JP6613385B1 - Data processing apparatus and data processing method - Google Patents

Abstract

[PROBLEMS] To identify the media contact status of a survey subject based on the trend of the survey subject. A computer obtains first data for identifying a subject to be contacted with transmitted information transmitted by media and a contact history to the transmitted information, and the computer targets the Web. The second data for identifying the survey target person who uses the content and the usage history of the target Web content is acquired, and the computer uses the target Web content usage history based on the first data and the second data. Among the survey subjects who satisfy the setting condition, a value corresponding to the number of survey subjects who contacted the transmitted information is calculated. [Selection] Figure 5

Description

  The present invention relates to a data processing apparatus and a data processing method for processing data relating to a plurality of survey subjects, and in particular, data relating to a contact history of transmitted information transmitted on a medium and data relating to a usage history of a Web content. And a data processing method.

  In order to effectively place advertisements through media such as television and radio, it is important to calculate an evaluation value (for example, viewing time of television) related to the media contact status in association with the attribute of the media contact person. A plurality of techniques for specifying the evaluation value of the media contact status in association with the attribute of each person have been developed so far, and an example thereof is the technique described in Patent Document 1.

  Patent Document 1 discloses a technique for recording the audience rating of a television program for each viewer attribute. Further, according to Patent Document 1, the audience rating according to the interest category of the viewer may be recorded, for example, the audience rating of the viewer interested in the car may be recorded. It has become.

  As described above, if the media contact status (in Japanese Patent Application Laid-Open No. H10-260260) is specified in association with each person's interest, it becomes a candidate for the destination when deciding on a destination for an advertisement of a certain product. You can make decisions based on the interests and contact status of the media contacts. Thereby, since an advertisement of a certain product can be efficiently directed to an appropriate target, a good advertising effect can be obtained for a certain product.

JP 2017-54436 A

  By the way, when considering advertisements using the media, in order to find a place where a good advertising effect can be obtained, it is necessary to correlate with people's trends (behavior and consciousness trends) and potential interests in the media. It is required to specify the contact situation. On the other hand, even if the interests are directly questioned by a questionnaire survey or the like, it is difficult to grasp the trends and potential interests of the subject.

  Moreover, if the number of questions is increased for the purpose of grasping the trends and potential interests of the survey target person, the burden of answering for the survey target person increases.

Then, this invention is made | formed in view of said situation, and makes it a subject to solve the objective shown below.
More specifically, the present invention solves the above-mentioned problems of the prior art, and a data processing apparatus and data processing capable of specifying the contact state of the survey subject with the media based on the trend of the survey subject It aims to provide a method.

In order to achieve the above object, a data processing device of the present invention is a data processing device for processing data relating to a plurality of survey subjects, and the survey subject who has contacted the transmitted information transmitted by the media , And a first data acquisition unit for acquiring first data for specifying a contact history for the transmitted information, a target person who uses the target Web content, and a use history of the Web content A second data acquisition unit for acquiring second data to be transmitted, and based on the first data and the second data, the transmitted information among the survey subjects whose usage history of the Web content satisfies a setting condition A calculation unit that calculates a value according to the number of the persons to be surveyed who contacted the first data acquisition unit by the first data acquisition unit, the second data acquisition unit Acquisition of the second data by, and during the period calculation is given the value by the calculation unit, characterized in that it is repeated at a time set.

In the data processing apparatus of the present invention configured as described above, the number of persons in contact with information (transmitted information) transmitted on the media among the survey target persons whose usage history of the target Web content satisfies the setting condition A value corresponding to is calculated. Here, the usage history of the target Web content reflects the trend of the survey target person, including the potential interest of the survey target person. Further, the above-mentioned value calculated by the data processing apparatus of the present invention is one index representing the media contact status (strictly speaking, the status of contact with the transmitted information transmitted by the media).
Therefore, according to the data processing device of the present invention described above, it is possible to specify the media contact status of the survey target person based on the trend of the survey target person.

In the data processing apparatus, the second data acquisition unit communicates the second data by communicating with a server that distributes the Web content or a device used by the survey target person when using the Web content. Acquiring is even better.
In the above configuration, the second data indicating the usage history of the Web content is acquired almost simultaneously with the use of the Web content (in real time) through data communication with the server or device. Such a configuration is more advantageous than investigating the interest of the survey subject by a general questionnaire survey or the like.
More specifically, although it is possible to grasp the interest of the survey subject at the time of the survey in the questionnaire survey, it is difficult to grasp the interest at the time when the time has passed since the survey was performed.
On the other hand, in the above configuration, it is possible to sequentially grasp the usage history of the Web content of the survey target person. As a result, it is possible to identify the contact status of the survey subject with the media based on the latest trends of the survey subject.

Further, in the data processing device, the first data acquisition unit is configured to identify the survey subject who has contacted broadcast information broadcast on broadcast media, and the first history for identifying a history of contact with the broadcast information. It is preferable to acquire data.
According to said structure, it becomes possible to identify the contact condition of the survey subject to the broadcast information broadcast on broadcast media based on the trend of the survey subject.

Further, in the data processing device, the first data acquisition unit is configured to identify the surveyed person who has viewed broadcast information broadcast on a television and the viewing history of the broadcast information. The data is acquired, and the calculation unit, based on the first data and the second data, the survey target who has viewed the broadcast information among the survey target persons whose usage history of the Web content satisfies the setting condition It is more preferable to calculate the audience rating according to the number of persons.
According to the above configuration, it is possible to calculate the audience rating according to the number of survey target people who have watched broadcast information broadcast on a television in association with the usage history of Web content reflecting the survey target person's trend. It becomes possible.

