JP7263211B2 - VIEWING HISTORY ANALYSIS DEVICE, VIEWING HISTORY ANALYSIS METHOD AND PROGRAM - Google Patents

Description

The embodiments relate to a viewing history analysis device, a viewing history analysis method, and a program.

In recent years, with the development of Internet technology, an increasing number of people are using video-on-demand (VOD) services on television devices. Therefore, the number of television devices connected to the Internet is also increasing.

In such an environment, it is possible to collect a huge amount of viewing data (sometimes referred to as a viewing log) from each TV set via the Internet and analyze viewing conditions such as viewer ratings. It's becoming

JP 2017-28353 A JP 2017-188932 A

The viewing data of each television device includes not only programs broadcast by broadcasters such as digital broadcasting, but also contents providers that can be viewed via the Internet, digital content service providers called Over The Top (OTT), etc. It contains information about programs and VOD services provided by . Specifically, information such as a service name and information identifying the service (hereinafter collectively referred to as service identification information) is included.

However, such information is not used effectively, and when it is used, it is subject to restrictions such as being required to conclude a contract that does not allow disclosure to a third party, so its use is not promoted.

The problem to be solved by the present invention is to provide a viewing history analysis device, a viewing history analysis method, and a program capable of analyzing the viewing status of digital content in consideration of the service identification information without specifying the service identification information of the digital content. intended to

A viewing history analysis device according to one embodiment includes data collection means and data analysis means, wherein the data collection means collects viewing equipment data including viewing history of digital content viewed by a receiving device, and analyzes the data. The means analyzes the audio-visual equipment data, the audio-visual equipment data includes the service identification information of the viewed digital content, and the data analysis means uses the service identification information and the service group into which the service identification information of the digital content is classified. , and analyze the audio-visual equipment data for each service group.

FIG. 1 is a diagram showing a configuration example of the entire system according to the embodiment. FIG. 2 is a block diagram illustrating an example of the functional configuration of the viewing device according to the embodiment; FIG. 3 is a block diagram illustrating an example of the functional configuration of the content transmission device according to the embodiment; FIG. 4 is a block diagram illustrating an example of the functional configuration of the data collection device according to the embodiment; FIG. 5 is a block diagram illustrating an example of the functional configuration of the data processing device according to the embodiment; 6A is a diagram illustrating an example of data generated by the viewing device according to the embodiment; FIG. 6B is a diagram illustrating an example of data of the data collection device according to the embodiment; FIG. FIG. 7 is a flowchart showing an example of processing operation of the data processing device for analyzing collected data in the first embodiment. FIG. 8 is a diagram showing an example of an analysis screen in the data processing device according to the first embodiment. FIG. 9 is a flow chart showing an example of processing operation of the data processing device for executing analysis in the first embodiment. FIG. 10 is a diagram showing an example of correspondence between categories for each service group, which is used by the data processing apparatus according to the first embodiment. FIG. 11 is a diagram showing an example of analysis results by the data processing device according to the first embodiment. FIG. 12 is a diagram showing an example of evaluation criteria used in analysis by the data processing device in the second embodiment. FIG. 13 is a display example of analysis results by the data processing apparatus according to the second embodiment. FIG. 14 is a diagram illustrating an example of a correspondence relationship between categories for each service group, which is used by the data processing device according to Modification 1. As illustrated in FIG.

Embodiments will be described below with reference to the drawings.

FIG. 1 is a diagram showing a configuration example of the entire system according to the embodiment.

The audio-visual devices 10A, 10B, and 10C (simply referred to as audio-visual devices 10 unless otherwise distinguished) are devices for viewing digital content, for example, digital broadcasting such as 2K or 4K/8K terrestrial broadcasting and satellite broadcasting. It is a television receiver (also referred to as a television device, television receiver, or broadcast signal receiver) that can be received and viewed. The viewing device 10 may also have a recording/playback function, and the digital content recorded by the viewing device 10 can be viewed by the recording/playback function. Also, by connecting a recording/reproducing device (not shown) to the viewing device 10, digital content recorded by the recording/reproducing device (not shown) may be viewed. Although three audiovisual devices 10A, 10B, and 10C are shown in FIG. 1, more audiovisual devices 10 may be connected. However, the viewing devices 10 do not need to have the same functions as long as they are devices capable of viewing digital content. Specifically, a recorder capable of only recording without a viewable monitor or a Set Top Box (STB) capable of receiving broadcast signals may be used. The audio-visual device 10, recorder, STB, etc. are collectively referred to as a receiving device. That is, "viewing" in this embodiment includes receiving, receiving, or recording digital content in a viewable state even if the user does not actually view it. Therefore, the "viewing history" in the present embodiment is, for example, a "receiving history" that is simply received by a receiving device such as an STB, but does not matter whether or not it is viewed, or if the receiving device is a recorder, , "recording history" received by the receiving device, recording reservation or recording, etc. are included. Similarly, the "viewing time" in the present embodiment includes, for example, the time when the receiving device such as STB receives the digital content, or when the receiving device is a recorder, the time when the digital content is recorded. .
In this embodiment, the audio-visual device 10 is particularly shown as an example, but the audio-visual device 10 may be replaced with a receiver such as a recorder or STB. Also, the viewing device 10 may be a mobile device such as a personal computer or a smart phone as a receiving device having a similar receiving function.

Furthermore, the viewing device 10 in the present embodiment includes an external interface for connecting to a network 50 such as the Internet, and can view digital content provided by a content server (server on the cloud) connected to the network. It is possible.

