JP2021072480A - Viewing history analysis device, viewing history analysis method, and program - Google Patents

Abstract

To analyze the viewing status of a digital content in consideration of service identification information without specifying the service identification information of the digital content.SOLUTION: A viewing history analysis device according to an embodiment includes data collecting means and data analyzing means, and the data collecting means collects viewing device data including a viewing history of a digital content viewed by a receiving device, and the data analyzing means analyzes the viewing device data, and the viewing device data includes service identification information of the viewed digital content, and the data analysis means uses the service identification information and a service group that classifies the service identification information of the digital content to analyze the viewing device data for each service group.SELECTED DRAWING: Figure 5

Description

The embodiment relates to a viewing history analysis device, a viewing history analysis method, and a program.

In recent years, Internet technology has been developed, and the population using video-on-demand (VOD) services on television devices is increasing. Therefore, the number of TV devices connected to the Internet is also increasing.

In such an environment, it is possible to collect a huge amount of viewing data (sometimes called a viewing log) from each TV device via the Internet and analyze the viewing status such as audience rating. It has become.

JP-A-2017-28353 JP-A-2017-188932

The viewing data of each TV device includes not only programs broadcast by broadcasters such as digital broadcasts, but also content providers that can be viewed via the Internet and digital content service providers called Over The Top (OTT). Contains information about programs and VOD services provided by. Specifically, it includes information such as a service name and information for identifying a service (hereinafter collectively referred to as service identification information).

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

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. The purpose is to do.

The viewing history analysis device according to the embodiment includes a data collecting means and a data analyzing means, and the data collecting means collects viewing device data including the viewing history of the digital content viewed by the receiving device and analyzes the data. The means analyze the viewing device data, the viewing device data includes the service identification information of the digital content viewed, and the data analysis means uses the service identification information and the service group that classifies the service identification information of the digital content. , Analyze viewing device 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 showing an example of the functional configuration of the viewing device according to the embodiment. FIG. 3 is a block diagram showing an example of the functional configuration of the content transmission device according to the embodiment. FIG. 4 is a block diagram showing an example of the functional configuration of the data collection device according to the embodiment. FIG. 5 is a block diagram showing an example of the functional configuration of the data processing device according to the embodiment. FIG. 6A is a diagram showing an example of data generated by the viewing device according to the embodiment. FIG. 6B is a diagram showing an example of data of the data collection device according to the embodiment. FIG. 7 is a flowchart showing a processing operation example of a 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 apparatus according to the first embodiment. FIG. 9 is a flowchart showing a processing operation example of a data processing device for performing analysis in the first embodiment. FIG. 10 is a diagram showing an example of the correspondence of categories for each service group 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 apparatus according to the first embodiment. FIG. 12 is a diagram showing an example of the evaluation criteria used in the analysis by the data processing device in the second embodiment. FIG. 13 is a display example of the analysis result by the data processing apparatus according to the second embodiment. FIG. 14 is a diagram showing an example of the correspondence of categories for each service group used by the data processing apparatus according to the first modification.

Hereinafter, embodiments will be described with reference to the drawings.

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

The viewing devices 10A, 10B, and 10C (referred to simply as the viewing device 10 unless otherwise specified) are devices for viewing digital contents, and for example, perform digital broadcasting such as terrestrial broadcasting such as 2K or 4K / 8K and satellite broadcasting. It is a television receiver (also referred to as a television device, a television receiver, or a broadcast signal receiver) that can receive and watch. Further, the viewing device 10 may have a recording / playback function, and the digital content recorded by the viewing device 10 can be viewed by the recording / playback function. Further, by connecting a recording / playback device (not shown) to the viewing device 10, the digital content recorded by the recording / playback device (not shown) may be viewed. Although the three viewing devices 10 of the viewing devices 10A, 10B, and 10C are shown in FIG. 1, a larger number of viewing devices 10 may be connected. However, the viewing device 10 does not have to have the same function as long as it is a device capable of viewing digital contents. Specifically, a recorder capable of recording only without a monitor that can be viewed, a Set Top Box (STB) capable of receiving a broadcast signal, or the like may be used. The viewing device 10, recorder, STB, etc. are collectively referred to as a receiving device. That is, the "viewing" in the present embodiment includes a state in which the digital content is received, received, or recorded in a state in which the user can view the digital content even if the user is not actually viewing the content. Therefore, the "viewing history" in the present embodiment is, for example, a "reception history" that is simply received by a receiving device such as an STB, regardless of whether or not it is viewed, or when the receiving device is a recorder. , "Recording history" received by the receiving device, reserved for recording, or recorded. Similarly, the "viewing time" in the present embodiment includes, for example, the time when the receiving device such as STB receives the digital content, and when the receiving device is a recorder, the time when the digital content is recorded. ..
In this embodiment, an example of the viewing device 10 is particularly shown, but the viewing device 10 may be replaced with a receiving device such as a recorder or STB. Further, the viewing device 10 may be a mobile device such as a personal computer or a smartphone as a receiving device having the same receiving function.