In the data processing apparatus, it is more preferable that the calculation unit calculates the audience rating for each preset time frame.
In said structure, the audience rating mentioned above is specified for every time frame. Thereby, for example, since it is possible to easily identify the time frame in which the audience rating for the survey target person interested in a certain product is the highest, if the advertisement of the product is broadcast using the time frame, A good advertising effect can be obtained.

In the data processing apparatus, the first data is an IP address used by the survey subject who has contacted the transmitted information as data for specifying the survey subject who has contacted the transmitted information. The second data includes data indicating an IP address used by the survey subject who uses the Web content, or advertisement as data for specifying the survey subject who uses the Web content. It is good to include the data linked | related with an identifier or Cookie information.
In the above configuration, the combination of the contact history and the web content use history to the transmitted information corresponding to the same IP address is handled as data related to the same survey target person. This makes it possible to appropriately identify the contact history of the transmitted information and the usage history of the target Web content for each survey target person.

In the above data processing apparatus, the setting conditions include whether or not the web content is browsed, whether or not a specific product is purchased through the web content, the content of the search through the web content, and the web content service It is preferable that the condition is related to at least one of the contents of the information registered for using.
In the above configuration, it is possible to set appropriate conditions for grasping the trend of the survey target person with respect to the usage history of the target Web content. As a result, the effect of the present invention of specifying the contact status of the survey subject with the media based on the trend of the survey subject is more effectively exhibited.

In the data processing apparatus, it is preferable that the calculation unit repeatedly calculates the value with a set time interval.
Among the survey subjects who satisfy the setting conditions of the usage history of the target Web content, the value according to the number of people who have contacted the transmitted information transmitted by the media changes when the content usage history of each survey subject changes. It can change in conjunction with it. With the above configuration, the above value is repeatedly calculated with a time interval, so that the value after the change can be obtained appropriately.

In order to solve the above-mentioned problem, the data processing method of the present invention is a data processing method for processing data relating to a plurality of survey subjects by a computer, and the computer receives transmitted information via a medium. a step of acquiring the respondent in contact, and the first data for identifying a contact history for the object to be transmitted information to the computer, the surveyed using Web content of interest, and the Web A step of acquiring second data for specifying a content usage history, and a computer based on the first data and the second data, wherein the Web content usage history satisfies a set condition among the survey subjects And a step of calculating a value according to the number of survey subjects who have contacted the transmitted information, and acquiring the first data Step, in the process to obtain the second data, and duration steps of predetermined for calculating the value, which comprises carrying out repeatedly at a set time.
According to the above method, it becomes possible to identify the media contact status of the survey subject (strictly speaking, the status of contact with the transmitted information transmitted by the media) based on the trend of the survey subject. .

  According to the present invention, it is possible to specify the media contact status of the survey target person (strictly speaking, the status of contact with the transmitted information transmitted by the media) based on the trend of the survey target user. As a result, for example, for media that are candidates for advertisement placement, it is possible to grasp the contact status of each survey subject in relation to the trend of each survey subject, and as a result, an appropriate destination can be determined. It becomes possible.

It is a figure which shows the data processor and related apparatus which concern on one Embodiment of this invention. It is a block diagram which shows each function part of the data processor which concerns on one Embodiment of this invention. It is a figure which shows the value calculated by the calculation part. It is explanatory drawing about the effect of this invention. It is a figure which shows the flow of the data processing method which concerns on one Embodiment of this invention.

The data processing apparatus and data processing method of the present invention will be described in detail below with reference to preferred embodiments shown in the accompanying drawings.
The embodiment described below is merely an example given for easy understanding of the present invention, and does not limit the present invention. That is, the present invention can be modified or improved from the embodiments described below without departing from the spirit of the present invention. Of course, the present invention includes equivalents thereof.

  In addition, in this specification, the “device” refers to a single device that exhibits a specific function alone, or a plurality of devices that cooperate to exhibit a specific function even though they are distributed. Is also included.

  In the following description, “person” and “person” include not only individuals but also groups or organizations (for example, households) to which the individuals belong.

  In the following description, “media” means an information transmission medium (mass media), and specifically includes print media such as newspapers and magazines, and broadcast media. Here, examples of the “broadcast media” include television (including Internet television), radio (including IP simulcast), and the like.

  In the following description, “broadcast information” means information broadcast on the above-described broadcast media, and corresponds to, for example, programs and advertisements broadcast on television or radio, and information combining these. Here, the “program” is broadcast information (content) broadcast in a predetermined program frame. “Advertisement” is broadcast information for promotion broadcast in an advertising space purchased by an advertiser.

  In the following description, “Web content” means information (content) provided and distributed on the Web, and corresponds to, for example, a Web site and a Web advertisement. Web content includes an electronic commerce (EC) site and a search site. The Web content also includes a social network service (SNS) website.

  In the following description, “target” means a classification category set according to the attribute of the media contact person. Attributes include, for example, demographic attributes such as gender, age, annual income and occupation (demographic); interests and preferences for products / services, values, lifestyle (lifestyle), psychology such as web usage And psychological attributes (psychographic). Among psychological attributes, “Web usage behavior” is an attribute determined according to the above-described usage history of Web content. The Web content usage history will be described in detail later.

<< Outline of Data Processing Device >>
First, an outline of a data processing apparatus (hereinafter, data processing apparatus 10) according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is a diagram illustrating a data processing apparatus 10 and related devices. The data processing device 10 is a device that processes data related to a plurality of survey subjects.

Here, the survey target person is a person (monitor) selected by random sampling or application for the purpose of conducting a survey on the contact status with the media and the usage status of the Web content. In addition, all the survey subjects are Web users. During the survey period, various types of data are generated as needed along with the behavior of the survey target person (mainly media contact behavior and web usage behavior) and processed by the data processing device 10.
The number of survey subjects can be set to an arbitrary number of 2 or more as long as the number is sufficient for obtaining a satisfactory survey result.

