JP2025126391A - Program, information processing method and information processing device - Google Patents

Abstract

A technology for improving the effectiveness of advertisements and the like can be provided.
[Solution] A subtitle information acquisition unit 80 acquires subtitle information related to a program or advertisement broadcast as a first content. A broadcast advertisement estimation unit 81 estimates the content of the program or advertisement broadcast as the first content. A viewer rating information acquisition unit 61 acquires viewer rating information related to the viewer rating of each program or advertisement broadcast as the first content. A attribute information acquisition unit 62 acquires attribute information related to various attributes of the target person, such as the target person's gender, age, place of residence, family structure, occupation, and income. A viewed advertisement estimation unit 63 estimates a program or advertisement that the viewer would have actually viewed as the first content, based on the broadcast advertisement information, viewer rating information, and attribute information. A distributed advertisement determination unit 64 determines the content of a program or advertisement to be distributed as the second content, based on the viewed advertisement information.
[Selected Figure] Figure 4

Description

This disclosure relates to a program, an information processing method, and an information processing device.

In recent years, it has become known that television and other content have a great influence, and is used, for example, to provide advertisements. For example, Patent Document 1 proposes technology that delivers advertisements suited to each viewer in real time based on the viewer's operation history regarding program guides and the like.

Japanese Patent Application Laid-Open No. 2003-331183

However, conventional technologies, including the technology described in Patent Document 1 above, only infer viewer preferences and deliver advertisements and the like based on insufficient information such as past history information. In particular, it is unclear whether the viewer was actually interested in the TV programs and advertisements in question.

This disclosure has been made in light of these circumstances, and aims to provide technology that enhances the advertising effectiveness of advertisements, etc.

In order to achieve the above object, a program according to one aspect of the present disclosure comprises:
Computer,
a first content information acquisition means for acquiring information about a first content broadcast on a first medium;
a viewing target estimation means for estimating the first content viewed by a target person on the first medium;
a second content content determination means for determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
It is a program that functions as a

An information processing method and information processing device according to one embodiment of the present disclosure are also provided as an information processing method or information processing device corresponding to a program according to one embodiment of the present disclosure.

This disclosure provides technology that enhances the effectiveness of advertisements, etc.

FIG. 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present disclosure. 1 is a conceptual diagram illustrating an overview of an information processing system according to an embodiment of the present disclosure. FIG. 2 is a diagram illustrating an example of a hardware configuration of a server that configures an information processing system according to an embodiment of the present disclosure. FIG. 1 is a diagram illustrating an example of a functional configuration of a server and the like that constitutes an information processing system according to an embodiment of the present disclosure. 10 is a flowchart illustrating an example of the flow of a distribution advertisement determination process executed by a server configuring the information processing system according to an embodiment of the present disclosure.

[Embodiment]
FIG. 1 is a diagram illustrating an example of the configuration of an information processing system according to an embodiment of the present disclosure (hereinafter referred to as "this system").

As shown in FIG. 1, this system includes, for example, a server 1, an SNS device 2, a target user terminal 3, a TV receiver 4, and a TV broadcasting device 5. The server 1, the SNS device 2, the target user terminal 3, and the TV receiver 4 are connected via a predetermined network N such as the Internet. However, the network N is not a required component, and other networks such as NFC (Near Field Communication), Bluetooth (registered trademark), and LAN (Local Area Network) may also be used. Note that hereinafter, when referring to "advertising," this also includes so-called television programs, Internet programs, etc.

Server 1 is an information processing device managed by an administrator of this system. Server 1 is configured, for example, as a general-purpose PC (Personal Computer). Server 1 executes various processes related to the distribution advertisement determination process described below.

The SNS device 2 is an information processing device managed by an administrator of the second content (described later), etc. The SNS device 2 is configured, for example, by a general-purpose PC (Personal Computer), etc. The SNS device 2 transmits and receives various information related to the second content to and from the target user terminal 3.
Here, the second content broadly includes, for example, various network services such as YouTube (registered trademark), Niconico Video (registered trademark), and TikTok (registered trademark), as well as various contents such as programs and advertisements provided on these network services. In the following description, the medium or transmission method for broadcasting or distributing the second content will be referred to as the second medium.