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

Further, the viewing device 10 in the present embodiment can collect and store the viewing history (hereinafter referred to as viewing data) of the digital content viewed by the viewing device 10. In addition, data unique to the viewing device 10 (hereinafter referred to as device individual data) can be saved. The viewing device data including the viewing data and the device individual data is referred to as viewing device data.

The viewing device data also includes reception log data, download history data, recording data, and the like generated by the receiving device such as the recorder and STB when the viewing device 10 is replaced with a receiving device such as a recorder or STB.

The device individual data may be registered in the viewing device 10 by the user using, for example, a remote controller (not shown) of the viewing device 10, or may be set by the manufacturer such as a solid number of the viewing device 10. The device individual data includes, for example, the IP address of the viewing device 10, the identification number, and demographic data (hereinafter referred to as demogra data) registered in advance by the owner or the like. The demogra data is data that classifies users who view the viewing device 10, and is, for example, information such as the age, gender, family structure, and residential area of the user. The identification number is a number, a character string, or the like that identifies the viewing device 10, and is composed of, for example, a combination of numbers and alphabets.
The viewing device 10 can output stored data such as viewing history from an external interface to an external data collecting device via a network.

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

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), and is, for example, a computer having a CPU, a memory, or the like. Is. The data collection device 30 may be a personal computer or a cloud service using a server, a database, or the like.

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

The data processing device 40 is, for example, a computer having a CPU, a memory, or the like, acquires viewing device data stored in the data collecting device 30, and executes analysis according to conditions specified by the user.

The network 50 is a network to which the viewing device 10, the content server device 20, the data collection device 30, and the data processing device 40 are connected so that each device and device can communicate with each other, for example, the Internet. Further, 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.

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

The viewing device 10 is a device that receives and processes a signal on which the digital content is superimposed to acquire and view the 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 a standard of digital broadcasting, and acquires and outputs content data such as video, audio, and characters. The standards for digital broadcasting are, for example, the MPEG2 TS system adopted in 2K digital broadcasting and the MPEG Media Transport system (MMT system) adopted in 4K / 8K digital broadcasting. It may correspond to. Processing according to the digital broadcasting standard includes demultiplexing processing that separates the digital data stream into digital data streams of various contents, error correction code decoding processing, encryption / decryption processing that decrypts encrypted data, and each content. It includes decoding processing for coding applied to data (video coding, audio coding, character coding, etc.).

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 by reception processing according to predetermined communication rules such as TCP / IP and UDP / IP. Get and output.

The content processing unit 14 executes decoding processing for the coding processing performed by the content server device 20 on the digital data output by 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, character, audio, etc.). Perform processing etc.

The display control unit 15 adjusts the output timing, display method, and the like with respect to 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 for displaying video or characters, a speaker for outputting audio, or the like. The display unit 16 outputs the content data output by the display control unit 15 as video, characters, and audio. By viewing the video, characters, and audio output by the display unit 16, the user views the broadcast signal and the digital content provided by the content server device 20.

The interface unit 17 is an interface for controlling the viewing device 10 from the outside such as a remote controller. For example, the interface unit 17 receives a control signal from a remote controller or a switch (not shown) of the viewing device 10 and outputs the control signal to the control unit 18 of the viewing device 10. To do. Instead of the remote controller, it may have an interface for receiving the control signal by using a terminal such as a smartphone (not shown). Further, the interface unit 17 may have an interface for connecting to 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 viewing device 10. Specifically, the control unit 18 receives various control signals from the interface unit 17 and controls each function of the viewing device 10. For example, when the user specifies from a remote controller that does not indicate whether to view the content by the broadcast signal or the content from the content server device 20, the control unit 18 is controlled by the remote controller via the interface unit 17. The signal is received, the function of the viewing device 10 is controlled, and the operation specified by the user is performed. Note that, in FIG. 2, data may be exchanged with a functional block that is not particularly connected to the control unit 18.

