewing history analysis device.

The service provided by the service providing unit 124 may be the provision and display of visualized data based on the analysis result of the analysis unit 123, for example. The visualized data is, for example, viewing history group A, which is a collection of viewing histories of television receivers 140 having identification numbers that are analyzed by the analyzing unit 123 from among the vast amount of viewing histories collected by the collecting unit 122. Furthermore, by reorganizing the viewing history group A from various viewpoints using various parameters, the user can understand by using graphs and tables that there is a certain tendency in the viewing history group A, which has been seen as chaotic. It is to provide and display in a form that is easy to use.

Such a service for visualizing the viewing history group A can be useful information for the side that broadcasts programs to the television receiver 140, such as the broadcasting station 140, program production companies, and program sponsors.
FIG. 5A is a diagram illustrating how a viewing history group A to be analyzed by the analysis unit 123 is selected from a huge amount of viewing histories collected by the collection unit 122 .

The horizontal axis of FIG. 5A is time.
The vertical axis in FIG. 5A is the identification number that the television receiver 140 has. Square frames 501 to 513 in FIG. 5A represent the start to end of the viewing history of the television receiver 140 corresponding to the identification number. The reason why there are a plurality of square frames in the time axis direction for one identification number is that the viewing history is divided into a plurality of pieces due to interruption in viewing of the program by the television receiver 140 corresponding to the identification number. indicates that For example, the viewing history 506, which is the viewing history of the television receiver 140 with the identification number 6, is composed of two viewing histories, that is, the viewing history 506-(1) and the viewing history 506-(2). .

By expressing in this way, the entire area of the square frames (viewing history) piled up for each identification number of the television receiver 140 can be expressed as the entire viewing history collected by the collection unit 122 .
The analysis unit 123 can determine a viewing history group A, which is the viewing history to be analyzed, by extracting viewing histories satisfying a certain condition from the entire viewing histories shown in FIG. 5A.

For example, the analysis unit 123 may set the viewing history of viewing by the user during a certain period of time as an analysis target.
FIG. 5B shows the viewing history of the television receiver 140 in which the viewing history exists in the interval T, which is the time of a certain interval, with respect to the entire viewing history shown in FIG. 5A. FIG. 10 is a diagram showing an example of viewing history group A; The viewing histories 501-B to 513-B in FIG. 5B are the same as the viewing histories 501 to 513 in FIG. 5A.

Square frames 501-B, 502-B, 503-B, 505-B (505-B(1) and 505-B(2)), 507-B, 508-B, 510-B, 513-B (513 -B(1) and 513-B(2)) are viewing histories of the television receiver 140 having the corresponding identification number. The corresponding square frames 501-B, 502-B, 503-B, 505-B (505-B(1) and 505-B(2)), 507-B, 508-B, 510-B, 513- The entire area of the rectangular frame (viewing history) obtained by combining B (513-B(1) and 513-B(2)) is the viewing history group A to be analyzed by the analysis unit 123. FIG. Alternatively, among the corresponding square frames 501-B, 502-B, 503-B, 505-B, 507-B, 508-B, 510-B, and 513-B, it exists in section T (surrounded by 550). b) The entire area including only the parts may be used as the viewing history group A to be analyzed by the analysis unit 123 . Alternatively, only the continuous viewing histories including the section T among the viewing histories existing in the section T may be set as the viewing history group A to be analyzed by the analysis unit 123 . Specifically, a rectangular frame (viewing history ) may be used as the viewing history group A to be analyzed by the analysis unit 123 .

It should be noted that the section T in the example of FIG. 5B does not have to be a section of continuous time, but may consist of a plurality of sections of continuous time, and the multiple sections may be discontinuous.
Further, for example, the analysis unit 123 may set the viewing history of the television receiver 140 in which there is a viewing history of viewing a certain program A as an analysis target.

In FIG. 5C, the viewing history of the television receiver 140 in which the viewing history of a certain program A exists in the entire viewing history shown in FIG. It is a figure showing an example. The viewing histories 501-C to 513-C in FIG. 5C are the same as the viewing histories 501 to 513 in FIG. 5A.

Square frame 504-C (504-C (1) and 504-C (2) and 504-C (3)), 507-C, 511-C (511-C (1) and 511-C (2) and 511-C(3)) and 512-C are viewing histories of the television receiver 140 having the corresponding identification number. The entire area of the square frame (viewing history) obtained by combining the corresponding square frames 504-C, 507-C, 511-C, and 512-C is the viewing history group A to be analyzed by the analysis unit 123. FIG. Alternatively, among the corresponding square frames 504-C, 507-C, 511-C, and 512-C, only continuous viewing histories including the viewing history of program A are included in the viewing history group to be analyzed by the analyzing unit 123. It may be A. Specifically, the square frame (viewing history) that combines 504-C (1), 504-C (2), 507-C, 511-C (2), 511-C (3), and 512-C The entire area may be the viewing history group A to be analyzed by the analysis unit 123 (504-C(1), 504-C(2), 511-C(2), 511-C(3) include It is assumed that the viewing history of program A is included, and the viewing history of program A is not included in 504-C(3) and 511-C(1)).

The analysis unit 123 inquires of the collection unit 122 about the conditions necessary for determining the viewing history group A, and can obtain from the collection unit 122 the viewing history data of the identification numbers that match the conditions.
As described above, the analysis unit 123 can extract viewing histories that satisfy a certain condition from the huge amount of viewing histories collected by the collecting unit 122 and determine the viewing history group A as an analysis target. This allows the analysis unit 123 to analyze the viewing history of a specific section in the viewing history of the television receiver 140 having the specific identification number. Also, the analysis unit 123 can arbitrarily change the conditions for extracting the viewing history group A. FIG. This allows the analysis unit 123 to change the viewing history to be analyzed, thereby changing the television receiver 140 to be analyzed.

Further, the analysis unit 123 visualizes the viewing history group A from various viewpoints using various parameters in order to provide a visualization service for the viewing history group A. FIG.
A method for visualizing the viewing history group A from various viewpoints using various parameters will be described below.