  The data processed by the data processing device 10 includes two types of data. The first type of data is first data for specifying the survey subject who has contacted the transmitted information transmitted by the media and the contact history of the transmitted information. Here, “transmitted information” corresponds to information posted on the media or information broadcast on the media.

Hereinafter, a television (broadcast media) will be specifically described as an example of media. That is, in the following, data for specifying the survey target who has watched TV broadcast information (specifically, TV programs and TV commercials) and the viewing history (viewing log) for the broadcast information are first described. It will be explained assuming the case of handling as data.
However, the contents described below can be applied to media other than television, for example, radio, or print media such as newspapers or magazines. In other words, the present invention can be implemented even when the first data is data related to the contact status with the transmitted information transmitted by media other than the television.

  The second type of data is second data for specifying the survey target person who uses the target Web content and the usage history of the Web content. Here, the “target Web content” is Web content specified by the survey operator or the survey requester at the time of the survey, for example, a Web on which articles related to products sold by the company that is the survey requester are posted. This corresponds to a site or an EC site where the product can be purchased. Furthermore, a “search Web site” includes a search site used when searching for articles related to the product and an SNS site for posting related to the product. Furthermore, Web content that is a provider of a member service that can be used only by registered members is also included in “target Web content”. Hereinafter, the target Web content is referred to as “target content”.

  By processing the above two types of data by the data processing device 10, the viewing status of each TV program and each TV commercial, etc., specifically the target for the survey subject belonging to the target corresponding to a certain Web usage action, specifically, the target The audience rating can be specified. Here, the “target audience rating” is an audience rating determined according to the number of survey subjects who watched TV programs, TV commercials, etc. among survey subjects belonging to the target.

  Incidentally, the Web usage behavior is an attribute determined according to the usage history of the Web content of the survey target person as described above. In addition, the usage history of the Web content includes the presence / absence and number of times of browsing the Web content, the presence / absence of purchase of a specific product (for example, a product sold by the survey requesting company), and the content of the search through the Web content. And the contents of information (site member information) registered for using a Web content service (hereinafter referred to as Web service). Web services include services provided by application programs that can be downloaded through Web content.

<< About data acquisition environment >>
Next, an environment in which the data processing apparatus 10 acquires the various data described above will be described. The data processing apparatus 10 acquires the above data from each survey subject through the Internet. More specifically, each survey subject has a television receiver 51 at home. The television receiver 51 of each survey subject is connected to the Internet via a router 52 installed in the survey subject's house.

  When each survey target person views a television program, a television commercial, or the like at home, the first data (specifically, viewing log data described later) is transmitted from the television receiver 51. The data processing device 10 receives the first data via the Internet (in the case of FIG. 1, further via the television station server 20).

  Each survey subject operates a communication device 53 such as a personal computer or a smartphone when using the target content at home. Each survey subject's device 53 is connected to the Internet via a router 52.

  Then, when each survey target person uses the target content at home, the above-described second data (specifically, usage log data described later) is transmitted based on the operation of the device 53. The data processing apparatus 10 receives the second data via the Internet (in the case of FIG. 1, from the content distribution servers 30 and 40).

  Incidentally, the data processing apparatus 10 stores registration information of each survey subject. More specifically, the data processing device 10 stores the name, age, sex, family structure, address, and other statistical attributes (demographic) of each survey subject. This information can be obtained by making each survey subject fill out the entry form or inputting it on the Web input form at the time of the survey, and the information obtained by the survey operator is input through a predetermined input device. As a result, the data is recorded in the data processing apparatus 10.

  Further, the data processing apparatus 10 stores the IP address assigned to the router 52 installed at the home of each survey subject for each survey subject. Information regarding the IP address can be obtained, for example, when each survey subject operates the device 53 to access a predetermined website (web site dedicated to the survey subject) during the survey. The information is recorded in the data processing apparatus 10 in association with the name or ID (identification information) of the survey subject.

<< Configuration of Data Processing Device >>
Next, the configuration of the data processing device 10 will be described. The data processing apparatus 10 is configured by, for example, a computer (strictly, a server computer) owned by an audience rating survey company. In the case illustrated in FIG. 1, the data processing apparatus 10 is configured by a single computer, but is not limited thereto, and may be configured by a plurality of computers.

  The data processing apparatus 10 is a CPU, a memory such as a ROM and a RAM, a communication interface, a hard disk drive, an input device such as a keyboard and a mouse, and an output device such as a display and a printer, as in a general server computer. And having. In addition, a computer program (hereinafter referred to as a data processing program) for exhibiting functions as the data processing device 10 is installed in the server computer constituting the data processing device 10.

  Further, as shown in FIG. 1, the data processing apparatus 10 can communicate with a television station server 20 and content distribution servers 30 and 40 via the Internet.

  The television station server 20 is a server computer used by the television station, communicates with the television receivers 51 of each survey subject through the Internet, and receives viewing log data from the television receivers 51 of each survey subject. For example, the television station transmits video data indicating broadcast information (such as a television program and a television commercial) by superimposing predetermined control data (such as a tag in a BML (Broadcast Markup Language) format).

In FIG. 1, only one TV station server 20 is shown. However, when there are a plurality of TV stations, each TV station individually has the TV station server 20. The TV station may provide a service (so-called hybrid cast) in which Internet communication is linked to TV broadcasting.
Incidentally, in the following, for the sake of easy understanding, the description will be made on the assumption that the number of TV stations is only one and only one TV station server 20 is provided.