In addition, the viewing device 10 according to the present embodiment can collect and store a viewing history of digital content viewed by the viewing device 10 (hereinafter referred to as viewing data). In addition, data specific to the audio-visual device 10 (hereinafter referred to as device-specific data) can be stored. Viewing data and device-specific data are collectively referred to as viewing device data.

When the viewing device 10 is replaced with a receiving device such as a recorder or STB, reception log data generated by the receiving device such as the recorder or STB, download history data, recorded data, etc. are also included in the viewing device data.

The device-specific data may be registered in the audio-visual device 10 by the user using a remote control (not shown) of the audio-visual device 10 , or may be set by the manufacturer, such as the individual number of the audio-visual device 10 . The device-specific data includes, for example, the IP address and identification number of the audio-visual device 10, and demographic data (hereinafter referred to as demographic data) registered in advance by the owner or the like. Demographic data is data for classifying users who view the audiovisual device 10, and is information such as age, sex, family structure, and residential area of the users, for example. The identification number is a number, character string, or the like for identifying the audio-visual device 10, and is composed of, for example, a combination of numbers and alphabets.
The audio-visual device 10 can output stored data such as a viewing history from an external interface to an external data collection device via a network.

Content server devices 20A, 20B, and 20C (simply referred to as content server devices 20 unless otherwise specified) are content servers on a network or cloud that provide digital content. The content server device 20 is provided by, for example, a content service provider (CSP), a telecommunications carrier, or a digital content service provider called Over The Top (OTT). The content server device 20 also includes a server that provides services such as Video On Demand.

The data collection device 30 is a device that exists on a network or a cloud and collects and stores data held by the viewing device 10 (hereinafter referred to as viewing device data). For example, a computer having a CPU, memory, etc. is. The data collection device 30 may be a personal computer, or may be a cloud service using a server, database, or the like.

Further, the data collection device 30 can identify each viewing device 10 by the identification number that the viewing device 10 has individually.

The data processing device 40 is, for example, a computer having a CPU, a memory, etc., acquires audio-visual equipment data stored in the data collection device 30, and executes analysis according to conditions specified by the user.

The network 50 is a network in which the audio-visual equipment 10, the content server device 20, the data collection device 30, and the data processing device 40 are connected to enable communication between the devices, and is, for example, the Internet. Also, the network 50 is not limited to the Internet, and may be a network including a plurality of different networks as long as each device can communicate with each other.

FIG. 2 is a block diagram illustrating an example of the functional configuration of the viewing device according to the embodiment;

The viewing device 10 is a device for receiving and processing a signal on which digital content is superimposed to acquire and view digital content.

The broadcast signal reception processing unit 12 processes a broadcast signal such as a digital broadcast received from the antenna 11 according to the digital broadcast standard, and acquires and outputs content data such as video, audio, and text. Digital broadcasting standards include, for example, the MPEG2 TS system used in 2K digital broadcasting and the MPEG Media Transport system (MMT system) used in 4K/8K digital broadcasting. may correspond to Processing that conforms to digital broadcasting standards includes demultiplexing processing that separates a digital data stream into digital data streams of various contents, error correction code decoding processing, encryption decoding processing that decodes encrypted data, and each content It includes decoding processing for encoding (video encoding, audio encoding, character encoding, etc.) applied to data.

The communication unit 13 receives the digital data signal output by the content server device 20 via the network 50, and receives the digital data through reception processing according to a predetermined communication protocol such as TCP/IP or UDP/IP. Get and output.

The content processing unit 14 performs decoding processing for the encoding processing performed by the content server device 20 on the digital data output from the communication unit 13, and outputs content data such as video, audio, and characters. Specifically, the content processing unit 14 performs decoding processing such as demultiplexing processing (separation processing), error correction code decoding processing, and decoding of encoded content data (video, text, audio, etc.). processing, etc.

The display control unit 15 adjusts the output timing, the display method, etc. of the content data output by the broadcast signal reception processing unit 12 and the content processing unit 14, and outputs the data.

The display unit 16 is, for example, a monitor that displays images and characters, and a speaker that outputs audio. The display unit 16 outputs the content data output by the display control unit 15 as video, text, and audio. The user views the digital content provided by the broadcast signal and the content server device 20 by viewing the video, text, and audio output by the display unit 16 .

The interface unit 17 is an interface for controlling the audio-visual device 10 from the outside such as a remote controller. do. It may have an interface for receiving a control signal using a terminal such as a smartphone (not shown) instead of the remote controller. Also, the interface unit 17 may have an interface for connecting with an external device. For example, it may be an interface for connecting the viewing device 10 and an external HDD recorder.

The control unit 18 controls each function of the audio-visual device 10 . Specifically, the control unit 18 receives various control signals from the interface unit 17 and controls each function of the audio-visual device 10 . For example, when the user designates from a remote controller (not shown) whether to view content by a broadcast signal or to view content from the content server device 20, the control unit 18 receives control from the remote controller via the interface unit 17. It receives the signals and controls the functions of the audiovisual equipment 10 to cause it to take actions as specified by the user. In FIG. 2, data may also be exchanged with functional blocks that are not particularly connected to the control unit 18 .

The recording/reproducing unit 19 is, for example, a disc player or an HDD recorder, stores data output from the broadcast signal reception processing unit 12 and the content processing unit 14, reproduces the data according to a reproduction request, and outputs the content data to the display control unit 15. and output from the display unit 16 as video, text, and audio. The user views the digital content stored in the recording/playback unit 19 by viewing the video, text, and audio output by the display unit 16 . In the present embodiment, the recording/playback unit 19 is one function of the viewing device 10, but may be an external device via the interface unit 17, for example. Further, when the viewing device 10 includes a plurality of tuners (corresponding to the broadcast signal reception processing unit 12), the recording/playback unit 19 listens to the content A received and processed by the broadcast signal reception processing unit 12. Meanwhile, the recording/playback unit 19 can record the content B received and processed by another broadcast signal reception processing unit 12 .