The target user terminal 3 is used by users who wish to receive services related to this system. The target user terminal 3 may be configured, for example, as a smartphone or tablet. The target user terminal 3 performs various user-related processes related to various SNSs and the distribution advertisement determination process described below.

The TV receiving device 4 is a receiving device for the first content used by a user who wishes to receive services related to this system. The TV receiving device 4 is, for example, a general-purpose television receiver. The TV receiving device 4 receives various television broadcasts transmitted from the TV broadcasting device 5 and displays them on a display unit (not shown).
In the following description, the transmission method of content transmitted and received by television or the like will be referred to as the "first medium." The first medium broadly includes program content and commercials broadcast by terrestrial broadcasting, satellite broadcasting, data broadcasting, cable television, IP broadcasting, Internet broadcasting, in-car broadcasting, in-flight broadcasting, etc. The various contents broadcast or distributed by the first medium will be referred to as the "first content."

The TV broadcasting device 5 transmits various information related to various television programs, advertisements, etc.

Figure 2 is an image diagram illustrating an overview of an information processing system according to one embodiment of the present disclosure. A brief overview of the advertising distribution service according to this system will be described with reference to Figure 2.

As shown in Figure 2, a user (hereinafter referred to as the "target person") to whom the advertising distribution service of this system is applicable first watches first content (e.g., a television advertisement, etc.) via a TV receiver 4. The target person then uses various networking services via the target person terminal 3. The target person can then view, as second content, an advertisement similar to the television advertisement they previously viewed as first content. In other words, the advertising distribution service provided by this system, simply put, is a service that can increase the advertising effectiveness of the distributed advertisements by overlaying advertisements similar to those viewed by the viewer on television, etc., on a networking service, etc.

Figure 3 shows an example of the hardware configuration of a server that makes up this system.

As shown in FIG. 3, the server 1 includes a control unit 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an output unit 16, an input unit 17, a memory unit 18, a communication unit 19, and a drive 20.

The control unit 11 is configured by a microcomputer including a CPU, a GPU, a semiconductor memory, etc. The control unit 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 to the RAM 13.
The RAM 13 also stores information necessary for the control unit 11 to execute various processes as needed.

The control unit 11, ROM 12, and RAM 13 are interconnected via a bus 14. The bus 14 is also connected to an input/output interface 15. The input/output interface 15 is connected to an output unit 16, an input unit 17, a memory unit 18, a communication unit 19, and a drive 20.

The output unit 16 is composed of various displays, speakers, etc. The output unit 16 outputs various images, sounds, etc.

The input unit 17 is composed of, for example, a keyboard, a mouse, etc. The input unit 17 accepts input of various information.

The storage unit 18 is composed of a hard disk drive (HDD) or solid state drive (SSD), and stores various information. The storage unit 18 stores various programs related to the provision of this service.

The communication unit 19 controls communications between other hardware and other devices via a network N, including the Internet.

The drive 20 is provided as needed. Removable media 31, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is appropriately loaded into the drive 20. Programs for executing various processes are stored in the removable media 31. The programs read from the removable media 31 by the drive 20 are installed in the storage unit 18 as needed.
Furthermore, the removable media 31 can also store various types of information stored in the storage unit 18 in the same manner as the storage unit 18 .

Note that the hardware configurations of the SNS device 2, target user terminal 3, TV broadcasting device 5, etc. can all be basically the same as the hardware configuration of the server 1, so explanations will be omitted.

FIG. 4 is a diagram illustrating an example of a functional configuration of a server constituting an information processing system according to an embodiment of the present disclosure.
As shown in FIG. 4, the control unit 11 of the server 1 executes various programs and the like, thereby causing an advertisement information acquisition unit 60, a viewership information acquisition unit 61, an attribute information acquisition unit 62, an advertisement viewing estimation unit 63, and a distribution advertisement determination unit 64 to function.
An advertisement DB 300 is provided in one area of the storage unit 18. Various information relating to content such as various programs and advertisements is stored in the advertisement DB 300.