  The viewing log data is generated by the television receiver 51 when the television receiver 51 receives the video data transmitted from the television station and develops the video data. That is, the viewing log data is data indicating the viewing history of the survey target person who viewed the television program, the television commercial or the like with the television receiver 51, and corresponds to the first data described above.

  The viewing log data is transmitted from the television receiver 51 at regular intervals (for example, every minute) during the period in which the television receiver 51 receives video data while the power is on at the home of each survey subject. The viewing log data transmitted from the television receiver 51 is received by the television station server 20 via the Internet via the router 52 and is sequentially stored in the television station server 20.

  Then, the television station server 20 provides the received viewing log data to the data processing device 10. The data processing apparatus 10 acquires (receives) viewing log data through the Internet. The provision of the viewing log data from the television station server 20 to the data processing device 10 may be performed every time the television station server 20 receives the viewing log data, or the viewing log for one hour or one day. Data may be provided together.

  The viewing log data will be described in detail. The viewing log data is data for identifying the surveyed person who has watched the broadcast information broadcast by the TV station and the viewing history of the broadcast information (that is, the contact history to the broadcast information). It is.

  More specifically, the viewing log data includes data indicating an IP address assigned to the router 52 used at the time of viewing log data transmission, viewing time when viewing broadcast information, and the like. Here, the IP address indicated by the viewing log data corresponds to the IP address used by the survey target person who viewed the broadcast information, and is information for uniquely identifying the survey target who is the transmission source of the viewing log data. . The viewing time indicated by the viewing log data is information for identifying the history (viewing history) that the survey target person who is the transmission source of the viewing log data viewed the broadcast information.

  Incidentally, in the configuration shown in FIG. 1, the data processing device 10 is supposed to acquire the viewing log data from the television station server 20, but the present invention is not limited to this. Viewing log data may be obtained from the above-mentioned obtaining route.

  The content distribution servers 30 and 40 are server computers that distribute target content when there is a distribution request from the device 53 of each survey target person. In the configuration of FIG. 1, two content distribution servers 30 and 40 are illustrated, but one content distribution server 30 distributes display data of a predetermined Web site toward the device 53. The other content distribution server 40 distributes EC site display data to the device 53 and, when the survey target person performs a purchase operation of a specific product through the device 53, communicates with the device 53 for purchase procedure. Data processing is executed.

  Although only two content distribution servers 30 and 40 are shown in FIG. 1, it is understood that the number of content distribution servers can be freely set, and the websites and Web advertisements set as target contents can be freely set. An appropriate number of content distribution servers may be provided according to the number and type.

  Further, when the content distribution servers 30 and 40 distribute the target content to the device 53 of the usage destination (in other words, when the Web content targeted by a certain survey target person is used on the device 53). , Generate usage log data. In other words, the usage log data is data indicating a usage history of the target person using the target content on the device 53, and corresponds to the second data described above.

  Then, the content distribution servers 30 and 40 provide the generated usage log data to the data processing apparatus 10. The data processing apparatus 10 acquires (receives) usage log data through the Internet. The provision of the usage log data from the content distribution servers 30 and 40 to the data processing device 10 is performed every time the usage log data is generated (in other words, every time the target person uses the target content). Alternatively, usage log data for one hour or one day may be provided together.

  The usage log data will be described in detail. The usage log data is data for specifying a survey target person who uses the target content and a usage history of the target content.

  More specifically, the usage log data includes data indicating an IP address assigned to the router 52 used when the target content is used, a URL (Uniform Resource Locator) of the used target content, a usage date and time, and the like. Yes. Further, when the target content used is an EC site and a specific product is purchased on the EC site, the usage log data includes data indicating the purchase history. In addition, when the target content used is a search site and a search is performed on the search site, data indicating the search history is included in the use log data. In addition, when the target content used is a member service, and information related to the user (member applicant) is registered when using the member service, data indicating the contents of the registered information is used log data. include.

  Here, the IP address indicated by the usage log data corresponds to the IP address used by the survey subject who uses the target content, and is information for uniquely identifying the survey subject who is the transmission source of the usage log data. . Further, the URL of the target content indicated by the usage log data is information for specifying a Web site browsed as the target content by the survey target person who is the transmission source of the usage log data.

  The usage date and time indicated by the usage log data is information for specifying the number of times that the survey target person who is the transmission source of the usage log data has used the target content. In other words, for example, when a certain survey target person uses the same target content at different dates and times, the number of times that a certain survey target person uses the target content can be determined by specifying each use date and time from the usage log data. Identified.

  The purchase history of the specific product indicated by the usage log data is information for specifying the product name, the number of purchases, etc. of the specific product purchased through the EC site as the target content by the survey subject who is the transmission source of the usage log data. It is. The search history indicated by the usage log data is information for specifying the content of a search performed through the search site as the target content by the survey subject who is the transmission source of the usage log data. Further, the registration information indicated by the usage log data is information for specifying the contents registered by the survey subject who is the transmission source of the usage log data to use the member service as the target content.

  As described above, the usage log data is data for specifying the usage history of the target content. Specifically, whether or not the target content is viewed, the number of times the target content is used, and the purchase of a specific product through the target content. The presence / absence, the content of the search through the target content, the content of the information registered for using the target content, and the like can be specified from the usage log data.

  The various types of information related to the target content described above reflect the trends (specifically, behavior and consciousness trends and potential interests) of the survey target person at that time. For example, for a surveyed person who has browsed a website for moving, the person is interested in moving at the time of browsing, and is scheduled to move soon, and purchases home appliances etc. as he moves Probable. Moreover, about the survey subject who purchased the lotion at EC site, the person is interested in the lotion at the time of purchase, and it is thought that there is a prospect of the purchase of the lotion in the future. In addition, the surveyed person who searched for the new product “alcoholic beverage G” on the search site is interested in “alcoholic beverage G” at the time of the search, and is likely to purchase the product. It is believed that there is. In addition, the surveyed person who registered as a member to use a certain member service is interested in the posted information (contents) of the member service at the time of membership registration. Is likely to use the posted information.