The device data generation unit 100 collects data from each functional unit of the viewing device 10 and generates viewing device data. The viewing device data includes device-specific data and viewing data. The device-specific data is data unique to the audio-visual device 10 , and is set in the audio-visual device 10 by the user, for example, using a remote controller when installing the audio-visual device 10 . Also, the identification number may be assigned in advance, for example, when the audio-visual device 10 is purchased.

The viewing data is, for example, a viewing history, and may be sequentially generated when some viewing is performed by the viewing device 10 . Specifically, for example, at the timing when the broadcast signal reception processing unit 12, the content processing unit 14, and the recording/reproducing unit 19 are activated, each functional unit displays the channel, program name (or equivalent program ID) that provides the digital content. ), the date and time when the program was viewed, etc. are stored, and each functional unit outputs viewing data to the device data generation unit 100 at the timing when each functional unit is stopped. The device data generation unit 100 processes the viewing data as necessary, and stores it in a storage unit (not shown) of the viewing device 10 . Further, each functional unit (broadcast signal reception processing unit 12, content processing unit 14, recording/playback unit 19) stores viewing data, and when an external device requests transmission of viewing data, each functional unit The viewing data may be output to the equipment data generating section 100, and the equipment data generating section 100 may process the viewing data as necessary and output the processed viewing data to the external device as the viewing equipment data. The audio-visual equipment data will be described in detail in FIG. 6A.

The equipment data generation unit 100 outputs the generated audio-visual equipment data to the communication unit 13 in response to a request from an external device. The audio-visual equipment data is transmitted from the communication unit 13 via the network 50 to the requested external device. Further, when the audio-visual device 10 detects a change in the audio-visual device data, the audio-visual device data may be transmitted at an arbitrary timing.

FIG. 3 is a block diagram illustrating an example of the functional configuration of the content server device according to the embodiment;

The content server device 20 provides digital content to the viewing device 10 in response to a request from the viewing device 10 . When the communication unit 21 receives a content request signal from the audio-visual device 10 via the network 50, the communication unit 21 acquires content request data through reception processing according to a predetermined communication protocol such as TCP/IP or UDP/IP. Output to the processing unit 22 . The processing unit 22 outputs the content data requested by the received content request data to the communication unit 21 . The communication unit 21 generates a content data signal according to a predetermined communication protocol or the like, and transmits the content data signal to the requested audio-visual device 10 via the network 50 .

FIG. 4 is a block diagram illustrating an example of the functional configuration of the data collection device according to the embodiment;

The data collection device 30 collects audio-visual equipment data from the audio-visual equipment 10 via the network 50 and stores the collected audio-visual equipment data. The communication unit 31 exchanges data with the viewing device 10 according to a predetermined communication protocol such as TCP/IP or UDP/IP, and outputs received data (including viewing device data) to the control unit 32 . The control unit 32 extracts audio-visual equipment data from the received data, processes the data as necessary, and outputs the data to the storage unit 33 . The storage unit 33 stores audio-visual equipment data. The control unit 32 may create a database for the audio-visual equipment data stored in the storage unit 33 . The control unit 32 may request the audio-visual equipment data from the audio-visual equipment 10 . Alternatively, the audio-visual equipment data may be transmitted from the audio-visual equipment 10 at an arbitrary timing without a request from the control unit 32 . In this case, the data collection device 30 may perform an appropriate handshake with the viewing device 10 before receiving the viewing device data.

FIG. 5 is a block diagram illustrating an example of the functional configuration of the data processing device according to the embodiment;

The data processing device 40 collects data from the data collection device 30 according to the conditions designated by the user, and performs analysis.

The display unit 41 is, for example, a PC monitor, and the interface unit 42 is, for example, a user interface such as a PC mouse and keyboard. The user sets analysis conditions and the like from the interface unit 42 while viewing the display unit 41 . The set conditions are output to the control section 43 .

The control unit 43 controls each functional unit of the data processing device 40 . Specifically, the control unit 43 causes the extraction unit 45 to collect necessary data from the data collection device 30 based on the analysis conditions set from the interface unit 42, and causes the analysis unit 46 to analyze the collected data. to run.

The communication unit 44 exchanges data with the data collection device 30 via the network 50 according to a predetermined communication protocol such as TCP/IP or UDP/IP.

The extraction unit 45 acquires necessary data from the data collection device 30 according to analysis conditions set by the user via the control unit 43 .

The analysis unit 46 analyzes the data acquired by the extraction unit 45 according to analysis conditions set by the user via the control unit 43 . The analysis unit 46 analyzes the audio-visual equipment data of the audio-visual equipment 10 to which the designated identification number is assigned, for the specified period, among the audio-visual equipment data stored in the data collection device 30 .

The storage unit 47 stores the data acquired by the extraction unit 45 and the analysis results output by the analysis unit 46 .

Also, the display unit 41 displays the analysis result output by the analysis unit 46 . Based on the analysis results displayed by the display unit 41, useful information may be provided to the audio-visual device 10 for a broadcast signal transmission device (not shown), a program production company, a program sponsor, and the like, which broadcast the program.