FIG. 6 is a diagram showing the overall flow of visualizing the viewing history group A from various viewpoints.
The overall flow of visualization is Step 1: Target layer discovery 601, Step 2: Target layer analysis 602, Step 3: Target layer measures 603, Step 4: Target layer effect measurement 604, Step 3 (Round 2): Target layer measures. 605 included.

Target layer discovery 601, which is Step 1, is a phase for determining the viewing history group A to be analyzed by the analysis unit 123 described above.
The viewing history group A in the example shown in FIG. This is an example of a viewing history of viewing.

Viewing history group A is a group of viewing histories collected by the collection unit 122 that is narrowed down to viewing histories in which the user viewed the television receiver 140 in a certain time period. Expressed from the viewpoint of the viewing user, it can be expressed as narrowing down of users who have viewed the television receiver 140 for a certain period of time from among all users of the television receiver 140 .

In this way, it can also be expressed that the viewing history group A is the entire viewing history of the specific user group narrowed down from all users to a specific user group. A particular user group may be called a set.
From the viewpoint of the user viewing the television receiver 140 in this way, for example, the fan base of the specific program group (target example 1), the base who watched the specific program to the end (target example 2), the specific program in the first half Targets such as those who left (target example 3), those who watched only the end of topical programs (target example 4), fans of specific channels (target example 5), and viewers of specific genres (multiple genres possible) (target example). It is also possible to determine a group of users (aggregate) to be the desired user group, and determine the viewing history group A from the viewing histories collected by the collection unit 122 so as to satisfy the conditions. For example, the fan base of a specific program in target example 1 may be defined as a user base that has watched a number of programs equal to or greater than a certain threshold for a time equal to or longer than a certain threshold in a plurality of predetermined programs. good.

The condition for determining the viewing history group A from the viewing histories collected by the collection unit 122 in this way is to determine the user group (group) when expressed from the viewpoint of the user viewing the television receiver 140. is. In order to determine the viewing history group A in this way, the phase of user layer discovery 601 is to determine the user layer viewing the television receiver 140 through trial and error.

Target layer analysis 602, which is Step 2, is a phase in which the user layer determined in target layer discovery 601 and the viewing history group A of the user layer are analyzed, and the viewing history group A is visualized from various points of view. Therefore, the analysis of viewing history group A may be called set analysis.
As an example of visualization of the target group analysis 602, for example, the viewing distribution by channel/program of a specific group is compared with the viewing distribution by channel/program of the entire group including those other than the specific group. Visualize the trend of a specific layer by taking out the difference between Another example is to visualize the commonalities of tastes over a period (several years) by making a list of viewing program rankings in the "past" of a specific group. Specific examples of these visualizations will be described with reference to FIGS. 7 to 11. FIG.

Target layer measure 603, which is Step 3, is a phase in which the results of visualization of target layer analysis 602 are used to determine an advertisement slot for optimal advertisement or program advertisement for a specific layer.
Advertisement slots for advertising and program promotion that are optimal for a specific user group (also called a specific group) are determined by channel, day of the week, and time period when it is believed that there are more specific groups than the overall group (users as a whole). may Also, the result of analyzing the viewing history group A, which incorporates not only the live viewing but also the viewing history of playback viewing, in the target group analysis 602, may be used to determine the optimal advertisement or program advertisement frame for a specific group. .

Target layer effect measurement 604 , which is Step 4, is a phase for measuring the effect of the measures implemented by the target layer measures 603 .
For the measurement of the effect, for example, after the measures performed by the target layer measure 603, the analysis performed by the target layer analysis may be performed again. For example, by comparing the viewership distribution by channel/program of a specific group and the viewing distribution by channel/program of the entire group including those other than the specific group, the tendency of the specific group visualized can be used for the target group measure 603. You can check how it has changed.

Target layer measure 605, which is Step 3 (Round 2), is a phase in which the results of target layer effect measurement 604 are used to correct and determine advertising slots for optimal advertisements and program advertisements for specific layers.
For example, if the target layer effect measurement 604 reveals that the target layer measures 603 are highly effective in a plurality of target layers, the most effective target layer will receive the most suitable advertisement or program advertisement frame. can be modified to do

As described above, the flow of visualizing the viewing history group A from various viewpoints can visualize the viewing history group A by a simple method in the target layer analysis of Step 2. The broadcasting station 140, the program production company, or the like that broadcasts the program to the television receiver 140 can intuitively understand the visualized data, and can determine the specific contents of the target layer measure 603. easier to decide.

For example, it is effective when considering which program and which timing of the advertisement frame to place a certain advertisement, or which program should be placed after which program A and B should be placed when organizing programs.
In addition, since it is possible to easily measure the effect of the target group, which is Step 4, using the analysis method performed in the target group analysis 602, which is Step 2, the specifics of the target group measures, which are Step 3 (Round 2) It is also possible to take appropriate countermeasures quickly.

Next, specific analysis contents in the target group analysis 602, which is Step 2, will be described.
FIG. 7 is a diagram showing a specific example of the analysis method in the target group analysis 602. As shown in FIG.
The vertical axis represents the participating singers of a song program A broadcast by a certain broadcasting station A (broadcast time from 7:30 pm to 11:15 pm in 2017). Also, the vertical axis includes singers who participated in song program B that was broadcast at the same time (broadcast time from 7:30 pm to 11:15 pm in 2017) broadcasted by station B other than station A. there is

The horizontal axis represents regions. Nationwide represents all regions. Iwate represents Iwate Prefecture, Kanto represents the Kanto region, Toyama represents Toyama Prefecture, and Chukyo represents the Chukyo region.
The numbers in the table are obtained by ranking the viewing rate of the users of the television receiver 140 viewing the participating singers listed on the vertical axis for each region on the horizontal axis. The example of FIG. 7 is an example in which the participating singers are arranged on the vertical axis so that the audience rating of the region=nationwide is in ascending order.

Here, the viewing history of the real viewing in the area (=the whole country) is the viewing history group A described with reference to FIG. 5A. On the other hand, the example of FIG. 7 visualizes the data of the viewing history group A by using the parameter of region, based on the regional difference.
In the case of a song program, if a nationally popular singer participates, a singer who participates as a star in a certain region may also participate. By arranging the audience rating of various participating singers in a list divided by country and region, it is possible to discover the peculiarities of each region.