  Incidentally, in the configuration shown in FIG. 1, the data processing apparatus 10 is supposed to acquire usage log data from the content distribution servers 30 and 40. However, the present invention is not limited to this, and the survey using the target content is performed. Usage log data may be transmitted from the device 53 of the subject person to the data processing apparatus 10. That is, the data processing apparatus 10 may acquire the use log data as the second data by communicating with the device 53 used by the survey target person when using the target content. Note that the usage log data in this case includes, for example, data linked directly or indirectly to the advertisement identifier or the cookie information. Here, the advertisement identifier is identification information of the device 53 used by the survey target person when the target content is used, and is mainly used for advertisement. Cookie information is browser identification information used when the target content is used. In addition, as data associated with the advertisement identifier or cookie information, specifically, information related to contact (use) to the target content (usage time and number of times used), or the terminal side of the survey target person (monitor) Corresponds to the profile information of the surveyed person (monitor) who has been acquired through a questionnaire or the like in the case where the cookie information is stored.

<< About the functions of the data processing device >>
Next, the configuration of the data processing apparatus 10 described above will be described again from the functional aspect with reference to FIG. FIG. 2 is a block diagram illustrating each functional unit of the data processing apparatus 10.

  As shown in FIG. 2, the data processing apparatus 10 includes a plurality of functional units, specifically, a first data acquisition unit 11, a second data acquisition unit 12, a calculation unit 13, an output unit 14, and a storage unit 15. These functional units are realized by a hardware device of a computer (server computer) constituting the data processing apparatus 10 cooperating with the above-described data processing program as software.

  The first data acquisition unit 11 acquires viewing log data as first data from the television station server 20 by communicating with the television station server 20 through the Internet. The viewing log data is assigned to the router 52 in the survey subject's home as the data for identifying the survey subject who has watched the broadcast information on the television. IP address) is included.

  The first data acquisition unit 11 stores the acquired viewing log data in the storage unit 15 for each IP address indicated by the data.

  The second data acquisition unit 12 acquires usage log data as second data from the content distribution servers 30 and 40 by communicating with the content distribution servers 30 and 40 through the Internet. The usage log data is an IP address used by the survey subject as data for identifying the survey subject who uses the target content (more precisely, the IP assigned to the router 52 at the survey subject's home). Address).

  The second data acquisition unit 12 stores the acquired usage log data in the storage unit 15 for each IP address indicated by the data.

  Based on the viewing log data as the first data and the usage log data as the second data, the calculation unit 13 selects the TV broadcast information (the TV program and the TV among the survey target persons whose usage history of the target content satisfies the setting condition. Calculate the value according to the number of people surveyed who watched commercials.

  More specifically, the calculation unit 13 extracts the usage log data of the survey target person whose usage history of the target content satisfies the setting condition from the usage log data stored in the storage unit 15. Here, the setting conditions are conditions set for the purpose of categorizing the above-mentioned Web usage behavior, whether or not the target content is browsed, whether or not a specific product is purchased through the target content, and the content of the search through the target content The condition regarding at least one of the contents of the information registered for using the target content.

  As conditions regarding “presence / absence of browsing of target content”, for example, “having browsed (or never browsed) a predetermined website”, “viewed a predetermined website within a certain period”, And a condition such as “the number of times a predetermined Web site has been browsed is equal to or more than a prescribed number”.

  Conditions regarding “whether or not a specific product is purchased through the target content” include, for example, “has purchased (or never purchased) a predetermined product through the EC site”, and “through the EC site within a certain period of time” For example, there are conditions such as “purchased a predetermined product” and “the number of purchases of a predetermined product through the EC site is equal to or greater than a prescribed number”.

Examples of the condition regarding “the contents of the search through the target content” include a condition such as “has searched a predetermined keyword (for example, a product name) through the search site”.
Examples of the condition regarding “content of information registered for using target content” include a condition such as “registered predetermined information for using a certain member service”.

Note that the setting condition is not limited to the case where only one is set, and a plurality of conditions may be used in combination.
In the following, a group of survey subjects who satisfy the setting condition of the usage history of the target content is referred to as a “condition target”. Incidentally, the condition target may be one in which the usage history of the target content satisfies the setting condition and attributes (demographic) such as sex and age are limited.

  Returning to the procedure of value calculation by the calculation unit 13, the calculation unit 13 extracts the viewing log data of the survey subject belonging to the condition target from the viewing log data stored in the storage unit 15. More specifically, the calculation unit 13 extracts viewing log data indicating an IP address that matches the IP address indicated by the extracted usage log data of the target corresponding to the condition. In other words, the calculation unit 13 regards the viewing log data and the usage log data having the same IP address as the same survey target person data, and uses the IP address as a clue to search the viewing log data of the survey target person belonging to the condition target. Extract.

  Note that the method of extracting the viewing log data of the survey subject belonging to the condition target is not limited to the method of extracting using the IP address as a clue. In other words, the data for specifying the survey target person who has watched the broadcast information on the television and the data for specifying the survey target person who used the target content are not limited to the IP address, but other data. Also good. For example, at the time of survey, device identification data is registered in advance for each of the television receiver 51 and the device 53 of each survey subject, and the correspondence relationship is stored in the storage unit 15 of the data processing device 10. Then, based on the device identification data and the correspondence relationship described above, the television receiver 51 corresponding to the device 53 used by the survey target person belonging to the condition target is identified, and the viewing log data received from the identified television receiver 51 is obtained. If extracted, the viewing log data of the survey subject belonging to the condition target can be extracted.