Although the data collection device 30 is outside the data processing device 40 in this embodiment, it may be in the same PC as the data processing device 40, for example. In addition, the data processing device 40 and the data collection device 30 may be provided as a cloud service using a cloud server and a database, respectively, or the data processing device 40 and the data collection device 30 may be integrated into a computer on the cloud. It may be a cloud service. Also, the data processing device 40 may be in a mobile terminal such as a smart phone or a tablet. In this case, the mobile terminal is connected to the data collection device 30 by connecting to the network 50 via wireless communication, and can access the data collection device 30 .

By visualizing the analysis result data on the display unit 41, it is possible to provide or display the fact that there is a certain tendency in the group of audio-visual equipment data that appears to be disorderly in a form that is easy for the user to understand using graphs and tables. It becomes possible to

6A is a diagram illustrating an example of data generated by the viewing device according to the embodiment; FIG.

The audio-visual equipment data 101 is generated by the audio-visual equipment 10 and includes individual equipment data 1011 and audio-visual data 1012 . The audio-visual equipment data 101 is held by the audio-visual equipment 10 . The device individual data 1011 includes the IP address and identification number of the audio-visual device 10, demographic data, installation area of the audio-visual device 10, and the like. The device-specific data 1011 may also include information (cookie information) generated when the audio-visual device 10 accesses via the network 50 (Internet).

The viewing data 1012 is the viewing history of the viewing device 10 . In FIG. 6A, viewing data 1012 is viewing data of a program viewed for each row, and data such as No, CH, program id, date and time, day of the week, start time, end time, viewing time, source type, and Sid are column items. showing. The viewing device 10 may accumulate viewing data by adding a row each time the program is viewed. No is the number of the viewing data accumulated by the viewing device 10, and may be the serial number of the viewing data accumulated by the viewing device 10 in the past. CH indicates the channel or channel code on which the program viewed by the viewing device 10 was broadcast, and is a number, character string, or the like for identifying the channel.

A program id is a number or character string for identifying a program (digital content). A unique program id can be defined. In the case of broadcast waves, program information is transmitted together with the program, and the program can be identified using information (for example, event id) included in the program information. However, the event id is uniquely assigned to each broadcasting station or channel code, and is uniquely assigned to one week's worth of programs. Therefore, for example, when assigning a program id to a program included in one year's worth of viewing data, a unique program id is obtained by adding a channel code, program start time, etc. to the event id. can also be allocated. In this way, the program id may be uniquely defined within the system. Serial numbers may be assigned to different channels, or uniform serial numbers may be assigned to all channels. Program information data in which program information is associated with each program id may be stored separately from the viewing device data 101, and the program id may be used as a keyword for retrieving the program information data from the viewing device data 101. FIG. In this case, the correspondence between the stored program id and the program information data may be set by the user using the system from a user interface such as a PC keyboard, or may be automatically generated by a computer.

Also, the viewing device 10 and the data processing device 40 may or may not share the program id. If the program id is not shared, the data processing device 40 can identify the program from the combination of the channel code and the program start time of the audio-visual equipment data 101 held by the audio-visual equipment 10, or from the event id. Moreover, the system does not necessarily use the program id. In this case, the program can be identified from the channel code and the program start time of the audio-visual equipment data 101 . In this embodiment, an example using program id is shown as a method of identifying a program.

The date and time and day of the week indicate the date and day of the week when the viewed program was broadcast, the start time and end time are the times when the viewing of the program started and ended on the viewing device 10, and the viewing time is the actual viewing time. is the value obtained as end time - start time.

The source type is the format of the provider of the viewed digital content. For example, it includes "digital broadcasting", "service provider", "over the top (OTT)", and the like.

Sid is a number, character string, or the like for indicating an id (or name) for identifying a digital content service provider. In the case of broadcast waves such as digital broadcasting, the channel code by the item "CH" shown in FIG. 6A, the item "program id" (including program title) and "date and time" (program start and end time) shown in FIG. A Sid can be defined by service identification information such as an event ID or a genre code that is not shown. In the case of OTT, Sid can be defined by service identification information such as the ID of a started application (not shown).

In addition, like the program id, the Sid can be uniquely defined. In this case, the correspondence between the stored Sid and the data of the service identification information is determined by the user using the system, for example, using a user interface such as a PC keyboard. , or may be automatically generated by a computer. Also, the audio-visual device 10 and the data processing device 40 may or may not share the Sid, and furthermore, the Sid may not be used. In this embodiment, an example using Sid as a method of identifying a provider, which is service identification information, is shown.

For example, as viewing data No. 1, a program D12 broadcasted on a channel D11 with a source type of D18 and a Sid of D19 on a date and time D13 and a day of the week D14 was viewed from time D15 to time D16 over time D17. It is shown that. In the Noi of the viewing data, the program Di2 broadcasted on the date Di3 and the day Di4 was viewed on the channel Di1 whose source type is Di8 and whose Sid is Di9, from the time Di5 to the time Di6, over the time Di7. is shown. The number N of the viewing data indicates the number of viewing data accumulated in the viewing device 10 . The value of N differs depending on the individual audiovisual equipment 10 (eg audiovisual equipment 10A, 10B, 10C).

Note that the viewing data shown in FIG. 6A is an example, and viewing data items (not shown) may be added to the column items in FIG. 6A as data related to viewed programs. For example, it is desirable to provide column items with items of analysis conditions related to viewing data shown in FIG. 8, which will be described later. Also, as items of viewing data (not shown), "Event ID", "genre code", "application ID", etc., which are data related to Sid, which is service identification information, are also included in normal viewing data. Also, the item "viewing status" may be set to include information such as "live viewing", "receiving", "recording", and "recording viewing". For example, "live viewing" is a program viewed on a television device, "received" is a program received by an STB, "recorded" is a program recorded by a recorder, and "recorded viewing" is a program recorded by a recorder. is a program I watched on TV.