The advertisement information acquisition unit 60 acquires information about the first content broadcast on the first medium. The advertisement information acquisition unit 60 includes a subtitle information acquisition unit 80 and a broadcast advertisement estimation unit 81.
The subtitle information acquisition unit 80 acquires, for example, text information (hereinafter referred to as "subtitle information") related to a program or advertisement broadcast as the first content. Note that the method by which the subtitle information acquisition unit 80 acquires the subtitle information is arbitrary, but for example, the subtitle information can be acquired by extracting the subtitle information included in the broadcast data of the first content.
The broadcast advertisement estimation unit 81, for example, extracts predetermined keywords from the subtitle information acquired by the subtitle information acquisition unit 80, and compares the extracted keywords with information on various programs or advertisements stored in the advertisement DB 300, thereby estimating the content of the program or advertisement broadcast as the first content, and acquires information related to the estimated program or advertisement (hereinafter referred to as "broadcast advertisement information").

The viewership information acquisition unit 61 acquires information relating to an index of how many people are watching the first content. Specifically, the viewership information acquisition unit 61 acquires, for example, information relating to the viewership ratings of each program or advertisement broadcast as the first content (hereinafter referred to as "viewership information"). Here, the viewership information acquisition unit 61 may acquire viewership information by any method, but may also acquire information relating to survey results on various viewing situations for television programs, etc., such as surveys via devices or telephone questionnaire surveys. Specific examples of the viewership information may include viewership rating information by individual, household, age, gender, or residential area. Furthermore, viewership rating information may also include viewership rating information by viewer hobby/preference attributes, demographic attributes, psychographic attributes, or behavioral attributes, obtained through questionnaire surveys or by matching data with other large-scale behavioral log data.

The attribute information acquisition unit 62 acquires attribute information about the subject. Specifically, the attribute information acquisition unit 62 acquires information about various attributes of the subject, such as the subject's gender, age, place of residence, family structure, occupation, income, etc. (hereinafter referred to as "attribute information"). Note that the method by which the attribute information acquisition unit 62 acquires attribute information and the detailed types of attribute information to be acquired are arbitrary, but examples of such methods are described in the following reference documents, which should be referred to for example.
<Reference 1> Japanese Patent No. 7196352 (especially paragraph 0068, etc.)

The viewed advertisement estimation unit 63 estimates the first content viewed by the target person on the first medium. Specifically, the viewed advertisement estimation unit 63 estimates the first content that the viewer would have actually viewed based on the broadcast advertisement information acquired by the broadcast advertisement estimation unit 81, the audience rating information acquired by the audience rating information acquisition unit 61, and the attribute information acquired by the attribute information acquisition unit 62, and acquires information related to the estimated program or advertisement (hereinafter referred to as "viewed advertisement information").

The distribution advertisement determination unit 64 determines the content of the second content that can be distributed on the second medium based on the content of the first content that is estimated to have been viewed by the target person. Specifically, the distribution advertisement determination unit 64 determines the content of the program or advertisement to be distributed as the second content based on the viewed advertisement information acquired by the viewed advertisement estimation unit 63. The distribution advertisement determination unit 64 also performs various processes to distribute the program or advertisement that has been decided to be distributed as the second content. However, distribution includes displaying on a terminal, device, etc., and includes presenting a part or outline of the content to the target person for recommendation, or simply displaying a link.

Figure 5 is a flowchart showing an example of the flow of the distribution advertisement determination process executed by a server constituting an information processing system according to one embodiment of the present disclosure.

In step S1, the subtitle information acquisition unit 80 acquires subtitle information relating to, for example, a program or advertisement broadcast as the first content.

In step S2, the broadcast advertisement estimation unit 81 extracts predetermined keywords from the subtitle information acquired by the subtitle information acquisition unit 80, and compares the extracted keywords with information on various programs or advertisements stored in the advertisement DB 300 to estimate the content of the program or advertisement broadcast as the first content and acquire broadcast advertisement information.