  After that, the calculation unit 13 calculates the audience rating (target audience rating) according to the number of the audiences who watched the television broadcast information among the audiences belonging to the condition target based on the extracted viewing log data. To do. Moreover, the calculation unit 13 calculates the target audience rating for each preset time frame.

  More specifically, in the present embodiment, a time frame is set by dividing a range of a predetermined time zone (for example, 5:00 to 29:00) in units of one hour for each day of the week. And the calculation part 13 specifies the number of the survey subject who watched the broadcast information of television among the survey subjects who belong to a condition applicable target about each time frame.

  More specifically, the calculation unit 13 specifies, for each survey target person related to the extracted viewing log data, whether or not television viewing is performed in each time frame from the viewing time indicated by the data. Thus, for each time frame, the number of survey target persons (hereinafter referred to as condition target target TV viewers) who have watched television broadcast information among the target persons belonging to the condition target is specified. In addition, the calculation unit 13 specifies the number of TV viewing minutes in each time frame based on the extracted viewing log data for each target target TV viewer.

And the calculation part 13 calculates a target audience rating by following Formula (1) and (2) about each time frame.
S = S1 + S2 + S3 +... Sn (1)
T = S / (60 × m) × 100 (2)

  In the above formulas (1) and (2), m is the number of survey subjects belonging to the conditional target, and n is the number of television viewers of the conditional target. Further, Si is the number of TV viewing minutes in a certain time frame of the i-th (i = 1 to n) TV viewers among the target target TV viewers. T is a target audience rating in a certain time frame.

  With the above procedure, as shown in FIG. 3, the target audience rating calculation result is obtained for each time frame. FIG. 3 is a diagram (strictly speaking, a heat map) showing the target audience rating in each time frame calculated by the calculation unit 13. Note that each column illustrated in FIG. 3 corresponds to a time frame, and a numerical value in each column indicates a calculation result of the target audience rating.

  Incidentally, in the present embodiment, as described above, the time frame is set in increments of 1 hour, but the present invention is not limited to this. For example, a broadcast time frame (that is, a program frame) set in advance for a program broadcast on a television (television program) may be set as the time frame.

  The output unit 14 visualizes the target audience rating of each time frame calculated by the calculation unit 13 as shown in FIG. 3, and outputs it to the user (for example, survey requester) of the survey result. As an output method, a method of transmitting the data (specifically, the table data shown in FIG. 3) by visualizing the calculation result of the calculation unit 13 to the user of the survey result by mail or the like, or A method of printing with a printer or the like for the purpose of presenting the survey results to the user is mentioned.

  Users of the survey results should find out the time frame most viewed by the target target by checking the target audience rating for each time frame output, for example, consider advertising in that time frame Can do. For example, if the user of the survey results is a cosmetic manufacturer and the target for the condition is “female who often purchases cosmetics on the EC site”, the company will be in the time frame where the target audience rating is highest. You can place advertisements for cosmetic products. In this case, since it is possible to place an advertisement of the company's cosmetics for women who are interested in cosmetics at that time and who are likely to purchase cosmetics in the future, a good advertising effect can be obtained. it can.

  As described above, according to the data processing apparatus 10, a target (conditional target) that satisfies a predetermined condition for Web usage behavior based on the fact that the trends and potential interests of the survey target are reflected in the Web usage behavior. ). Then, according to the data processing device 10, the television viewing status in the target corresponding to the condition, specifically, the target audience rating in each time frame is determined. Thereby, it becomes possible to identify the TV viewing status of the survey target person in association with the trend of the survey target person including the potential interest.

  Moreover, in this embodiment, every time each survey subject uses the target content, the usage log data indicating the usage history is acquired by the second data acquisition unit 12. Furthermore, in this embodiment, the calculation part 13 repeats a series of procedures mentioned above regularly. That is, the calculation unit 13 calculates the target audience rating for each time frame with a set time interval.

  Note that the target audience rating calculation time point can be set to an arbitrary time point, and the interval (interval) between the calculation time points may be uniform or may vary from one calculation time point to another. .

  Furthermore, the output unit 14 outputs the calculation result to the user of the survey result each time the calculation unit 13 calculates the target audience rating for each time frame.

  As described above, the user of the survey result can confirm the latest target audience rating (strictly speaking, the target audience rating at the time of the latest calculation). As a result, the user of the survey result can appropriately select a time frame to be used as, for example, an advertisement frame, taking into account that the interest of each survey subject changes with time.

  The above effect will be described below with reference to FIG. FIG. 4 is an explanatory diagram of the effect of the present invention. In the following, a case where “a woman who has not purchased cosmetics K on the EC site within the last month” is set as a condition target will be described as an example.

  At a certain calculation time (time t1 in FIG. 4), the number of survey subjects belonging to the condition target is f1. Further, as a result of calculating the target audience rating in each time frame at the time point t1, the time frames most viewed by the condition target (indicated as “most frequent viewing time frames” in FIG. 4) are time frames A and B. Suppose that In this case, if the manufacturer of the cosmetic product K uses the advertisement frames Ma and Mb in the most frequent viewing time frames A and B for the advertisement of the cosmetic product K, the manufacturer can effectively place an advertisement on the condition target.

  On the other hand, at the time when a certain amount of time has elapsed from time t1 (time t2 in FIG. 4), the number of survey subjects belonging to the condition target becomes f2, which may have changed from the number f1 at time t1. This is because the interest of the survey subject in the cosmetics (especially cosmetics K) changes with time, and the number of people belonging to the condition target may change accordingly. Similarly, at time t2, the target audience rating calculation result in each time frame may be different from the calculation result at time t1, and in this case, the most frequent viewing time frame is also as shown in FIG. Can change. In FIG. 4, the most frequent viewing time frames at time t2 are time frames A, B, and C. In this case, the advertisement frames Ma, Mb, and Mc in the time frames A, B, and C are effective as the advertisement frames for broadcasting the cosmetics K advertisement.