6B is a diagram illustrating an example of data of the data collection device according to the embodiment; FIG.

It shows a situation in which audio-visual equipment data 101 is collected in the data collection device 30 . In FIG. 6B, the audio-visual equipment data 101A, 101B, and 101C respectively show only three pieces of data collected from the audio-visual equipment 10A, 10B, and 10C clearly shown in FIG. It is assumed that the devices 10 are connected to the network 50, and the audio-visual device data 101 corresponding to the number of connected audio-visual devices 10 are collected by the data collection device 30. FIG.

The audio-visual equipment data 101 shown in FIGS. 6A and 6B indicate data contents, and are not necessarily stored in the audio-visual equipment 10 and the data collection device 30 in an arrangement format such as a table as shown in FIGS. 6A and 6B. It does not have to be stored in a format suitable for each device.

(First embodiment)
In the present embodiment, an example is shown in which the data processing device 40 analyzes viewing conditions for service groups pre-categorized for each viewing device 101 from the viewing device data 101 .

FIG. 7 is a flowchart showing an example of processing operation of the data processing device for analyzing collected data in the first embodiment.

In the data processing device 40, for example, when software for data analysis is started, an analysis screen is displayed (step S1).

FIG. 8 is a diagram showing an example of an analysis screen in the data processing device according to the first embodiment.

Analysis conditions and the like are set in the setting section 4011 of the display frame 401 (step S2).

The item “evaluation” in the setting unit 4011 indicates the type of analysis to be performed. In this embodiment, "viewing situation analysis by service category" is selected for "evaluation".

The item "service category type" indicates the service category used for analysis. In this embodiment, examples of service categories to be selected will be described later with reference to FIG. Select the service category in FIG. 10 as "Category 1".

The “region” item indicates the area in which the audio-visual device 10 to be analyzed exists. For example, areas such as "East Japan" and "West Japan" are set. A selection of “all” indicating all audio-visual devices 10 connected to the network 50 is also possible. In this embodiment, "East Japan" is selected, and the audio-visual devices 10 installed in East Japan are analyzed.

The item "reference date and time" indicates the date and time of the data to be analyzed. For example, a date and time such as "day of the week/time" can be specified. In this embodiment, "at the time of analysis" is specified, and "date and time at the time of analysis" is set as the "reference date and time".

The item "target history time" indicates the time of the audio-visual device data to be analyzed, and the data for the past "target history time" from the "reference date and time" is to be analyzed. In this embodiment, "1W" is selected, and the data for the past one week from the "reference date and time" are analyzed.

The item "target history time" indicates the evaluation criteria used in the analysis, and "use degree (viewing time)", "use degree (lift value)", and the like can be selected.

In addition, items such as "demogram" and "viewing method" may be added.

The "demographic" item indicates the demographic attribute of the data to be analyzed, and "whole region" is selected here. "Demogram" includes items such as age and sex, and can be specified by combining age and sex. For example, in addition to "whole area", "whole family", "M3", "M2", "M1", "T", "F1", "F2", "F3", etc. can be specified.

The "viewing method" item indicates the viewing method of the program viewed by the viewing device 10, and "live" is selected here. In the "viewing method", designations such as "live", "recording playback viewing", "recording", "receiving", "OTT", and the like can be made. When the “viewing method” is set to “live”, for example, in the viewing device 10 , broadcast waves are received by the broadcast signal reception processing unit 12 and content displayed on the display 16 is viewed. When the "viewing method" is set to "recording/playback viewing", it corresponds to, for example, viewing the content recorded by the recording/playback unit 19 of the viewing device 10. FIG. When the "viewing method" is set to "recording", for example, it corresponds to the case where the content is recorded by a recorder but not yet viewed. When the "viewing method" is set to "receiving", it corresponds to, for example, receiving the content in the STB. If the "viewing method" is set to "OTT", it corresponds to viewing the digital content service (including VOD) of the content server device 20 provided by CSP or OTT via the network 50 (Internet, etc.). do. By being able to select the "viewing method", it becomes possible to analyze the data for each viewing method of the content. When data is to be analyzed regardless of the "viewing method", for example, "all" can be selected, or some of the "viewing methods" can be selected.

As described above, it is desirable that the items set in FIG. 8 also exist in the items of the audio-visual equipment data 101 shown in FIG. 6A. That is, the audio-visual equipment data 101 is also provided with data that matches the analysis conditions set in FIG. If the audio-visual equipment data 101 does not have an analysis condition item, for example, the audio-visual equipment data 101 can be excluded from analysis.

After the user sets the analysis conditions in the display frame 4011 in step S2, the user clicks the analysis start button 4012 to start the analysis (step S3). When the user clicks the analysis start button 4012 , an analysis start signal indicating the start of analysis is input from the interface section 42 of the data processing device 40 to the control section 43 together with the analysis conditions set in the display frame 4011 . The control unit 43 inputs the analysis conditions set in the display frame 4011 to the analysis unit 46, and causes the analysis unit 46 to start analysis (step S3).

FIG. 9 is a flow chart showing an example of processing operation of the data processing device for executing analysis in the first embodiment.

When the analysis is started, the analysis unit 46 outputs the analysis conditions input from the control unit 43 to the extraction unit 45, and the extraction unit 45 acquires necessary audio-visual equipment data from the data collection device 30 based on the analysis conditions. (step S11). The step S11 will be described in more detail below.