In step S3, the viewership information acquisition unit 61 acquires viewership information, for example, regarding the viewership ratings of each program or advertisement broadcast as the first content.

In step S4, the attribute information acquisition unit 62 acquires attribute information regarding various attributes of the subject, such as the subject's gender, age, place of residence, family structure, occupation, and income.

In step S5, the viewed advertisement estimation unit 63 estimates the program or advertisement that the viewer would have actually viewed as the first content based on the broadcast advertisement information acquired by the broadcast advertisement estimation unit 81, the audience rating information acquired by the audience rating information acquisition unit 61, and the attribute information acquired by the attribute information acquisition unit 62, and acquires viewed advertisement information.

In step S6, the distribution advertisement determination unit 64 determines the program or advertisement content to be distributed as the second content based on the viewed advertisement information acquired by the viewed advertisement estimation unit 63. This completes the distribution advertisement determination process.

The above describes one embodiment of the present disclosure, but the present disclosure is not limited to the above-described embodiment, and any modifications and improvements that achieve the objectives of the present disclosure are included in the present disclosure.

Other Embodiments
Furthermore, although not explained in the above embodiment, the present system may determine the program or advertisement to be delivered to the user using the concept of the number of times of contact with the program or advertisement (whether or not there was contact) in addition to the various elements mentioned above.
Here, the number of exposures is an expected value of how many times a user actually views a target program or advertisement based on a probabilistic index such as a viewer rating.
As a specific example, suppose that advertisement D is broadcast twice on each of channels A, B, and C under the conditions that the viewer rating for women in their 30s from 7 PM to 11 PM is 5%, the viewer rating for channel B from 7 PM to 11 PM is 10%, and the viewer rating for channel C from 7 PM to 11 PM is 15%. In such a case, it may be estimated that women in their 30s who are viewers were exposed to advertisement D 0.6 times, which is 2 x 0.05 + 2 x 0.1 + 2 x 0.15 = 0.6. As another example, it may be estimated that 0.05 + 0.1 + 0.15 = 30% of women in their 30s were exposed to advertisement D twice.
The system may change, for example, the frequency, number of times, content, etc. of the second content depending on the estimated number of contacts and the attributes of the target person (attribute information, etc.) Specifically, for example, if a target person whose number of contacts is estimated to be three has an attribute that makes them busy on a daily basis (age, occupation, etc.), the system may deliver advertisements more times than usual.

Furthermore, although not explained in the above embodiment, the present system may estimate a target person's exposure to an advertisement by directly or indirectly linking the target person's terminal with the viewing log of the TV receiving device, rather than using probabilistic indicators such as viewership ratings.
For example, the system may require the subject to input a user ID for the network service of the second content used by the subject when using a TV receiver, and link the viewing logs of the subject and the TV receiver using this common ID to estimate whether or not the subject has been exposed to an advertisement. Furthermore, if a user ID for a third service different from the service of the second content is input when using the TV receiver, the system may identify the viewing log of the subject's TV receiver by matching it with the user ID for the service of the second content. Furthermore, the system may link the subject, the subject's terminal, and the TV receiver using a common advertising identifier or an identifier such as the IP address of those terminals.

Furthermore, although not explained in the above embodiment, the present system may take into account information regarding viewing trends by time period for each attribute (age, gender, etc.), and reflect this in the estimation of the above-mentioned viewership ratings and number of times an advertisement, etc., is viewed, i.e., in the estimation of the content of the first content viewed by the viewer. Specifically, for example, the present system may analyze the viewing trends of advertisements, etc. by age or gender of users of the second content, in particular, from viewing logs, etc., and calculate the above-mentioned number of times the advertisement, etc., was exposed.

Furthermore, although not explained in the above embodiment, the present system may adopt the attributes of viewers who simultaneously use a television or the like (e.g., the first content) and a mobile terminal or the like (e.g., the second content) as one piece of attribute information and determine the advertisements or the like to be delivered.
For example, when a user is using a television or the like and a mobile terminal or the like at the same time, the system may be used for various analyses assuming that the user is viewing content of the same genre as the program or advertisement being viewed.