The recording / playback unit 19 is, for example, a disc player, an HDD recorder, or the like, stores data output by the broadcast signal reception processing unit 12 or the content processing unit 14, reproduces the data according to a playback request, and outputs the content data to the display control unit 15. Then, it is 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, characters, and audio output by the display unit 16. In the present embodiment, the recording / playback unit 19 is a function of the viewing device 10, but may be, for example, an external device via the interface unit 17. 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 views the content A received and processed by the broadcast signal reception processing unit 12. However, 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 individual data is data unique to the viewing device 10, and for example, when the viewing device 10 is installed, the user sets the viewing device 10 from a remote controller or the like. Further, the identification number may be assigned in advance at the time of purchase of the viewing device 10, for example.

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 / playback unit 19 are activated, each functional unit provides a channel and a program name (or a program id equivalent thereto) that provides digital content. ), The date and time when the program was viewed, and the like are stored, and each functional unit outputs the 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 function 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 function unit receives a request. The viewing data may be output to the device data generation unit 100, and the device data generation unit 100 may process the viewing data as necessary and output the viewing data to an external device as viewing device data. The viewing device data will be described in detail in FIG. 6A.

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

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

The content server device 20 provides digital contents to the viewing device 10 in response to a request from the viewing device 10. When the communication unit 21 receives the content request signal from the viewing device 10 via the network 50, the communication unit 21 acquires the content request data by reception processing according to predetermined communication rules such as TCP / IP and 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 rule or the like, and transmits the content data signal to the requested viewing device 10 via the network 50.

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

The data collection device 30 collects and stores the viewing device data from the viewing device 10 via the network 50. The communication unit 31 exchanges data with the viewing device 10 in accordance with predetermined communication rules such as TCP / IP and UDP / IP, and outputs the received data (including viewing device data) to the control unit 32. The control unit 32 extracts the viewing device data from the received data, processes it as necessary, and outputs the data to the storage unit 33. The storage unit 33 stores the viewing device data. The control unit 32 may generate a database for the viewing device data stored in the storage unit 33. The control unit 32 may request the viewing device data from the viewing device 10. Further, the viewing device data may be transmitted from the viewing device 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 showing 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 collecting device 30 according to conditions specified by the user, and executes analysis.

The display unit 41 is, for example, a monitor of a PC, and the interface unit 42 is, for example, a user interface such as a mouse or keyboard of a PC. The user sets analysis conditions from the interface unit 42 while looking at the display unit 41. The set conditions are output to the control unit 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 the analysis unit 46 analyzes the collected data. To execute.

The communication unit 44 exchanges data with the data collection device 30 via the network 50 in accordance with predetermined communication rules such as TCP / IP and UDP / IP.

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

The analysis unit 46 executes analysis on the data acquired by the extraction unit 45 according to the analysis conditions set by the user via the control unit 43. The analysis unit 46 analyzes the viewing device data stored in the data collecting device 30 for the viewing device data for a specified period of the viewing device 10 to which the designated identification number is assigned, for example.

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

Further, the display unit 41 displays the analysis result output by the analysis unit 46. Based on the analysis result displayed by the display unit 41, useful information may be provided to the viewing device 10 for a broadcast signal transmitting device (not shown), a program production company, a program sponsor, or the like, which is the side that broadcasts the program.

In the present embodiment, the data collection device 30 is shown in the case where it is outside the data processing device 40, but it may be in the same PC as the data processing device 40, for example. Further, the data processing device 40 and the data collecting device 30 may be used as a cloud service as a server and a database on the cloud, respectively, or the data processing device 40 and the data collecting device 30 may be used as an integrated device by a computer on the cloud. It may be a cloud service. Further, the data processing device 40 may be located in a mobile terminal such as a smartphone 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 provided or displayed in a form that is easy for the user to understand by using graphs and tables that there is a certain tendency in the viewing device data group that looks disorderly. It becomes possible to do.

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

The viewing device data 101 is generated by the viewing device 10, and includes device individual data 1011 and viewing data 1012. The viewing device data 101 is held by the viewing device 10. The device individual data 1011 includes an IP address of the viewing device 10, an identification number, demogra data, an installation area of the viewing device 10, and the like. Further, information (cookie information) generated when the viewing device 10 accesses via the network 50 (Internet) may be included in the device individual data 1011.