Also, in the example of FIG. 7, not the audience rating itself but the ranking of the audience rating is displayed. By using the ranking of the viewing rate instead of the viewing rate itself, the bias in the number of viewing histories in the viewing history group A for each region can be leveled.
FIG. 8 is a diagram showing another specific example of the analysis method in the target group analysis 602. As shown in FIG.

The vertical axis represents the viewing rate of a specific program B. FIG. The viewing ratio is obtained by dividing the number of television receivers 140 that viewed the corresponding program by the total number of television receivers 140 in viewing history group A. FIG. In the example of FIG. 8, the number of television receivers 140 viewing a specific program B is divided by the total number of television receivers 140 in viewing history group A. In the example of FIG.

The horizontal axis represents the elapsed time of program B. FIG.
Each line in the figure shows the relationship between the program elapsed time and the viewing rate for each viewing mode of program B. FIG.
"Real" in the figure represents the case where program B is viewed in real time. Reproduction and reproduction (total number of times) in the figure represent the case where program B is reproduced and viewed, but reproduction is the case where even if program B is reproduced multiple times, the number of times of reproduction and viewing is counted as one. . Therefore, the number of playback views matches the number of television receivers 140 that have played back.

On the other hand, "playback (total number of times)" indicates the total number of times program B has been played back and viewed. Therefore, when the same part or different part of the program B is reproduced a plurality of times, the reproduction (total number of times) is equal to the number of times of reproduction.
Here, the viewing history including the real viewing and playback viewing of the program B is the viewing history group A described with reference to FIG. 5A. On the other hand, the data of the viewing history group A is divided into viewing history group A by further classifying the viewing mode parameters such as real viewing and playback viewing, and considering the total number of playback times for playback viewing, and calculating the respective viewing ratios. The example in FIG. 8 is visualized by the difference in morphology.

In the case of a popular program, many users review the recorded program many times. By comparing the number of playbacks (cumulative number), for example, with the viewing ratio of real viewing, it is possible to extract the user's reputation for the scene of the program, which can often be used for future program creation.
FIG. 9 is a diagram showing another specific example of the analysis method in the target group analysis 602. As shown in FIG.

The vertical axis represents the total number of television receivers 140 that have played back and viewed the specific program B. FIG.
The horizontal axis represents the elapsed time of program B. FIG.
Each line in the drawing shows the relationship between the program elapsed time for each viewing count (playback count) and the total number of television receivers 140 when program B is played back and viewed.

Here, the viewing history of playback viewing of the program B is the viewing history group A described with reference to FIG. 5A. On the other hand, the data of the viewing history group A is further visualized by the difference in the number of playback times in playback viewing, using the parameter of the number of playback viewing times, in the example of FIG. 9 .
As in the example of FIG. 8, in the case of a popular program, many users review the recorded program many times. By visualizing such a distribution of the number of times played (total number), it is possible to extract the user's opinion of the scenes of the program, and in many cases this can be used for future program creation.

FIG. 10 is a diagram showing another specific example of the analysis method in the target stratum analysis 602. As shown in FIG.
The vertical axis represents the total number of television receivers 140 that viewed or played back the specific program B. FIG.
The horizontal axis represents the number of episodes of program B (also referred to as broadcast episodes or broadcast episodes). It is assumed that program B is composed of the first to twelfth episodes. Each episode from episode 1 to episode 12 constituting program B will be called a unit program of program B. As shown in FIG.

The bar graph in the figure shows the light group who watched only episodes 1 to 3 (only the first 3 episodes were watched) and the light group who watched only episodes 4 to 8 (only the middle part). (watched), light group who watched only episodes 9 to 12 (final episode) (watched only the last 4 episodes), watched episodes 1 to 3, and watched any of the episodes 4 onwards It represents the total number of television receivers 140 that have viewed real or reproduced episodes for each royal layer (viewed for a certain number of episodes or more). In this way, the bar graph in the figure defines an aggregate from combinations of arbitrary numbers of episodes, and represents the total number of television receivers 140 that have viewed or viewed in real or reproduced in each aggregate.

Here, the viewing history of the real viewing or playback viewing of the program B is the viewing history group A described with reference to FIG. 5A. On the other hand, the data of the viewing history group A is further classified by the parameter of the combination of the number of episodes that have been viewed or played back, and the data of the viewing history group A is visualized by the difference in the aggregate number of episodes, as shown in FIG. For example.

In the case of real viewing or playback viewing, the reputation of a program may appear clearly in the viewing history trend. By visualizing such a change in the number of times of real viewing or playback viewing according to the number of episodes, it is possible to extract the user's reputation for the scene of the program, which can often be used for future program creation.

FIG. 11 is a diagram showing another specific example of the analysis method in the target stratum analysis 602. As shown in FIG.
The vertical axis represents the total number of television receivers 140 that have played back and viewed the specific program B. FIG.
The horizontal axis is the elapsed time from the broadcast of the program B to the playback viewing.

Each line in the drawing indicates the relationship between the elapsed time for each unit program constituting program B and the total number of television receivers 140 . It is assumed that program B is composed of first, second, and third episodes.
Here, the viewing history of playback viewing of the program B is the viewing history group A described with reference to FIG. 5A. On the other hand, the example in FIG. 11 is obtained by visualizing the data of the viewing history group A by using the parameter of the number of episodes of the unit program and visualizing the difference in the number of episodes in playback viewing.

In the case of a popular program, it is assumed that many users will replay and watch the program not long after the program has been broadcast. For this reason, by visualizing the number of playback views for each episode using the elapsed time from the program broadcast, it is possible to extract the parts of the program that have been particularly well received by users and the parts that have been evaluated for a long time. In many cases, it is possible to evaluate the expected value of the program.

FIG. 12 is a diagram showing another specific example of the analysis method in the target stratum analysis 602. As shown in FIG.
FIG. 12A is intended for viewing histories of users who have viewed a specific program C. FIG.
FIG. 12B targets the viewing history of the user of the television receiver 140 in a specific area.