Furthermore, although not explained in the above embodiment, when acquiring attribute information particularly relating to the second content, the system may acquire information relating to the genre of content of interest, viewing history, search history, featured broadcasters or performers (so-called follows), etc. as attribute information and use this information for various analyses.

Furthermore, although not explained in the above embodiment, the present system does not necessarily have to uniformly distribute advertisements, etc. that were viewed in the first content in the second content, and is not limited to this. The present system may select advertisements, etc. that are particularly suitable based on the viewer's attribute information, etc., and distribute them to the viewer preferentially. For example, if a viewer has come across advertisements or programs related to travel as the first content, the system may distribute or recommend advertisements for tour products or travel programs about travel destinations as the second content.

Although not described in the above embodiment, the present system may further include the following mechanism when a viewer uses a television or the like and a mobile terminal or the like at the same time.
For example, the present system may be provided with a mechanism for encouraging advertisers who distribute advertisements on mobile devices but do not distribute advertisements on television or other media to distribute advertisements on television or other media.
For example, the system may be provided with a mechanism for recommending advertising slots to advertisers, etc., for times when viewers are simultaneously using television, etc. and mobile devices, etc.

Although not described in the above embodiment, the present system can make strategic proposals regarding the distribution status of advertisements and the like for the first content and the second content.
For example, if advertisements etc. are viewed sufficiently in the first content and also in the second content, the system considers that awareness of the product etc. is already sufficiently high, and therefore proposes to advertisers etc. to deliver advertisements to enhance the functionality and effectiveness of the product etc.
For example, if advertisements, etc. are not viewed very often in the first content and advertisements, etc. are also not viewed very often in the second content, the system considers that the product, etc. itself is not well known from the perspective of purchase funnel analysis, and therefore proposes to the advertiser, etc. to deliver an advertisement to increase awareness of the product, etc. For example, if advertisements, etc. are viewed sufficiently in the first content and advertisements, etc. are not viewed very often in the second content, the system considers that the viewer is fully aware of the existence of the product, etc., and therefore in this case too, proposes to deliver an advertisement to the advertiser, etc. to increase the functionality and effectiveness of the product, etc.
For example, if advertisements, etc., are not viewed often in the first content but are viewed sufficiently in the second content, the system may analyze the viewer's viewing status of the first content (e.g., television) and suggest channels and time slots where the viewer is more likely to be exposed to the advertiser, etc., as advertising slots that will more efficiently increase reach. In this case, for example, the viewer ratings for the attributes to which the viewer belongs can be analyzed, and content (including broadcast stations and time slots) with high viewer ratings for those attributes can be suggested as advertising slots. However, these suggestions by the system are merely examples and are not limiting. The system can make a variety of strategic suggestions depending on the viewing status and distribution status of advertisements, etc., in the first content and the second content.

Furthermore, although not described in the above embodiment, the present system may also include a mechanism for controlling the number of times advertisements, etc., are delivered. Specifically, for example, the present system may estimate the number of times a viewer has viewed an advertisement, etc., and if this number is insufficient to reach a target number of views, deliver advertisements, etc. to the viewer via second content, etc., and terminate delivery of the advertisements, etc. once the target number of views has been reached.

Although not described in the above embodiment, the system may acquire, for example, a viewer's site visit history, search history, inquiry history, program and content viewing history, subscription status to various services, product purchase history, and information regarding the frequency and recency of such purchases (hereinafter referred to as "engagement information") in combination with attribute information. Furthermore, the system may use this information for various analyses, including but not limited to double funnel analysis, by aggregating other attributes, the number of times advertisements are delivered, the number of times advertisements are viewed, etc. over time.
Specifically, for example, when a viewer visits a site, the system may increase the number of times advertisements are sent in accordance with the application to purchase a product, etc., or conversely, since the viewer has purchased the product, the system may stop sending advertisements, etc., assuming that the purpose has been achieved, or may change to sending advertisements, etc. for related products.