  At the subsequent calculation time points (time points t3 and t4 in FIG. 4), the same tendency as described above is observed, and the number of survey subjects belonging to the condition target changes, and accordingly, the target viewing in each time frame. The rate calculation result and the most frequent viewing time frame may also change. Incidentally, in the case shown in FIG. 4, at the time t3, the number of survey subjects belonging to the condition target is f3, the most frequent viewing time frame is the time frames A to D, and the effective advertising space is the time frame. It becomes advertising space Ma-Md in AD. At the time t4, the number of survey subjects belonging to the condition target is f4, the most frequent viewing time frames are the time frames A, B, and D, and the effective advertising space is within the time frames A, B, and D. Advertising spaces Ma, Mb, and Md.

  As described above, in the present embodiment, the usage log data is acquired almost simultaneously with the use of the target content (in real time), so that the usage history of the target content of the survey target person can be sequentially grasped. In addition, by regularly calculating the target audience rating in each time frame, it is possible to identify the TV viewing status of the surveyed subject while taking into account changes in the surveyed subject's trends (including potential awareness). It becomes possible. As a result, when considering where to place an ad (specifically, ad space), if the ad space is found from the most frequently viewed time frame at that time, the target (conditional target) You can hit the advertisement effectively. Further, for example, after an advertiser who is a user of the survey results purchases an advertising space within a time frame that is the most frequent viewing time frame at a certain time (time frames A and B at time t1 in FIG. 4). In other times (time points t2, t3, and t4 in FIG. 4), the most frequent viewing time frame may change. In this case, the advertiser may be able to confirm the changed most frequent viewing time frame and re-purchase the advertising space within the time frame.

  It can be said that this embodiment is more advantageous than the case where the interest of the survey subject is investigated by a general questionnaire survey or the like in that the above effect can be obtained. That is, in the questionnaire survey, although the interest of the survey subject at the time of the survey can be grasped, it is difficult to grasp the interest at the time when the time has passed since the survey was performed.

  On the other hand, in the present embodiment, as described above, since the web usage behavior of each survey subject reflecting the interest of each survey subject can be grasped in real time, It is possible to specify the viewing situation of the television based on the interest of the user.

<< Data Processing Method According to the Present Embodiment >>
Next, as an operation example of the data processing apparatus 10, a flow (hereinafter, a data processing flow) in which the data processing apparatus 10 processes data related to the survey target person will be described.

  In the data processing flow, the data processing method of the present invention is adopted. That is, the following description includes a description regarding the data processing method of the present invention, and each step in the data processing flow described below corresponds to a process constituting the data processing method of the present invention.

  In the data processing flow, the data processing apparatus 10 performs the steps shown in FIG. FIG. 5 is a diagram showing the flow of the data processing method according to the present embodiment, and is an explanatory diagram of the data processing flow.

  The flow of the data processing flow will be described in detail. In the data processing flow, first, the server computer constituting the data processing apparatus 10 acquires the viewing log data as the first data for each survey subject in the manner described above. (S001). Here, the server computer constituting the data processing apparatus 10 corresponds to a “computer” of the present invention, and will be simply referred to as a server computer below.

  In the present embodiment, as described above, the server computer acquires viewing log data by communicating with the television station server 20. Further, in the present embodiment, for a survey target person who is watching TV broadcast information (such as TV programs and TV commercials), viewing log data is generated at any time during TV viewing and generated at each viewing time. Viewing log data is sent from the television station server 20 to the server computer.

  Further, the server computer acquires the usage log data as the second data for each survey subject in the manner described above (S002). In the present embodiment, as described above, when each survey target person uses the target content, the content distribution servers 30 and 40 generate usage log data indicating the usage history, and the content distribution servers 30 and 40 use the target log data. Send log data to the server computer. The server computer acquires (receives) usage log data through the Internet.

  The server computer repeats the above-described viewing log data acquisition step S001 and usage log data acquisition step S002 as needed. For example, at the timing when each of the viewing log data and usage log data is generated, the two steps S001, S002 are performed. Among these, the corresponding process is performed. The server computer stores the acquired viewing log data and usage log data for each IP address indicated by each data.

  Thereafter, when the current time reaches a preset calculation time (S003), the server computer calculates a target audience rating in each time frame based on the viewing log data and usage log data acquired so far. (S004). In the calculation step, the server computer first extracts the usage log data of the survey subject (condition target) whose usage history of the target content satisfies the setting condition from the usage log data stored in the server computer.

  Next, the server computer extracts viewing log data indicating an IP address that matches the IP address indicated by the usage log data of the target for the condition from the viewing log data stored in the server computer. Here, the extracted viewing log data corresponds to the viewing log data of the television viewer of the condition target.

  Next, based on the extracted viewing log data, the server computer calculates a viewing rate (that is, a target viewing rate) corresponding to the number of target TV viewers for each condition for each time frame. More specifically, the server computer analyzes the extracted viewing log data. As a result, the number of target TV viewers and the TV viewing minutes in each time frame of each TV viewer are specified. Thereafter, the server computer calculates the target audience rating in each time frame by applying the identified result to the above-described equations (1) and (2).

  Next, the server computer visualizes the calculated target audience rating for each time frame and outputs it to the user of the survey result (S005). The user of the survey result confirms the target audience rating of each output time frame, finds the most frequent viewing time frame from among them, and considers the purchase of the advertising space in the time frame.