The extraction unit 45 outputs from the communication unit 44 a viewing data request signal requesting the viewing equipment data. The viewing data request signal includes data extraction words based on analysis conditions. The viewing data request signal is transmitted to the data collection device 30 via the network 50 . In the data collection device 30 , the communication section 31 receives and processes the viewing data request signal, and outputs the requested data to the control section 32 . The control unit 32 extracts the requested viewing data from the storage unit 33 based on the data extraction word included in the requested data. The extracted requested viewing data is transmitted from the communication section 31 to the data processing device 40 via the network 50, and received by the extraction section 45 (step S11).

In the evaluation “viewing situation analysis by service category” in the present embodiment, the extraction unit 45 acquires the audio-visual equipment data 101 that satisfies all of the following conditions from the data collection device 30 (step S11).
Analysis conditions 1. 2. Data analysis condition where "Region" is "Eastern Japan" in the device-specific data 101; In the viewing data 1012, data from the reference date (=“at the time of analysis”) to the “target history time” (=“1W”) past data The number of viewing device data 101 acquired by the extraction unit 45 from the data collection device 30 under the above conditions ( hereinafter referred to as the number of audiovisual equipment data) is defined as N_R0, and the group of audiovisual equipment 10 from which the acquired audiovisual equipment data 101 is transmitted is defined as audiovisual equipment group R0. N_R0 matches the number of audio-visual devices 10 in the audio-visual device group R0 extracted by the extraction unit 45 under the analysis conditions 1 and 2 described above.

The extraction unit 45 outputs the audio-visual equipment data 101 of the audio-visual equipment group R<b>0 to the analysis unit 46 .

The analysis unit 46 performs viewing analysis on the input audio-visual equipment data 101 of the audio-visual equipment group R0 (steps S12 to S16). Specifically, the analysis unit 46 performs viewing analysis on the programs viewed by each viewing device 10 of the viewing device group R0 on the input viewing device data 101 for each service group.

FIG. 10 is a diagram showing an example of the correspondence relationship between categories for each service group, which is used by the data processing apparatus according to the first embodiment, and corresponds to "Category 1" specified in the display frame 4011 in FIG. do.

In the service group category 402, "category" and "service ID (Sid) belonging to category" are predetermined as column items for each "service group". For example, the service group "A" is a category of "fixed-rate charge" and includes providers of "fixed-rate charge" (providers whose Sid is "1, 2, 3, 4"). The service groups in this embodiment are divided into service groups A to F, and each "category" and the "Sid" of the provider belonging to that "category" are shown for each row of the service group category 402. FIG. Also, "Sid" is not a number, but may be the name of the provider or a symbol if the provider can be identified.

A user who uses the data processing device 40 must determine the "service group", "category", and "Sid" in advance and register them in the storage unit 46 of the data processing device 40 or the like. The data processing device 40 refers to the service group category 402 from the storage unit 46 or the like when executing the analysis.

Returning to step 12 in FIG. 9, the analysis unit 46 uses the service group category 402 for the input audio-visual equipment data 101 of the audio-visual equipment group R0 to calculate the viewing time of each service group for each audio-visual equipment 10. Calculate (step S12 to step S16). Details are described below.

Here, the viewing device 10 of the viewing device group R0 is referred to as viewing device r0_i (step S12). i may be arbitrarily set by the analysis unit 46 at the time of analysis as a value for distinguishing the audio-visual equipment 10 based on the identification number set in the equipment-specific data 1011 included in the audio-visual equipment data 101 . For example, i may be a natural number, and serial numbers may be assigned in order of arrangement of the audio-visual equipment data for the audio-visual equipment 10 of the audio-visual equipment group R0. i is referred to as a viewing device id. The viewing device id is desirably a number different from the identification number set in the device individual data 1011 in order to be displayed in the analysis result.

For example, i=1, and the viewing time T_g_1 of the digital content in the service group g is obtained for the viewing data 1012 of the viewing device r0_1. In this embodiment, g is A, B, C, D, E, or F.

For the viewing data 1012 of the viewing device r0_1, the analysis unit 46 checks the column item "Sid" from, for example, the column item "No"=1, refers to the service group category 402, and checks the confirmed "Sid". A service group g is determined (here, for example, service group g1). The analysis unit 46 finds the viewing time T_g1_1 of the service group g1 from the column item "viewing time" of the viewing data 1012 for the viewing data 1012 with "No"=1. The analysis unit 46 can calculate the viewing time T_g_1 for the service group g by the viewing device r0_1 by performing the same operation on all data of the viewing data 1012 (step S13). The analysis unit 46 can calculate the viewing time T_g_i for the service group g by executing the same operation for all the viewing devices r0_i in the viewing device group R0 (step S14).

FIG. 11 is a diagram showing an example of analysis results by the data processing device according to the first embodiment,
The analysis result 403 is a diagram displaying the viewing time T_g_i obtained by the analysis unit 46 . However, g={A, B, C, D, E, F} and i is a natural number from 1 to NR as the viewing equipment ID. Nr is the total number of viewing devices 10 in the viewing device group R0. Column items indicate elements A, B, C, D, E, and F of the service group g, and rows indicate data for each viewing device 10 of the viewing device group R0.