Furthermore, when controlling the number of times an advertisement or the like is distributed, the system may, for example, take into account the budget of the advertiser or the like. Specifically, for example, if the budget is fixed, the budget may be allocated only to attributes that contribute particularly greatly from the attribute information, and the budget allocation may be reduced for advertisements related to other attributes.

Furthermore, although not explained in the above embodiment, the system may change the delivery price of advertisements, etc. based on the acquired engagement information. Specifically, for example, the system may set advertising fees, etc. higher when the engagement rate is high, and lower advertising fees, etc. when the engagement rate is low.

Furthermore, although not explained in the above embodiment, the system may change the content or priority of attribute information depending on engagement information. For example, if the engagement rate changes upward, it may be set as high-priority information for the delivery of advertisements, etc., and conversely, if the engagement rate changes downward, it may be set as low-priority information for the delivery of advertisements, etc.

Furthermore, in the above-described embodiment, the system has been described as acquiring information about broadcast programs or advertisements based on subtitle information, but this is not limited to this. The system does not necessarily need to identify broadcast programs or advertisements based on subtitle information; it may acquire information about programs or advertisements using any method, such as character recognition through analysis of video or captions, keyword extraction through voice recognition, or extraction from a pre-recorded program guide or advertisement list.

Furthermore, although not explained in the above embodiment, the system may also have a function for recommending advertising slots, etc. Specifically, the system may recommend advertising slots to advertisers, etc. based on, for example, viewer viewing habits, viewer attribute information, and viewer rating information for various programs and advertisements, etc.

In addition, in the above-described embodiment, the attribute information acquired by the system is described as information regarding the subject's gender, age, place of residence, family structure, occupation, income, etc., but this is an example and is not limited thereto. The system may acquire any information related to the subject's attributes as attribute information, or may omit acquisition of some of the above-described attribute information and not acquire it as attribute information.

Furthermore, in the above-described embodiment, the system has been described as simply acquiring viewer attribute information, but this is not limited to this. For example, the system may estimate viewer attributes by linking attribute information acquired from the viewing history of the first content (TV, etc.) with attribute information acquired from the usage history of the second content (SNS, etc.), or it may estimate viewer attributes from only one piece of information without linking these pieces of information.

In the above embodiment, the system uses the viewer rating as an indicator of how many people are watching the program or advertisement, but this is not limited to this. The system may use other indicators, such as occupancy rate.
The occupancy rate is a value indicating the degree to which each individual or household is watching a target program or advertisement, with the number of individuals or households watching television or the like being taken as 100.

Furthermore, in the above-described embodiment, an example of the first content is a television program, and an example of the second content is video content provided by a network service, but this is not limited to this. For example, an example of the first content in the above-described embodiment may be a channel or time slot of a broadcasting station, or video content or a channel provided by a network service, and an example of the second content may be a television program. In other words, the present system can employ any type of content as the first content and the second content.

Furthermore, although not explained in the above embodiment, the first content may include not only television programs that can be viewed in real time, but also recorded or rebroadcast television programs, various catch-up broadcasts, and other content.

In the above embodiment, the second content is described as a moving image, but is not limited thereto. The second content may be, for example, an Instagram (registered trademark)
The content may be any medium or content, such as still images, text articles, sentences, audio content on various network services, various web services, video distribution services, digital media, sharing services, electronic billboards, e-books, e-commerce sites, various digital devices, etc.

Furthermore, in the above-described embodiment, the method by which the system extracts keywords from various content is an example and is not limited thereto. The system may extract keywords from content using any method, such as tag information attached to various content, audio analysis, video analysis, or text analysis. Furthermore, the system may extract keywords using, for example, various large-scale language models.

Furthermore, although not described in the above embodiment, the present system may estimate the content of the first content viewed by the viewer by taking into consideration other attributes related to the viewer, such as the viewer's hobbies and preferences, household attributes, etc.