The vertical axes of FIGS. 12A and 12B represent the time slot of a certain channel A program. One square time zone in the graph in the figure is the broadcasting time zone of one program.
The horizontal axes of FIGS. 12A and 12B represent dates.
The graphs of FIGS. 12A and 12B show the number of broadcast signal receivers 140 that are actually viewing a program in the broadcast time period, divided by certain number intervals, and arranged by date. be.

The graph of FIG. 12A shows the number of broadcast signal receivers 140 on which the users who viewed the specific program C actually viewed channel A using the broadcast signal receivers 140 . Similarly, the graph of FIG. 12(B) shows the number of broadcast signal receivers 140 from which users who viewed television receivers 140 in a specific area actually viewed channel A using the broadcast signal receivers 140 .

In this case, the viewing history group to be analyzed by the analysis unit 123 is the viewing history group A1 of the user who has viewed the specific program C and the viewing history group of the user who is viewing the television receiver 140 in the specific region. There are two viewing histories of A2. In this way, the analysis unit 123 can also define multiple viewing history groups and visualize data from these multiple viewing history groups.

In the example of FIG. 12, the graph of FIG. 12(C) is the broadcast signal receiving device 140 being viewed in real time indicated by the graph of FIG. 12(A) and the broadcast being viewed in real time indicated by the graph of FIG. A difference from the signal receiving device 140 is shown. By doing so, it becomes possible to extract the feature points that are different between the viewing history groups A1 and A2, and it becomes possible to perform effective advertisements and program promotions for each viewing history group.

Target group discovery 601 in Step 1 for narrowing down all users to a certain specific user group may be repeated in cooperation with target group analysis 602 in Step 2 to narrow down more desirable users.
FIG. 13A is a diagram showing an example of narrowing down more desirable users by repeating step 1 target discovery 601 for narrowing down all users to a certain specific user group in cooperation with step 2 target group analysis 602 .

As a specific example of repeatedly performing the discovery of the target group discovery 601 in Step 1 in cooperation with the target group analysis 602 of Step 2, there is an example of visualizing the viewing pattern of a series program.
The viewing pattern of a series program is a combination of viewing/not viewing each time with respect to the total number of times of the series program. The number of viewing patterns is theoretically 2 to the 12th power in the case of a series program consisting of, for example, 12 episodes.

Determination of "viewed" is, for example, if a program is viewed even for a short period of time (if there is even a small amount of real viewing history), regardless of the length of time of the real viewing history, it is determined as "viewed". Alternatively, if the real viewing history time exists for a certain threshold time or more, it may be regarded as "viewed", or the viewing history time obtained by adding the playback viewing history time to the real viewing history time is If it exists for more than a certain threshold time, it may be "viewed", and when adding the playback viewing history time, the cumulative playback viewing time including the case where the same part of the program is played multiple times is reproduced. If the viewing time is set as viewing time, or if the same part is played back multiple times, only the first playback viewing time is set as the playback viewing time, either playback viewing time is added to the real viewing history time. Therefore, if the content exists for a certain threshold time or longer, it may be determined that the content has been “viewed”.

The example of visualization shown in FIG. 13A is a parameter setting area 1301 for setting parameters for narrowing down all users to specific users, and the result of narrowing down and visualizing the viewing histories collected by the collection unit 122 using the parameters set in the parameter setting area 1301. result display area (1) 1302, result display area (2) 1303, and device number display area ( 1) 1304, including a device number display area (2) 1305;

A parameter setting area 1301 is an area displaying parameters set for target layer discovery 601 in Step 1 for narrowing down all users to a specific user layer.
The parameter setting area 1301 includes a set 1301-1 for setting demographics, the number of devices 1301-2 for setting the upper limit of the number of devices belonging to each viewing pattern, and the broadcast times (broadcast talks) "viewed" in the viewing pattern. View count 1301-3 that sets the

As for the types of demographics indicated by the set 1301-1, the entire area indicates the entire television receiver 140 for which the collection unit 122 can collect viewing histories, and the whole family indicates the collection unit 122 collects viewing histories or display histories. Of the television receivers 140 that can be collected, the television receivers 140 for which "used by everyone" was selected in a questionnaire conducted at the time of initial setting of the television receivers 140. Among the television receivers 140 capable of collecting the viewing history or display history, the television receivers 140 for which "used by one person/mainly used by one person" was selected in a questionnaire conducted at the time of initial setting of the television receiver 140. showing.

Further, when the type of demographics is for all individuals, the types of demographics are defined in more detail by age/gender. The selected television receivers 140 are shown, M1 is the television receiver 140 whose sex is male and age is 20 to 34 years old, and M2 is male whose sex is male and age is selected. 35 to 49 years of age are selected for the television receiver 140, M3 is the television receiver 140 for which the sex is male and the age is 50 to 64, and M4 is Shows the television receiver 140 in which the sex is male and the age from 65 to 99 is selected, and F1 shows the television receiver 140 in which the sex is female and the age from 20 to 34 is selected. F2 indicates the television receiving device 140 in which the sex is female and the age from 35 to 49 is selected, and F3 is the television in which the sex is female and the age from 50 to 64 is selected. F4 indicates the television receiver 140 for which gender is female and age is 65 to 99 years old. Also, MA indicates the sum of M1 to M4, and FA indicates the sum of F1 to F4.

The demographic type is alternatively selected by selecting any one radio button 1301-4. When a radio button is selected, viewing patterns narrowed down to demographic types corresponding to the radio button are displayed in result display area (1) 1302 and result display area (2) 1303 .

Multiple viewing counts 1301-3 can be selected by checking check boxes. For example, if the check box "all" is selected, all viewing patterns including at least one broadcast episode (broadcast episode) determined to be "viewed" in all broadcast episodes (broadcast episodes) of the series program will be displayed as a result. Displayed in area (1) 1302 and result display area (2) 1303 . Also, for example, if the check box "1" is removed and "2" to "12" are selected, at least the number of episodes judged to have been "viewed" from episodes 2 (episodes 2) to 12 (episodes 12) of the series program. All viewing patterns including one are displayed in result display area (1) 1302 and result display area (2) 1303 .