For example, E1A indicates the viewing time T_A_1 during which the viewing device 10 with the viewing device id=1 viewed the digital content provided by the provider belonging to the service group A. FIG. Similarly, E1B, E1C, E1D, E1E, and E1F viewed digital content provided by providers whose viewing device 10 with viewing device id=1 belongs to service groups B, C, D, E, and F, respectively. Viewing times T_B_1, T_C_1, T_D_1, T_E_1, and T_F_1 are shown. ENrA, ENrB, ENrC, ENrD, ENrE, and ENrF are digital contents provided by providers whose viewing device 10 with viewing device id=Nr belongs to service groups A, B, C, D, E, and F, respectively. viewing time T_B_Nr, T_C_Nr, T_D_Nr, T_E_Nr, and T_F_Nr for watching

Through the above procedure, it is possible to know the degree of use for each service category obtained by categorizing the provider of the digital content viewed by the viewing device 10 . Based on the degree of use determined by this embodiment, it is possible to analyze the viewing status of the digital content provided by the provider without specifying the provider of the digital content.

By using the analysis results obtained in this way for content recommendation and marketing measures of each business operator, it is possible to effectively use information (service identification information, etc.) on the usage status of services provided by methods different from broadcasting. It becomes possible.

Information such as service identification information is not desirable for a service provider to allow other competitors to grasp the specific usage status of its services. In general, it is common to be required to enter into a contract that does not allow disclosure to a third party without prior consent. As a result, there is a problem that it is difficult to effectively use the information as it is for marketing measures, etc. However, according to the present embodiment, it is possible to know the information regarding the usage status of the service without causing such a problem.

(Second embodiment)
In this embodiment, the case where the lift value is used as the evaluation criterion used in the analysis is shown.

For the viewing devices 10 in the viewing device group R0, for each service group g, the lift value is obtained by changing the "viewing time of the digital content by the viewing device 10" to the "all viewing devices viewing the g digital content in the viewing device group R0." It is obtained as a value divided by 10 g of the average viewing time of digital content. The lift value is an index indicating how many times the viewing time of each viewing device 10 is compared to the average viewing time.

The analysis condition setting screen in FIG. 8 is the same as the first embodiment, except that "utilization (lift value)" is selected as the evaluation criterion. Analyzes can be performed using the flowcharts of FIGS. 7 and 9, and description of details of the processing flow similar to those of the first embodiment will be omitted.
FIG. 12 is a diagram showing an example of evaluation criteria used in analysis by the data processing device in the second embodiment.

The category correspondence 404 shows the definition of each lift value category for each row when the lift value is used as the degree of utilization. "Usage category" is a number assigned to a defined category (referred to as category value). For example, when the category value is 0, it indicates that "the lift value is 0". In addition, when the category value is 1, 2, 3, or 4, "the lift value is greater than 0 and less than 0.5.", "the lift value is 0.5 or more and less than 1.0." It indicates that the lift value is 1.0 or more and less than 2.0, or that the lift value is 2.0 or more.

In steps S12 to S14 in FIG. 9, for each viewing device i (i is a natural number from 1 to Nr) in the viewing device group R0, A lift value (assumed to be L_g_i) is obtained. From the obtained lift value L_g_i and the category correspondence 404, a lift value category (assumed to be LC_g_i) for each audio-visual device i is determined for each service group g. As described above, the lift value categories LC_g_i for the service groups A, B, C, D, E, and F are obtained for all the viewing devices 10 in the viewing device group R0, and output as the analysis result 403 in FIG. be. In this embodiment, for example, E1A is the lift value category LC_A_1 for service group A of the viewing device 10 with viewing device id=1. Similarly, E1B, E1C, E1D, E1E, and E1F are the lift value categories LC_B_1, LC_C_1, LC_D_1, LC_E_1, LC_E_1, LC_B_1, LC_C_1, LC_D_1, LC_E_1, for the service groups B, C, D, E, and F, respectively, of the viewing device 10 with the viewing device id=1. LC_F_1. ENrA, ENrB, ENrC, ENrD, ENrE, and ENrF are lift value categories LC_A_Nr, LC_B_Nr, and LC_C_Nr for service groups A, B, C, D, E, and F, respectively, of the viewing device 10 with the viewing device id=Nr. , LC_D_Nr, LC_E_Nr, and LC_F_Nr.

FIG. 13 is a display example of the analysis result by the data processing device according to the second embodiment. 41 shows an example displayed.

The display unit 41 displays a graph 4051 and a legend explanation 4052 of the graph as the result display 405 . A graph 4051 is obtained by counting the number of viewing devices for each lift value category value in the service group g from the lift value category value (hereinafter referred to as lift value category value) of the analysis result 403 output by the analysis unit 46. This is an example of displaying the viewing device ratio obtained for each lift value category value from the number of viewing devices. A specific description will be given. Let N0g, N1g, N2g, N3g, and N4g be the number of viewing devices of service group g counted for each lift value category value 0, 1, 2, 3, and 4, respectively. The viewing device ratios for each lift value category value in service group g are obtained as N0g/Nr, N1g/Nr, N2g/Nr, N3g/Nr, and N4g/Nr, respectively. However, Nr is the number of viewing devices in the viewing device group R0.

In the graph 4051, the horizontal axis represents the service group, and the vertical axis represents the viewing device ratio (displayed as a percentage). The viewing status for each service group can be easily understood from the analysis results visualized as in graph 4051 . For example, by providing this analysis result to an agency or an advertiser, the agency or advertiser can use it to select a digital content provider to which the agency or advertiser intends to make a business request. Since the agency or advertiser obtains information on a service group basis rather than information on individual providers, individual information on the provider is not provided to the agency or advertiser.