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

The program id is a number or character string for identifying a program (digital content). For example, a character string obtained by combining a channel code and a program start time (corresponding to the date and time in FIG. 6A) can be used as a program. A unique program id can be defined. Further, in the case of a broadcast wave, the program information is transmitted together with the program, and the program can be identified by using the information included in the program information (for example, Event id). However, there is a limitation that 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 allocating a program id to a program included in the viewing data for one year, the program id unique to the program of the viewing data for one year is added by adding the channel code, the program start time, etc. to the event id. Can also be allocated. In this way, the program id may be uniquely defined in the system. You may assign serial numbers to different channels, or you may assign serial numbers to all channels in a unified manner. The program information data to which the 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 searching the program information data from the viewing device data 101. In this case, the association between the program id to be stored and the program information data may be set by the user using the system from a user interface such as a keyboard for a PC, or may be automatically generated by a computer.

Further, the viewing device 10 and the data processing device 40 may or may not share the program id. When the program id is not shared, the data processing device 40 can identify the program from the combination of the channel code of the viewing device data 101 held by the viewing device 10 and the program start time, the event id, and the like. Further, it is not always necessary to use the program id in the system, and in this case, the program can be identified from the channel code of the viewing device data 101 and the program start time. In this embodiment, an example in which a program id is used as a method for identifying a program is shown.

The date and time and day indicate the date and time when the watched program was broadcast, the day of day, the start time and end time are the time when the viewing device 10 started watching the program, the end time, and the viewing time are the actual viewing time. Is the value obtained as the end time-start time.

The source type is the form 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 or character string for indicating an id (or name) for identifying a service provider of digital contents. In the case of broadcast waves such as digital broadcasting, the channel code according to the item "CH" shown in FIG. 6A, the items "program id" (including the program title) and "date and time" (program start / end time) shown in FIG. 6A, and other figures. Side can be defined by service identification information such as Event ID and genre code that cannot be shown. In the case of OTT, Sid can be defined by service identification information such as the ID of the launched application (not shown).

Further, as with the program id, the Sid can be defined independently. In this case, the user who uses the system can associate the stored Sid with the data of the service identification information by using a user interface such as a computer keyboard. It may be set from, or it may be automatically generated by a computer. Further, the viewing device 10 and the data processing device 40 may or may not share the Sid, and further, the Sid may not be used. In this embodiment, an example in which Sid is used as a method for identifying a provider of service identification information is shown.

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

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

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

The situation in which the viewing device data 101 is collected in the data collecting device 30 is shown. In FIG. 6B, the viewing device data 101A, 101B, and 101C show only three data collected from the viewing devices 10A, 10B, and 10C shown in FIG. 1, respectively. It is assumed that the device 10 is connected to the network 50, and as many viewing device data 101 as the number of connected viewing devices 10 are collected in the data collecting device 30.

The viewing device data 101 shown in FIGS. 6A and 6B indicates the data content, and is stored in the viewing device 10 and the data collecting device 30 in the arrangement format as shown in the table as shown in FIGS. 6A and 6B. It is not necessary to be stored, and it may be stored in a form corresponding to each device.

(First Embodiment)
In the present embodiment, an example will be shown in which the data processing device 40 analyzes the viewing status of the viewing device data 101 for the service group categorized in advance for each viewing device 101.

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

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

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

The setting unit 4011 of the display frame 401 sets the analysis conditions and the like (step S2).

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

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

The item of "region" indicates the area where the viewing device 10 to be analyzed exists. For example, set an area such as "Eastern Japan" or "Western Japan". You can also select "all" to indicate all viewing devices 10 connected to the network 50. In the present embodiment, "Eastern Japan" is selected, and the viewing device 10 installed in eastern Japan is the analysis target.

The item of "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 "reference date and time".

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

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

Other items such as "Demogra" and "Viewing method" may be added.

The item of "Demogra" indicates the demographic attribute of the data to be analyzed, and here, "Whole area" is selected. "Demogra" includes items such as age and gender, and can be specified by a combination of age and gender. For example, in addition to "whole area", "whole family", "M3", "M2", "M1", "T", "F1", "F2", "F3" and the like can be specified.