Result display area (1) 1302 displays the ratio of the number of broadcast signal receivers 140 (the number of devices) having a viewing history of the viewing pattern narrowed down based on the conditions set in the condition display area to the total number of devices. They are arranged in descending order. The horizontal axis is the broadcast times (broadcast episodes) of the series program. 1302-1 represents the broadcast times (broadcast episodes) of the series program. The part corresponding to the broadcast times (broadcast episodes) determined to be "viewed" may be visualized by colors or patterns depending on the level of viewing volume.

For example, the area surrounded by 1302-2 indicates a viewing pattern in which it is determined that only 5 episodes of the broadcast episodes of the series program have been "viewed". The area surrounded by 1302-3 shows the ratio of the number of broadcast signal receiving apparatuses 140 (the number of devices) having the viewing history of the viewing pattern of the area surrounded by 1302-2 and the corresponding number of devices. This percentage may be referred to as viewing volume. The total number of devices is the total number of broadcast signal receivers 140 managed by the identification management section 121 .

The result display area (2) 1303 shows the number of corresponding devices for each broadcast episode (broadcast episode) of the series program. The vertical axis indicates the number of devices, and the horizontal axis indicates the broadcast times (broadcast talks).
FIG. 13A is an example in which "all" is selected for the viewing count 1301-3. On the other hand, FIG. 13B is an example in which "1" of the viewing count 1301-3 is excluded from the selection.

FIG. 13B is a diagram showing an example of selecting "2" to "12" in the viewing count 1301-3. By doing so, all viewing patterns including at least one broadcast episode (broadcast episode) determined to be “viewed” in the second episode (2 episodes) to 12 episodes (12 episodes) of the series program are displayed as a result. It is displayed in area (1) 1302 . On the other hand, FIG. 13C is an example in which "2" of the viewing count 1301-3 is further removed from the selection.

FIG. 13C is a diagram showing an example of selecting "3" to "12" in the number of views 1301-3. By doing so, all the viewing patterns including at least one broadcast episode (broadcast episode) judged to have been “watched” in the 3 episodes (3 episodes) to 12 episodes (12 episodes) of the series program are displayed as a result. It is displayed in area (1) 1302 . On the other hand, FIG. 13D is an example in which "3" of the viewing count 1301-3 is further removed from the selection.

FIG. 13D is a diagram showing an example of selecting "4" to "12" in the viewing count 1301-3. By doing so, all viewing patterns including at least one broadcast episode (broadcast episode) determined to be “watched” from 4 episodes (4 episodes) to 12 episodes (12 episodes) of the series program are displayed in the result display area. (1) Displayed in 1302.

By selecting the viewing count 1301-3 in this way, the analysis unit 123 extracts the demographic type specified in the set 1301-1 and the number of devices specified in the device count 1301-2 from the enormous viewing history collected by the collection unit 122. The viewing history is narrowed down according to the upper limit of the number of devices and the number of broadcasts (broadcast talks) specified in the number of views 1301-3. The service providing unit 124 visualizes the narrowed-down viewing history and displays the result in the result display area (1) 1302 and the result display area (2) 1303 . In addition, the number of corresponding devices and data of the number of times of viewing may be displayed in the number of devices display area (1) 1304 and the number of devices display area (2) 1305 .

Looking at how the contents visualized in the result display area (1) 1302 from FIG. 13A to FIG. can be confirmed.
For example, in the case of FIG. 13A, there is no trend in viewing patterns. In other words, the distribution of broadcast episodes (broadcast episodes) that were “viewed” (broadcast episodes (broadcast episodes) with patterns and shades show no tendency. However, in the case of FIGS. 13C and 13D, Distribution of broadcast episodes (broadcast episodes) of "watched" (a trend can be seen in broadcast episodes (broadcast episodes) with patterns and shading. The trend is shown in the latter half of the series program). The ratio of the number of devices with a viewing history of the viewing pattern being viewed ranks high.The number of devices with a viewing history of the viewing pattern displayed in the result display area (1) 1302 in FIG. As for the ratio, the top 10 included in the area indicated by 1302-3 have a pattern in which the viewing volume of the latter half of the broadcast episodes (broadcast episodes) of the entire series program is high.

In other words, in the case of the narrowing conditions set in FIG. 13A, the user group (which may be called an error set) that becomes an error in grasping the tendency is included, but the narrowing down conditions set in FIGS. 13C and 13D A condition can be said to be a set of user strata from which this error set has been removed. Therefore, in the examples of FIGS. 13A, 13B, 13C, and 13D, the narrowing-down conditions of FIGS. 13C and 13D can be said to narrow down to desirable users. A result narrowed down to desirable users may be called a desirable set.

As described above, the viewing history analysis apparatus of the present embodiment, as in the examples of FIGS. 13A to 13D, narrows down the user base and thereby visualizes the viewing amount for each broadcast episode (broadcast episode) of a series program. By repeating the target group analysis, more desirable users can be easily narrowed down. Moreover, based on the result of narrowing down the desired users (desired set), it is also possible to further proceed with target layer analysis (set analysis) of the narrowed down users (desired set).

In the examples of FIGS. 13A, 13B, 13C, and 13D, there is one result display area (1) 1302, but the present invention is not limited to this. For example, although the set 1301-1 of demogram types is one-choice, it may be possible to select a plurality of demograms, and the viewing patterns for each of the selected demograms may be displayed side by side in the result display area (1) 1302. FIG. By displaying the viewing patterns for each of a plurality of demograms side by side in the result display area (1) 1302 in this way, it is possible to easily confirm the difference in viewing pattern tendencies due to the difference in demograms.

Similarly, in the result display area (1) 1302, the visualization results of the viewing patterns of different series programs may be displayed side by side.
As described above, the viewing history analysis apparatus of the present embodiment can easily and repeatedly find a target group in cooperation with the target group analysis, thereby making it possible to find a more desirable target group.

By selecting a plurality of the number of units, the ratio of the number of units, and the cumulative ratio of the number of units for each viewing count displayed in the display area 1305, it is possible to display the contents of the selected range, for example, the total value of the items, in a pop-up display 1306. .
FIG. 13E is a diagram showing an example of popup display when a plurality of contents displayed in the display area 1305 are selected. FIG. 14A is another example of narrowing down more desirable users by repeatedly performing target discovery 601 of Step 1, which narrows down all users to a certain specific user group, in cooperation with target group analysis 602 of Step 2, as in FIG. 13A. It is a figure which shows.