Through the above procedure, the lift value, which is the degree of use for each service category obtained by categorizing the provider of the digital content viewed by the audiovisual device 10, and the distribution of the lift value can be known.
(Modification 1)
In the above-described embodiment, an example in which the service groups shown in FIG. 10 are used has been shown. (equivalent to an affiliated station) is categorized into affiliated stations.

Broadcasting stations for digital broadcasting all over the country can be classified into several categories called affiliates, and broadcasting stations belonging to the same affiliate are called affiliated stations. Here, the broadcasting stations may include not only terrestrial broadcasting but also broadcasting stations such as BS digital broadcasting, CS digital broadcasting, and 4K/8K digital broadcasting. For example, categories using series A, series B, series C, and others D are defined as "category 2" in the selection item of "service category type" in FIG. 8, and divided into service groups.

FIG. 14 is a diagram illustrating an example of a correspondence relationship between categories for each service group, which is used by the data processing device according to the modification.
The user defines the category of the service group category 406 and designates Sid belonging to the service group. Specifically, system A is service group A, system B is service group B, system C is service group C, and other D is service group D. The digital content service provider “category service ID (Sid)” is linked to each created service group. Here, the Sid in FIG. 14 is an example and has nothing to do with the Sid shown in FIG. The data processing device 40 performs processing according to FIG. 7 using the correspondence relationship of FIG. It is possible to know the degree of usage for each service category that categorizes service providers of digital contents by "keiretsu".
It is also possible to create a service group by defining a category as "service provider (Sid itself)". In this case, one Sid is associated with each service group. It is also possible to create service groups by defining various categories such as "genres of digital content (music, sports, drama, etc.)".

According to at least one of the embodiments described above, it is possible to analyze the viewing status of digital content in consideration of the service identification information without specifying the service identification information of the digital content, based on the degree of use obtained by the present embodiment. A history analysis device, viewing history analysis method, and program can be provided.

In the above-described embodiments and modifications, an example of dividing Sid, which is the identification number of a service provider, into service groups has been described. etc.), or regarding service providers, it is also possible to distinguish between information on service content providers (providers), service platform providers, and the like. By doing so, it is possible to analyze the viewing situation of the digital content with more detailed consideration of the service identification information without specifying the service identification information of the digital content.

It should be noted that the names, definitions, types, etc. of the conditional parameters, options, values, evaluation indices, etc. displayed on the analysis screens shown in the drawings are shown as examples in the present embodiment. It is not limited to what is shown.

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.

Also, in order to make the description clearer, the drawings may schematically show the width, thickness, shape, etc. of each part compared to the actual mode. In the block diagram, data and signals may be exchanged between unconnected blocks, or between connected blocks in directions not indicated by arrows. The processing shown in the flowchart may be realized by hardware (such as an IC chip), software (such as a program), or a combination of hardware and software. 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.

DESCRIPTION OF SYMBOLS 10A... Audio-visual equipment, 20A... Contents server apparatus, 30... Data collection apparatus, 40... Data processing apparatus, 41... Display part, 42... Interface part, 43... Control part, 44... Communication part, 45... Extraction part, 46... Analysis unit 47 Storage unit 50 Network.

Claims (10)

a data collection means for collecting audio-visual equipment data including a viewing history of digital content viewed by a receiving device;
data analysis means for analyzing the audio-visual equipment data;
the viewing equipment data includes service identification information of the viewed digital content;
The viewing history analyzing device, wherein the data analysis means analyzes the audio-visual equipment data for each of the service groups using the corresponding relationship between the service identification information and the service groups and the service identification information of the audio-visual equipment data. The audio-visual equipment data includes an individual identification number that individually identifies the receiving device,
2. The viewing history analysis apparatus according to claim 1, wherein said data analysis means analyzes said audio-visual equipment data for each receiving apparatus specified by said individual identification number. The service identification information of the audio-visual equipment data is business identification information that identifies a provider of digital content,
3. The viewing history analysis apparatus according to claim 2, wherein said data analysis means analyzes said audio-visual equipment data for each of said service groups using a correspondence relationship between said provider identification information and said provider of said digital content. 4. The viewing history analysis device according to claim 3, wherein the business identification information is a business identification number uniquely assigned to each provider of digital content shared with the receiving device. 4. The viewing history analysis apparatus according to claim 3, wherein the service group is arbitrarily determined by the user. 6. The viewing history analysis apparatus according to claim 5, wherein said data analysis means obtains viewing time through said analysis. The data analysis means obtains, for each service group, an average viewing time value of the digital content of the service group by the first receiving device where the viewing time is not 0,
7. For each service group, a lift value, which is a value obtained by dividing the viewing time by the second receiving device to be analyzed by the average viewing time value for each service group, is obtained for each of the second receiving devices. The viewing history analysis device according to . 8. The viewing history analysis apparatus according to claim 7, wherein said data analysis means obtains category values corresponding to categories preliminarily classified according to lift value magnitudes. A viewing history analysis method for collecting audio-visual equipment data including a viewing history of digital content viewed by a receiving device and analyzing the audio-visual equipment data,
the viewing equipment data includes service identification information of the viewed digital content;
A viewing history analysis method for analyzing the audio-visual equipment data for each service group by using the corresponding relationship between service identification information and service groups and the service identification information of the audio-visual equipment data. A program for a computer to collect audio-visual equipment data including a viewing history of digital content viewed by a receiving device and analyze the audio-visual equipment data,
the viewing equipment data includes service identification information of the viewed digital content;
A program for analyzing the audio-visual equipment data for each of the service groups using the corresponding relationship between service identification information and service groups and the service identification information of the audio-visual equipment data.

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