The item of "viewing method" indicates a viewing method of the program viewed by the viewing device 10, and here, "live" is selected. The "viewing method" can be specified as "live", "recording / playback / viewing", "recording", "reception", "OTT", and the like. When the "viewing method" is set to "live", for example, it corresponds to the case where the viewing device 10 receives the broadcast wave by the broadcast signal reception processing unit 12 and views the content displayed on the display 16. 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. When the "viewing method" is set to "recording", it corresponds to, for example, the case where the content is recorded by the recorder but has not been viewed yet. When the "viewing method" is set to "reception", it corresponds to, for example, the case where the content is received by the STB. When the "viewing method" is set to "OTT", it is equivalent to viewing the digital content service (including VOD) of the content server device 20 provided by the CSP and OTT via the network 50 (Internet, etc.). To do. By being able to select the "viewing method", it is possible to analyze the data for each viewing method of the content. When analyzing data 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 item set in FIG. 8 is also in the item of the viewing device data 101 shown in FIG. 6A. That is, the viewing device data 101 also includes data that matches the analysis conditions set in FIG. If the viewing device data 101 does not have an analysis condition item, for example, the viewing device data 101 can be excluded from the analysis target.

When the user sets the analysis conditions for 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, the analysis start signal indicating the start of analysis is input to the control unit 43 from the interface unit 42 of the data processing device 40 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 the analysis (step S3).

FIG. 9 is a flowchart showing a processing operation example of a data processing device for performing 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 the necessary viewing device data from the data collection device 30 based on the analysis conditions. (Step S11). Hereinafter, step S11 will be described in more detail.

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

In the evaluation "viewing situation analysis by service category" in the present embodiment, the extraction unit 45 acquires the viewing device data 101 satisfying all of the following conditions from the data collecting device 30 (step S11).
Analysis conditions 1. Data analysis condition in which "region" is "eastern Japan" in the device individual data 101 2. In the viewing data 1012, the "target history time" (= "1W") from the reference date and time (= "at the time of analysis") 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 viewing device data) is referred to as N_R0, and the group of viewing devices 10 that is the source of the acquired viewing device data 101 is referred to as viewing device group R0. N_R0 corresponds to the number of viewing devices 10 of the viewing device group R0 extracted by the extraction unit 45 under the above analysis conditions 1 and 2.

The extraction unit 45 outputs the viewing device data 101 of the viewing device group R0 to the analysis unit 46.

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

FIG. 10 is a diagram showing an example of the correspondence of categories for each service group used by the data processing device according to the first embodiment, and corresponds to “Category 1” designated by the display frame 4011 of FIG. To do.

In the service group category 402, a "category" and a "service ID (Sid) belonging to the category" are predetermined as column items for each "service group". For example, the service group of "A" is a category of "paid flat rate" and includes a provider (provider whose side is "1, 2, 3, 4") which is "paid flat rate". The service group in this embodiment is divided into service groups A to F, and the "category" and the "Sid" of the provider belonging to the "category" are shown for each line of the service group category 402. Further, "Sid" may be not a number but a name or symbol of the provider as long as the provider can be identified.

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

Returning to step 12 of FIG. 9, the analysis unit 46 uses the service group category 402 for the input viewing device data 101 of the viewing device group R0, and sets the viewing time of each service group for each viewing device 10. Calculate (step S12 to step S16). This will be described in detail below.

Here, the viewing device 10 of the viewing device group R0 is referred to as the 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 viewing device 10 based on the identification number set in the device individual data 1011 included in the viewing device data 101. For example, i may be a natural number and serial numbers may be assigned in the order of the viewing device data for the viewing device 10 of the viewing device group R0. i is referred to as a viewing device id. The viewing device id is preferably 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, with i = 1, the viewing time T_g_1 of the digital content in the service group g is obtained from the viewing data 1012 of the viewing device r0_1. In this embodiment, g is any of A, B, C, D, E, and F.

The analysis unit 46 confirms the column item "Sid" from the column item "No" = 1 with respect to the viewing data 1012 of the viewing device r0_1, refers to the service group category 402, and refers to the confirmed "Sid". The service group g is determined (here, for example, the service group g1). The analysis unit 46 can know 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. By executing the same operation on all the data of the viewing data 1012, the analysis unit 46 can calculate the viewing time T_g_1 for the service group g by the viewing device r0_1 (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 of the viewing device group R0 (step S14).