As a specific example in which the discovery of the target group discovery 601 in Step 1 cooperates with the target group analysis 602 in Step 2, the viewing history of any channel including this specific channel is visualized based on the user's viewing history of a specific channel. This is an example of Assume that △△ synthesis is specified as the specific channel.

The visualization example shown in FIG. 14A includes a parameter setting area 1401 displaying conditions for narrowing down all users, and a result display area 1402 displaying the results narrowed down in the parameter setting area 1401 .
A parameter setting area 1401 is an area displaying conditions to be set for target layer discovery 601 in Step 1 for narrowing down all users to a specific user layer.

The parameter setting area 1401 includes a date 1401-1 for setting the date on which the program of the channel to be compared with the specific channel was broadcast, and a channel 1401-2 for setting the channel.
In the result display area (1) 1402, the horizontal axis indicates the cumulative viewing time of viewing a specific channel for a certain period of time. The fixed period may be, for example, one year, one month, or one week. The vertical axis represents the time of the program frame of the channel selected in channel 1401-2. In the table, the user corresponding to the cumulative viewing time of the specific program shown on the horizontal axis watched the program during the program frame time of the channel set on the date 1401-1 and channel 1401-2 shown on the vertical axis. Shows viewership. The corresponding portion may be colored or patterned according to the level of the viewing amount, and the level of the viewing amount may be visualized.

For example, the area 1402-1 indicates that the program has a higher viewing volume than other programs, regardless of the cumulative viewing time of the △△ comprehensive channel on the horizontal axis. As in the case of FIG. 13A, the viewing amount may include not only the viewing amount of real viewing but also the viewing amount of playback viewing.

Thus, in FIG. 14A, the program shown in the area 1402-1 is a group of users who frequently watch △△ general channels (also called fan base), which are users with a long accumulated viewing time of △△ general channels. It is a program (a program with a high viewing volume) that is often viewed by both users who have a short cumulative viewing time and users who do not watch the general channel (can be called non-fans). This is a visualized example. Such a program can be said to be a “strong program” that attracts a large number of viewers on the △△ general channel.

In this way, the viewing history analysis apparatus of the present embodiment can visualize "strong programs" that attract a large number of viewers among the programs of its own station, and can narrow down users who are viewing these "strong programs". is possible.
FIG. 14B is a diagram showing an example in which the date set in the date 1401-1 is changed from that of FIG. 14A. As shown in the example of FIG. 14B, the distribution of programs with high ratings shown in results display area 1402 is different from the distribution of programs with high ratings shown in the example of FIG. 14A. Depending on the date set in the date 1401-1, the distribution of programs with high ratings may not be seen. Therefore, by repeatedly setting dates in the date 1401-1, it is necessary to search for dates on which the distribution of programs with high ratings can be seen. Since the audience rating distribution is displayed in the result display area 1402, it is possible to find a date on which a program with a high audience rating exists by a very simple operation.

Also, in the example of FIG. 14B, for example, programs shown in area 1402-2 are programs with high audience ratings, but as shown in area 1402-21 included therein, non-fans of △△ general It shows that it is a program with a particularly high audience rating.
As described above, the viewing history analysis apparatus of the present embodiment not only visualizes programs with high viewership ratings, but also visualizes which types of users, such as fans and non-fans, view programs with high viewership ratings. It is possible to visualize it so that you can see at a glance whether it is

FIG. 14C is a diagram showing an example in which the channel set as the channel 1401-2 is changed from that of FIG. 14A. The horizontal axis is the cumulative viewing time of watching the △△ general channel for a certain period of time. On the other hand, unlike FIGS. 14A and 14B, the vertical axis represents the program frame time of the TV sunset channel set to channel 1401-2, which is different from the △△ general channel. In this case, for example, the program shown in the area 1402-3 is viewed by users including fans and non-fans of △△ synthesis on the TV sunset channel, which is a channel of another station other than the channel of △△ synthesis. A program with a high viewing volume is shown among the programs. In this way, identifying users who are watching ``strong programs'' of other stations among users including fans and non-fans of △△ synthesis is a way to operate the △△ synthesis channel. It is very meaningful for businesses. In other words, it can be said that the narrowing down of the users viewing the program shown in the area 1402-3 of FIG. 14C is narrowing down to the desired users.

FIG. 14D is a diagram showing an example in which the channel set to channel 1401-2 is changed from FIG. 14C. The horizontal axis is the cumulative viewing time of watching the △△ general channel for a certain period of time. On the other hand, unlike FIGS. 14A and 14B, the vertical axis represents the time of the program frame of the Fuchi TV channel set to channel 1401-2, which is different from the ΔΔ general channel. In this case, for example, the program shown in area 1402-4 is similar to FIG. Shows the programs with the highest value among the programs viewed in .

Here, the program shown in area 1402-3 of FIG. 14C is a program with a high viewing volume. This indicates that the program is a high-value program.
On the other hand, the program shown in area 1402-4 in FIG. 14D is a program with a high viewing volume. This indicates that the program is a high-value program.

As described above, the viewing history analysis apparatus of the present embodiment can be used to determine which programs of other stations are frequently viewed by fans of the own station, or which are frequently viewed by non-fans of the own station. can be visualized, it is possible to further analyze the fan base/non-fan base of the own station by analyzing what kind of programs of other stations are being viewed.

In this way, by repeatedly selecting a channel different from the △△ comprehensive channel using date 1401-1 and channel 1401-2, it is possible to identify users who are watching "strong programs" of other stations. becomes.
As described above, the viewing history analysis apparatus of this embodiment, as in the examples of FIGS. Repeated analysis makes it easy to narrow down to more desirable user groups. Moreover, based on the result of narrowing down the desired users (desired set), it is also possible to further proceed with target layer analysis (set analysis) of the narrowed down users (desired set).

In the examples of FIGS. 14A, 14B, 14C, and 14D, there is one result display area 1402, but it is not limited to this. For example, channel 1401-2 is optional, but multiple selection is possible, and for each of the multiple selected channels, how users, including general fans and non-fans, viewed it. It is the figure which visualized. It is also possible to select a channel other than △△ synthesis as a specific channel.

As described above, the viewing history analysis apparatus of the present embodiment targets a target group by extracting programs that are particularly frequently viewed in its own station/other stations based on users including fans and non-fans of a certain channel. Since it can be easily performed in conjunction with stratification analysis, it is possible to easily grasp the strengths and weaknesses of programs on each channel.

FIG. 15 is a diagram showing an example of the result of analyzing the viewing history of the user who has viewed the series programs shown in FIGS. 13A, 13B, 13C, 13D, and 13E using broadcast episodes (broadcast episodes) and demograms. is.
A result display area (1) 1501 shows the transition state of the number of devices having a viewing history for each broadcast episode (broadcast episode). Among the number of devices, the number of times each broadcast episode (broadcast story) was viewed is divided into four groups with a certain width, and the groups are defined as core (C), middle (M), light (L), and closeout (Q) from the top.

In the graph displayed in area 1501-1, the horizontal axis indicates broadcast times (broadcast episodes) and the vertical axis indicates the number of devices. The displayed graph is an example in which the number of devices is divided into the number of devices belonging to each group of core (C), middle (M), light (L), and closeout (Q).

In the graph displayed in area 1501-2, the horizontal axis indicates the number of devices having viewing history of each broadcast episode (broadcast episode), and the vertical axis indicates core (C) and middle (M). , light (L), and closeout (Q).
The graph displayed in the result display area 1502(2) is an example in which devices belonging to core (C), middle (M), light (L), and closeout (Q) are displayed for each demographer 1502-2.

Here, the use of the broadcast signal receiving device 140 differs greatly depending on whether the broadcast signal receiving device 140 is used for viewing by one person or for viewing by a family. .
Therefore, the viewing history analysis apparatus of the present embodiment may collect information such as personal use and family use as usage applications of the broadcast signal receiving apparatus 140 when the broadcast signal receiving apparatus 140 is initialized. As a result, the service providing unit 124 may display so that family use or personal use can be selected as the purpose of use, as indicated by 1502-1.

By adding such a use purpose of family use, it is possible to add a new analysis perspective, such as analyzing the ratio of female/male demographics, for example, when the use purpose is family use. Become. In other words, within the framework of family use, it is also possible to analyze what kind of demographic viewers tend to be, for example, by looking at changes in the proportion of women or changes in the proportion of men. It becomes possible.

The graph displayed in the result display area 1503 (3) displays devices belonging to core (C), middle (M), light (L), and closeout (Q) for each broadcast episode (broadcast episode) of the series program. This is an example of
As described above, the viewing history analysis apparatus of the present embodiment can have a plurality of conditions for displaying in the result display area, thereby making it possible to visualize the viewing history from various viewpoints.

FIG. 16 shows an example of visualizing the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. It is a diagram.
In the parameter setting area 1601, an output ranking order type 1601-1 for selecting which type of viewing amount is included in the viewing amount displayed in the result display area 1602, and an object to be set as the first set to be compared. A set (left) 1601-2, a target set (right) 1601-3 for setting the second set to be compared, and a target set (left) and a target set (right). Broadcast time 1601-4 set by year/quarter, date 1601-5 set by date, and channel 1601 set to filter program names displayed in result display area 1602 by channel. -7, includes 1601-8 set to narrow down the program names displayed in the result display area 1602 by genre, and the day of the week 160-9 set to narrow down the program names displayed in the result display area 1602 by day of the week.

The result display area 1602 lists what programs the target users of the target set (left) 1601-2, which is the target set, viewed under the conditions set in the parameter setting area 1601. be. 1602-1 indicates the program names viewed by the target set (left) 1601-2. 1602-2 shows the broadcast start time, channel, and genre, which are attributes of the program name of 1602-1. 1602-3 shows the viewing amount of each program indicated by 1602-1 of the target group (left) 1601-2 of the target users of the program indicated by 1602-1, and the target group (right) 1601-3. 1602-1 indicates the difference from the viewing amount of each program indicated by 1602-1 for the target user.

In this way, by comparing the viewing volume of a program watched by a target group of users for a certain period of time with the viewing volume of another group of users who have watched the same program, and obtaining a difference, the characteristics of the target group of users can be determined. Visualization is possible. Here, the genre of 1602-2 can be arbitrarily selected from not only animation but also news programs, documentaries, dramas, movies, and the like. By changing the genre in this way, it is assumed that the appearance of the difference in viewing amount displayed in 1602-3 will change. By analyzing this state of change, it is possible to grasp the characteristics of the target set of users.

There are other ways to visualize the viewing behavior of a target set of users over time.
FIG. 17A shows another example of visualizing the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. It is a diagram showing.

The visualization example shown in FIG. 17A includes a parameter setting area 1701 displaying conditions for narrowing down all users, and a result display area 1702 displaying the results narrowed down in the parameter setting area 1401 .
In the parameter setting area 1701, a quarter 1701-1 for setting the period to be visualized, a set (left) 1701-2 for setting the first set to be compared, and the second set to be compared are set. It includes a target set (right) 1701-3, a viewing method 1701-4 for setting a viewing method, a day of the week 1701-5 for specifying a day of the week, and a channel 1701-6 for specifying a channel.

Three results are displayed in the result display area 1702 according to the parameters set in the parameter setting area.
1702-1 visualizes the viewing volume distribution in the period indicated by the quarter 1701-1 in the viewing history set set in the target set (left) 1701-2. The vertical axis is time, the horizontal axis is the channel name, and the average viewing volume for a certain period of time is calculated by dividing the time direction of the vertical axis into fixed units of time, such as 1 hour or 30 minutes. visualized.

1702-2 visualizes the viewing volume distribution in the period indicated by the quarter 1701-1 in the viewing history set set in the target set (right) 1701-3. The vertical axis represents time, and the horizontal axis represents channel names.
1702-3 is the difference between the viewing volume distribution of 1702-1 and the viewing volume distribution of 1702-2. In this way, rather than simply looking at the viewing amount as an absolute value, by preparing a reference set and visualizing the difference from the viewing amount of the reference set, the characteristics of the set to be compared can be visualized. Points can be visualized.

FIG. 17B, similar to FIG. 17A, visualizes the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. FIG. 11 is a diagram showing another example;
FIG. 17B includes a parameter setting area 1701 displaying conditions for narrowing down all users and a result display area 1702 displaying results narrowed down in the parameter setting area 1401, as in FIG. 17A.

Three results are displayed in the result display area 1702 according to the parameters set in the parameter setting area.
FIG. 17B differs from the case of FIG. 17A in that the horizontal axis of the diagram displayed in the result display area is in units of days of the week. Other settings are the same as 17A.

FIG. 17C, similar to FIG. 17A, visualizes the characteristics of target users by comparing the viewing behavior of a group of target users for a certain period of time with the viewing behavior of other groups and seeing the difference in the amount of viewing. FIG. 11 is a diagram showing another example;
In FIG. 17C, the horizontal axis is the channel name, similar to FIG. 17A, displayed in the result display area. The numbers in the table represent the amount of viewing.

Here, a target set (left) 1701-2 and a target set (right) 1701-3 shown in FIG. A combination of sets where is a characteristic set and the other is a general set is preferable. By doing so, it is possible to relatively see the characteristic set from the viewpoint of the general set, so that the feature points of the characteristic set can be grasped more accurately.

In addition to the above example, for a certain viewing history group A, for example, for each specific channel, the viewing amount for each specific period is obtained, and by finding a specific period in which the viewing amount is significantly different from other specific periods, It is possible to extract the fan base of the channel. Alternatively, in a plurality of viewing history groups, it is also possible to visualize differences in viewing history groups by aggregating indices of other factors such as gender/age composition ratios and regional characteristics.

While several embodiments of the invention have been described, these embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof. Furthermore, in each constituent element of the claims, even if the constituent element is divided and expressed, a plurality of constituent elements are expressed together, or a combination of these is expressed, it is within the scope of the present invention. Moreover, a plurality of embodiments may be combined, and examples configured by such combinations are also within the scope of the invention.

In addition, in this specification and each figure, the same reference numerals are given to components that exhibit the same or similar functions as those described above with respect to the previous figures, and redundant detailed description may be omitted as appropriate. . In addition, when the claims are expressed as control logic, when expressed as a program including instructions for executing a computer, and when expressed as a computer-readable recording medium in which the instructions are written, the apparatus of the present invention is applied. be. Also, the names and terms used are not limited, and other expressions are included in the present invention as long as they have substantially the same content and the same meaning.

100 Broadcast signal transmitting device 101 Broadcasting station server 102 First basic function 120 Server 121 Identification management unit 122 Collection unit 123. Analyzing unit 124 Service providing unit 130 Viewing history device 140 Broadcast signal receiving device

Claims (12)

Acquiring and analyzing a viewing history, which is a history of viewing a broadcast program of a user of a broadcast wave receiving device that receives a broadcast program transmitted by a broadcast wave, together with an identification number that individually identifies the broadcast wave receiving device. an analysis unit;
a service providing unit that provides a service based on the analysis result of the analysis unit;
and
The analysis unit analyzes the viewing history of the first section, which is a predetermined section, of the broadcast wave receiving device having the first identification number, which is the predetermined identification number, in the acquired viewing history. Analyzing a certain first viewing history,
Further, the service providing unit calculates, among the first viewing histories, the ratio of the second viewing history in the first broadcast program according to the first rule to the viewing history, out of the columns in which the first broadcast programs are arranged in the order in which they were broadcast. , further, displaying only the column containing only the first broadcast program according to the second rule; or at least one of the ratio of the fourth viewing history of the fourth program of the fourth channel to the viewing history, and the cumulative viewing time that is the accumulation of the viewing time of the third channel in a specific period and are displayed in association with each other. 2. The viewing history analysis apparatus according to claim 1, wherein said analysis unit selects said predetermined first identification number at arbitrary timing. 2. The viewing history analysis according to claim 1, wherein the analyzing unit analyzes the first viewing history using time information of the viewing history included in the first viewing history, which is a first parameter, and a second parameter. Device. 4. The viewing history analysis device according to claim 3, wherein said second parameter is an area where said broadcast wave receiving device is located. 4. The viewing history analysis apparatus according to claim 3, wherein said second parameter includes at least one of presence/absence of real viewing of said broadcast program, presence/absence of playback viewing of said broadcast program, and number of said playback viewing. 4. The viewing history analysis device according to claim 3, wherein said second parameter is an aggregate of arbitrary unit program combinations when said broadcast program is composed of a plurality of unit programs. 2. The viewing history analysis apparatus according to claim 1, wherein said analyzing unit analyzes using a second viewing history in which at least one of said first identification number and said first section of said first viewing history is different. 2. The viewing history analysis apparatus according to claim 1, wherein said first rule is that said first broadcast program is a series program or a season program. 9. The viewing history analysis apparatus according to claim 8, wherein said second rule is broadcast times in said series program or said season program. 2. The viewing history analysis device according to claim 1, wherein said specific period is one of one week, one month and one year. 2. The viewing history according to claim 1, wherein said service providing unit has an attribute of family as an attribute for classifying users of said broadcast wave receiving device, and displays a result of classifying said viewing history using said family attribute. Analysis equipment. Acquiring and acquiring a viewing history, which is a history of viewing the broadcast program, of a user of the broadcast wave receiving device that receives the broadcast program transmitted by the broadcast wave, together with an identification number that individually identifies the broadcast wave receiving device Analyze a first viewing history, which is the viewing history of a first section, which is a predetermined section, of the broadcast wave receiving device having the first identification number, which is the predetermined identification number, among the viewing histories. death,
A method of providing a service based on the results of the analysis,
Further , the provision of the service includes, among the first viewing histories, the ratio of the second viewing history in the first broadcast program according to the first rule to the viewing history, out of the columns arranged in the order in which the first broadcast program was broadcast. , further, displaying only the column containing only the first broadcast program according to the second rule, or providing the service , in the first viewing history, the third viewing history of the third program on the third channel. or at least one of the ratio of the fourth viewing history of the fourth program of the fourth channel to the viewing history, and the cumulative viewing time that is the accumulation of the viewing time of the third channel in a specific period is either displayed in association with
Viewing history analysis method.

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