The above-described series of processes can be executed by hardware or software.
In other words, the functional configurations shown in FIG. 4 and the like are merely examples and are not particularly limited.
That is, it is sufficient that the information processing system is provided with a function that can execute the above-described series of processes as a whole, and the type of functional block used to realize this function is not limited to the example shown in Fig. 4. Furthermore, the location of the functional block is not limited to the example shown in Fig. 4, and may be arbitrary.
Furthermore, one functional block may be configured by hardware alone, by software alone, or by a combination of these.

In addition, in this specification, the steps of writing a program to be recorded on a recording medium may be executed in chronological order, or may be executed in parallel or individually. Furthermore, some of the steps described in the above embodiments may be omitted.

In addition, in this specification, the term "system" refers to an overall device composed of multiple devices, multiple means, etc.

Furthermore, the number of various hardware components constituting this system and the number of users are optional, and the system may also include other hardware components.
Furthermore, in this system, for example, some or all of the above-described series of processes may be executed by another server or the like managed by the cloud or the like.

Furthermore, when a series of processes is performed by software, the programs that make up that software are installed onto a computer or other device from a network or recording medium.

The computer may also be a computer that is built into dedicated hardware, or a computer that can execute various functions by installing various programs.
That is, for example, the various hardware in the above-described embodiments may be freely adopted as any computer, any mobile terminal such as a smartphone, etc. Furthermore, any combination of types and contents of various input units and various output units may be adopted.

Furthermore, the recording medium containing such a program may be configured not only as a removable medium (not shown) provided separately from the device main body in order to provide the program to the user, but also as a recording medium provided to the user in a state where it is pre-installed in the device main body.

Even when these other embodiments are adopted, the effects of this embodiment will be achieved. It is also possible to combine this embodiment with other embodiments, and other embodiments with each other, as appropriate.

To summarize the above, the program to which the present disclosure is applied can take various forms having the following configurations.
Computer,
a first content information acquisition means for acquiring information about a first content broadcast on a first medium;
a viewing target estimation means for estimating the first content viewed by a target person on the first medium;
a second content content determination means for determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
Any program that functions as such is sufficient.

The first medium may be broadcast or distributed via television or the Internet, and the second medium may be a web service via an information processing terminal. Web services broadly include, for example, various social networking services, various game apps, various in-app advertisements, ad networks, and various digital advertisements.

Furthermore, the first content and the second content may be a program or an advertisement.

The first content information acquisition means may also identify the details of the first content broadcast on the first medium based on information extracted by analyzing at least one of the video, audio, and additional information contained in the first content. The additional information may include, for example, subtitle information or watermark information extracted from a program, advertisement, etc.

The target audience estimation means may also estimate the content of the first content viewed by the target person based on information about the first content broadcast on the first medium, viewing trend information related to an index of how many people are viewing the first content, and attribute information about the target person.

Furthermore, the attribute information may include at least information regarding the gender and age of the subject.

Furthermore, the viewing target estimation means may estimate the content of the first content viewed by the target person by taking into consideration at least the viewing tendencies of the target person by gender and age and by time of day on the first medium or the second medium.

Furthermore, the viewing target estimation means may estimate the content of the first content viewed by the target person by taking into consideration at least the target person's tastes and preferences and household attributes in the first medium or the second medium.

Furthermore, the attribute information may include at least information regarding whether the first medium and the second medium are being used simultaneously.

Furthermore, the above-mentioned program may further function as advertising slot recommendation means for recommending advertising slots in the first medium, and the advertising slot recommendation means may recommend advertising slots in the first medium based on at least one of the viewing trend information and the attribute information.

Furthermore, the above-mentioned program may further function as an expected number of viewings calculation means that calculates the expected number of viewings that the subject is expected to have viewed the first content based on the viewing tendency information and the attribute information.

The expected number of views calculation means may also change at least one of the frequency, number of times, and content of distribution of the second content depending on at least one of the attributes of the target user and the calculated expected number of views.

The second content determination means may also compile the effectiveness of the content to be distributed on the second medium based on the content of the first content that the target person is estimated to have viewed and engagement information regarding the relationship between the target person and the first content that the target person is estimated to have viewed.

Furthermore, based on the engagement information, at least one of the compensation for the delivery of the second content, the frequency with which the second content is delivered, and the attributes of the content to be delivered may be changed.