  The series of steps S001 to S005 described above are repeatedly performed during a predetermined period (hereinafter, data processing period). That is, the server computer repeatedly calculates the target audience rating for each time frame with a preset time interval, and sequentially outputs the calculation results at each calculation time point. Then, when the data processing period has elapsed (S006), the data processing flow ends.

  The data processing period is not particularly limited, and may be, for example, an operating period of the server computer. In such a case, as long as the server computer is operating, the data processing flow is continued. In addition, when the data processing flow is executed for the purpose of determining an advertising space in which a certain advertisement (TV commercial) is put out, the sales period of the advertising space may be set as the data processing period. Here, the end point of the sales period of the advertising space is set months, weeks, days, hours, minutes, or seconds before the date and time when the advertisement is broadcast on the advertising space. be able to.

<< Other Embodiments >>
The data processing apparatus and the data processing method according to the present invention have been described with reference to specific embodiments. However, the above embodiments are merely examples, and other embodiments can be considered.

  For example, in the above-described embodiment, the calculation unit 13 of the data processing device 10 uses the acquired first data and second data (specifically, the viewing log data and the usage log data) to view the target target television viewing. The target audience rating was calculated as a value according to the number of persons. However, the above values are not limited to the target audience rating, and may be other values. Specifically, for example, the number of TV viewers (reach) of the target target and the number of views (Frequency) The number of people, the total number of TV viewing minutes of the target target TV viewer, the total rating rate (GRP), and the like may be used.

  In the above embodiment, as the first data for specifying the viewing history of the television, the viewing log data is acquired from the television station server 20 or the television receiver 51 of each survey target person via the network. However, the present invention is not limited to this. For example, data obtained by a known mechanical audience rating survey method, specifically, data obtained by measuring each viewer's viewing state using a measuring device or the like installed in each research subject's home (viewing Status data) may be acquired as the first data.

  In the above embodiment, as the second data for specifying the usage history of the target content, the usage log data is acquired from the content distribution servers 30 and 40 or the device 53 of each survey target person via the network. However, the present invention is not limited to this. For example, a question regarding the usage history of the target content in a questionnaire survey or the like may be asked to the survey target person, and data indicating the content of the answer may be acquired as the second data. However, as described above, the usage log data can be acquired almost simultaneously with the use of the target content (real time), and the Web usage history at that time can be grasped. In this respect, it is more preferable to acquire the usage log data as the second data.

  In the above embodiment, the process of calculating the target audience rating in each time frame in one data processing flow is repeatedly performed with a preset time interval. However, the present invention is not limited to this. For example, the target audience rating may be calculated only once in one data processing flow.

DESCRIPTION OF SYMBOLS 10 Data processor 11 1st data acquisition part 12 2nd data acquisition part 13 Calculation part 14 Output part 15 Storage part 20 Television station server 30 Content distribution server 40 Content distribution server 51 Television receiver 52 Router 53 Device

Claims (8)

A data processing device for processing data relating to a plurality of survey subjects,
A first data acquisition unit that acquires the first data for identifying the person to be inspected that has contacted the transmitted information transmitted by the media, and the contact history to the transmitted information;
A second data acquisition unit that acquires second data for specifying the survey target person who uses the target Web content and a usage history of the Web content;
Based on the first data and the second data, a value corresponding to the number of the survey subjects who contacted the transmitted information is calculated among the survey subjects whose use history of the Web content satisfies a setting condition. A calculation unit;
The acquisition of the first data by the first data acquisition unit, the acquisition of the second data by the second data acquisition unit, and the calculation of the value by the calculation unit are set during a predetermined period . A data processing apparatus, which is repeatedly performed at intervals .   2. The data according to claim 1, wherein the second data acquisition unit acquires the second data by communicating with a server that distributes the Web content or a device used by the survey target person when using the Web content. Processing equipment.   The first data acquisition unit acquires the first data for specifying the survey subject who has contacted broadcast information broadcast on broadcast media and the contact history of the broadcast information. The data processing apparatus described in 1. The first data acquisition unit acquires the first data for identifying the survey target who has watched broadcast information broadcast on a television, and the viewing history for the broadcast information,
Based on the first data and the second data, the calculation unit is responsive to the number of the survey target persons who have watched the broadcast information among the survey target persons whose use history of the Web content satisfies the setting condition. The data processing apparatus according to claim 1, wherein the audience rating is calculated.   The data processing apparatus according to claim 4, wherein the calculation unit calculates the audience rating for each preset time frame. The first data includes data indicating an IP address used by the survey subject in contact with the transmitted information as data for specifying the survey subject in contact with the transmitted information,
The second data is data indicating an IP address used by the survey subject who uses the Web content, or an advertisement identifier and cookie information as data for specifying the survey subject who uses the Web content. The data processing apparatus according to claim 1, wherein the data processing apparatus includes data associated with any one of the data.   The setting conditions include whether or not the web content is browsed, whether or not a specific product is purchased through the web content, the content of the search through the web content, and the content of information registered to use the web content service The data processing apparatus according to claim 1, wherein the condition is related to at least one of the conditions. A data processing method for processing data related to a plurality of survey subjects by a computer,
A step of the computer acquires the respondent in contact with the transmission information transmitted by the media, and the first data for identifying a contact history for the object output information,
A step in which a computer acquires second data for specifying the survey target person who uses the target Web content and a usage history of the Web content;
Based on the first data and the second data, a value corresponding to the number of the survey subjects who have contacted the transmitted information among the survey subjects whose use history of the Web content satisfies a setting condition Calculating
And the step of acquiring the first data, the step of acquiring the second data, and the step of calculating the value are repeatedly performed with a set time interval during a predetermined period. Data processing method.