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

For example, E1A indicates the viewing time T_A_1 in which the viewing device 10 having the viewing device id = 1 viewed the digital content provided by the provider belonging to the service group A. Similarly, in E1B, E1C, E1D, E1E, and E1F, the viewing device 10 having the viewing device id = 1 saw the digital contents provided by the providers belonging to the service groups B, C, D, E, and F, respectively. The viewing times T_B_1, T_C_1, T_D_1, T_E_1, and T_F_1 are shown. Further, ENrA, ENrB, ENrC, ENrD, ENrE, and ENrF are digital contents provided by providers belonging to service groups A, B, C, D, E, and F of the viewing device 10 having the viewing device id = Nr, respectively. It shows the viewing time T_B_Nr, T_C_Nr, T_D_Nr, T_E_Nr, and T_F_Nr that were viewed.

By the above procedure, it is possible to know the usage degree of each service category in which the providers of the digital contents viewed by the viewing device 10 are categorized. Depending on the degree of use obtained by the present 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, effective use of information (service identification information, etc.) regarding the usage status of services provided by a method different from broadcasting can be effectively used. It will be possible.

For information such as service identification information, it is not preferable for a service provider to have another competitor grasp the specific usage status of the company's service, and the specific service name and service identification information are specified. In general, it is often required to conclude a contract that does not allow disclosure to a third party. As a result, there is a problem that it is difficult to effectively use it for marketing measures as it is, but according to this embodiment, it is possible to know information on 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 standard used in the analysis is shown.

The lift value is the "viewing time of digital content by the viewing device 10" for each service group g with respect to the viewing device 10 of the viewing device group R0, and "all viewing devices that viewed the digital content of g in the viewing device group R0". It is calculated as a value divided by "the average viewing time of 10 g of digital content". The lift value is an index indicating how many times each viewing device 10 is viewing with respect to the average viewing time.

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

Category correspondence 404 shows the definition of each lift value category line by line when the lift value is used as the utilization. The "usage category" is a number (referred to as a category value) assigned to the defined category. For example, when the category value is 0, it indicates that "the lift value is 0". When the category values are 1, 2, 3, and 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. ”“ The lift value is 2.0 or more. ”.

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

FIG. 13 is an example of displaying the analysis result by the data processing device according to the second embodiment, and the analysis result 403 of the lift value category obtained above is further processed, for example, the display unit of the data processing device 40. An example displayed in 41 is shown.

The display unit 41 displays the graph 4051 and the graph legend explanation 4052 as the result display 405. Graph 4051 counts and counts 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. This will be described in detail. Let the number of viewing devices of the service group g counted for each lift value category value 0, 1, 2, 3, 4 be N0g, N1g, N2g, N3g, and N4g, respectively. The viewing device ratios for each lift value category value in the 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 Graph 4051, the service group is set as an item on the horizontal axis, and the ratio of viewing devices (% display) is shown on the vertical axis. The viewing status of each service group can be easily understood from the analysis result visualized as shown in Graph 4051. For example, by providing the analysis result to an agency or an advertiser, the agency or the advertiser is used to select a digital content provider for which a business request is to be made. Here, since the agency or the advertiser obtains the information for each service group instead of the information of the individual provider, the individual information of the provider is not provided to the agency or the advertiser.

By the above procedure, it is possible to know the lift value and the distribution of the lift value, which are the usage degrees for each service category in which the providers of the digital contents viewed by the viewing device 10 are categorized.
(Modification example 1)
In the above-described embodiment, an example in which the service group shown in FIG. 10 is used has been shown, but in this modified example, a digital broadcasting broadcasting station (digital content providing business) is used as a new service group. The case of categorizing (corresponding to a person) into affiliated stations is described.

Broadcasting stations of digital broadcasting nationwide can be classified into several categories in the category of affiliated stations, and broadcasting stations belonging to the same affiliated station are called affiliated stations. Here, the broadcasting station 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, a category using a series of series A, series B, series C, and other D is 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 showing an example of the correspondence of categories for each service group used by the data processing device according to the modified example.
The user defines the category of the service group category 406 and specifies the side belonging to the service group. Specifically, the series A is a service group A, the series B is a service group B, the series C is a service group C, and the other D is a service group D. The digital content service provider "Service ID (Sid) belonging to the category" is linked to each service group created. 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 processed according to FIG. 7 using the correspondence relationship of FIG. 14 (however, in step S2, “category 2” was selected for the “service category type”), and the viewing device 10 watched. It is possible to know the usage level of each service category in which digital content service providers are categorized by "affiliation".
It is also possible to create a service group by defining the category as "service provider (Sid itself)". In this case, one Side is associated with each service group. It is also possible to create a service group by defining various categories such as "genre of digital contents (music, sports, drama, etc.)".

According to at least one embodiment described above, the viewing status of the digital content can be analyzed in consideration of the service identification information without specifying the service identification information of the digital content according to the usage degree obtained by the present embodiment. A history analysis device, a viewing history analysis method, and a program can be provided.

In the above-described embodiments and modifications, an example of dividing Sid, which is an identification number of a service provider, into service groups has been shown. However, as service identification information other than Sid, for example, application information (application id) has been shown. Etc.), or for the service provider, information such as the service content provider (provider) and the service platform provider can be used separately. By doing so, it is possible to analyze the viewing status of the digital content in consideration of the service identification information in more detail without specifying the service identification information of the digital content.

The condition parameters displayed on the analysis screen shown in the drawings, the options for them, the values, the names, definitions, types, etc. of the evaluation indexes are shown as examples in the present embodiment, and are shown in the present embodiment. It is not limited to what is shown.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof. Furthermore, in each of the constituent elements of the claim, even if the constituent elements are divided and expressed, a plurality of the constituent elements are expressed together, or a combination thereof is expressed, it is within the scope of the present invention. Further, a plurality of embodiments may be combined, and examples composed of these combinations are also within the scope of the invention.

Further, in order to clarify the explanation, the drawings may be schematically represented by the width, thickness, shape, etc. of each part as compared with the actual embodiment. In the block diagram, data and signals may be exchanged between blocks that are not connected, or even if they are connected but in a direction in which an arrow is not shown. The processing shown in the flowchart may be realized by hardware (IC chip or the like) or software (program or the like) or a combination of hardware and software. Further, the apparatus of the present invention is applied even when the claim is expressed as a control logic, when it is expressed as a program including an instruction for executing a computer, and when it is expressed as a computer-readable recording medium in which the instruction is described. is there. Further, 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 contents and the same purpose.

10A ... Viewing device, 20A ... Content server device, 30 ... Data collection device, 40 ... Data processing device, 41 ... Display unit, 42 ... Interface unit, 43 ... Control unit, 44 ... Communication unit, 45 ... Extraction unit, 46 ... Analysis unit, 47 ... storage unit, 50 ... network.

Claims (10)

A data collection means that collects viewing device data including the viewing history of digital content viewed by the receiving device, and
A data analysis means for analyzing the viewing device data and
The viewing device data includes service identification information of the viewed digital content.
The data analysis means is a viewing history analysis device that analyzes the viewing device data for each service group by using the correspondence relationship between the service identification information and the service group and the service identification information of the viewing device data. The viewing device data includes an individual identification number that individually identifies the receiving device.
The viewing history analysis device according to claim 1, wherein the data analysis means analyzes the viewing device data for each receiving device specified by the individual identification number. The service identification information of the viewing device data is business identification information that identifies a business operator that identifies a digital content provider, and is
The viewing history analysis device according to claim 2, wherein the data analysis means analyzes the viewing device data for each service group by using the correspondence between the business identification information and the digital content provider. 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 contents shared with the receiving device. The viewing history analysis device according to claim 3, wherein the service group is arbitrarily determined by the user. The viewing history analysis device according to claim 5, wherein the data analysis means obtains viewing time by the analysis. By the analysis, the data analysis means obtains the average viewing time of the digital content of the service group by the first receiving device in which the viewing time of the digital content is not 0 for each service group.
6. Claim 6 for each service group, a lift value obtained by dividing the viewing time by the second receiving device to be analyzed by the average viewing time for each service group is obtained for each second receiving device. The viewing history analysis device described in. The viewing history analysis device according to claim 7, wherein the data analysis means obtains category values corresponding to categories pre-classified according to the magnitude of the lift value. A viewing history analysis method that collects viewing device data including viewing history of digital content viewed by a receiving device and analyzes the viewing device data.
The viewing device data includes service identification information of the viewed digital content.
A viewing history analysis method for analyzing the viewing device data for each service group using the correspondence relationship between the service identification information and the service group and the service identification information of the viewing device data. A program in which a computer collects viewing device data including viewing history of digital contents viewed by a receiving device and analyzes the viewing device data.
The viewing device data includes service identification information of the viewed digital content.
A program that analyzes the viewing device data for each service group using the correspondence relationship between the service identification information and the service group and the service identification information of the viewing device data.

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