In addition, as another aspect of the present disclosure,
1. A computer-implemented information processing method, comprising:
a first content information acquisition step of acquiring information about the first content broadcast on a first medium;
a viewing target estimation step of estimating the first content viewed by a target person on the first medium;
a second content content determination step of determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
The present invention may be an information processing method including the above.

In addition, as another aspect of the present disclosure,
a first content information acquisition means for acquiring information about a first content broadcast on a first medium;
a viewing target estimation means for estimating the first content viewed by a target person on the first medium;
a second content content determination means for determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
The information processing device may include:

REFERENCE SIGNS LIST 1 Server 11 Control unit 60 Advertisement information acquisition unit 80 Subtitle information acquisition unit 81 Broadcast advertisement estimation unit 61 Viewership rating information acquisition unit 62 Attribute information acquisition unit 63 Viewed advertisement estimation unit 64 Distribution advertisement determination unit 300 Advertisement DB
2 SNS device 3 Target person terminal 4 TV receiving device 5 TV broadcasting device

Claims (16)

Computer,
a first content information acquisition means for acquiring information about a first content broadcast on a first medium;
a viewing target estimation means for estimating the first content viewed by a target person on the first medium;
a second content content determination means for determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
A program that functions as a the first medium is broadcast or distributed via television or the Internet;
the second medium is a web service via an information processing terminal;
The program according to claim 1. the first content and the second content are programs or advertisements;
The program according to claim 1. the first content information acquisition means identifies the details of the first content broadcast on the first medium based on information extracted by analyzing at least one of video, audio, and additional information included in the first content;
The program according to claim 1. the viewing target estimation means estimates the details of the first content viewed by the target person based on information on the first content broadcast on the first medium, viewing tendency information on an index of how many people are viewing the first content, and attribute information on the target person;
The program according to claim 1. The attribute information includes at least information regarding the gender and age of the subject.
The program according to claim 5. the viewing target estimation means estimates the details of the first content viewed by the target person, taking into consideration at least the viewing tendencies of the target person by gender and age for each time period on the first medium or the second medium;
The program according to claim 5. The viewing target estimation means further estimates the details of the first content viewed by the target person, taking into consideration at least the attributes of the target person's tastes and preferences and the attributes of the household in the first medium or the second medium.
The program according to claim 7. the attribute information includes at least information regarding whether the first medium and the second medium are being used simultaneously;
The program according to claim 5. a program that further functions as an advertisement placement slot recommendation unit that recommends an advertisement placement slot in the first medium,
the advertisement placement slot recommendation means recommends an advertisement placement slot for the first medium based on at least one of the viewing tendency information and the attribute information;
The program according to claim 9. and further functioning as an expected number of viewings calculation means for calculating an expected number of viewings that the target person is expected to have viewed the first content based on the viewing tendency information and the attribute information.
The program according to claim 5. the expected number of viewings calculation means changes at least one of the frequency, number of times, and content of delivery of the second content according to at least one of the attributes of the target person and the calculated expected number of viewings.
The program according to claim 11. the second content content determination means tallying up the effectiveness of the content to be distributed on the second medium based on the content of the first content estimated to have been viewed by the target person and engagement information regarding a relationship between the target person and the first content estimated to have been viewed by the target person;
The program according to claim 5. changing at least one of a fee for delivery of the second content, a frequency of delivery of the second content, and attributes of the content to be delivered based on the engagement information;
The program according to claim 13. 1. A computer-implemented information processing method, comprising:
a first content information acquisition step of acquiring information about the first content broadcast on a first medium;
a viewing target estimation step of estimating the first content viewed by a target person on the first medium;
a second content content determination step of determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
An information processing method including: a first content information acquisition means for acquiring information about a first content broadcast on a first medium;
a viewing target estimation means for estimating the first content viewed by a target person on the first medium;
a second content content determination means for determining the content of a second content that can be distributed on a second medium based on the content of the first content that is estimated to have been viewed by the target person;
An information processing device comprising: