JP7271151B2 - Information processing device, information processing method and information processing program - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to an information processing apparatus, an information processing method, and an information processing program.

In recent years, with the development of networks represented by the Internet, various services have come to be provided to users.

For example, Patent Literature 1 discloses a technique for providing information useful for a user's health according to the user's genetic test information.

JP 2016-33795 A

However, with the conventional technology described above, it is not always possible to distribute advertisements according to the constitution of the user. For example, in the above-described conventional technology, content detected by a search using at least one of a disease related to the target user and a factor of the disease specified from the target user's genetic analysis result as a search key is sent to the target user. Send.

With such a conventional technology, even if information useful for the user's health can be efficiently distributed, for example, it is not always possible to distribute advertisements according to the constitution of the user.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of performing advertisement distribution according to the user's constitution.

An information processing apparatus according to the present application includes a storage unit that stores genetic information of a user; an estimating unit for estimating a constitutional feature that is a feature; and a change in predetermined information based on search behavior regarding the constitutional feature estimated by the estimating unit, purchasing behavior regarding the constitutional feature, or browsing behavior regarding the constitutional feature. and a distribution unit that distributes advertising content related to the constitutional feature to a user having the constitutional feature among the users when condition information is satisfied.

According to one aspect of the embodiment, there is an effect that it is possible to perform advertisement distribution according to the constitution of the user.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment; FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 3 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 4 is a diagram illustrating an example of a constitution information storage unit according to the embodiment; FIG. 5 is a diagram illustrating an example of a tally result storage unit according to the embodiment; FIG. 6 is a diagram illustrating an example of a condition information storage unit according to the embodiment; FIG. 7 is a diagram illustrating an example of a user setting information storage unit according to the embodiment; FIG. FIG. 8 is a diagram showing an example of a setting page. FIG. 9 is a flowchart illustrating a processing procedure for information processing by the information processing apparatus according to the embodiment; FIG. 10 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing apparatus program according to the present application (hereinafter referred to as "embodiments") will be described with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. In addition, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment; Information processing according to the embodiment is performed by the information processing apparatus 100 shown in FIG.

Further, the information processing system 1 according to the embodiment includes a user device 10, an advertiser terminal 30, and an information processing device 100, as shown in FIG. The user terminal 10, the advertiser terminal 30, and the information processing device 100 are communicably connected by wire or wirelessly via a network. The information processing system 1 shown in FIG. 1 may include a plurality of user terminals 10, a plurality of advertiser terminals 30, and a plurality of information processing apparatuses 100. FIG. As will be described later, the information processing system 1 also includes the inspection agency server 30 and the content server 40 .

A user terminal 10 is a terminal device used by a user. The user terminal 10 is a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, the user terminal 10 displays the information received from the information processing apparatus 100 on the screen or outputs the information by voice.

The advertiser terminal 30 is a terminal device used by advertisers. The advertiser terminal 30 is a smart phone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like. For example, the advertiser terminal 30 transmits various information regarding advertisement distribution to the information processing apparatus 100 according to the advertiser's operation. For example, the advertiser terminal 30 transmits information about advertisement distribution, which is condition information set by the advertiser.

Here, the premise of this embodiment will be described. Sometimes, users tend to purchase products or the like according to their own constitutional characteristics (constitutional characteristics). To give an example, a user who tends to have dry skin may suffer from symptoms and the like due to dry skin on a daily basis. Therefore, users who tend to have dry skin tend to purchase lotion thinking that moisturizing is important to improve their symptoms. In addition, users who tend to have dry skin are always looking for lotions that suit their skin.

If it is possible to distribute advertising content related to lotion to such users, the appeal of such advertising content can be enhanced. Also, from the point of view of an advertiser (for example, a cosmetics maker), sales can be improved if advertisements can be delivered to users who tend to have dry skin with pinpoint accuracy. Therefore, there are many advertisers who desire advertisement distribution targeting constitutional characteristics.

However, it is often difficult for advertisers to identify a user's constitutional characteristics on their own. In such a case, it is conceivable to pay attention to genetic information. This is because some constitutions have a high contribution rate of genes. For example, constitutional characteristics such as "dry skin", "wrinkled skin", and "atopy" are known as constitutional characteristics with a high contribution rate of genes. Taking skin as an example, it is known that there are genes that contribute to skin properties, and that users whose genes show a specific type (genotype) are likely to have "dry skin." In addition, taking allergy as an example, there is a gene that contributes to an allergic predisposition, and a user whose gene shows a specific type (gene type) is likely to have "atopy" or "hay fever". It is known that it is easy

In other words, if there is a user's genetic information, it is possible to estimate the user's constitutional characteristics, so that it is possible to realize various advertisement distributions targeting the estimated constitutional characteristics. And such advertisement distribution is very useful for advertisers. Moreover, it is useful in that the user can obtain an advertisement for a product that the user really wants.

Based on the above premise, the information processing apparatus 100 according to the embodiment performs the following processing. The information processing apparatus 100 according to the embodiment estimates a constitutional feature, which is a feature of the user's constitution, based on the user's genetic information. Then, the information processing apparatus 100 receives advertisement content submission from the advertiser and condition information relating to distribution of the advertising content, which is condition information relating to the constitutional characteristics, from the advertiser for each of the estimated constitutional characteristics. Further, the information processing apparatus 100 distributes advertising content submitted by the advertiser based on condition information received from the advertiser.

Specifically, the information processing apparatus 100 first presents to the advertiser the number of users for each constitutional feature among the users whose constitutional features are estimated. The purpose of such presentation is to allow the advertiser to refer to it in determining the condition information. Then, the information processing apparatus 100 receives condition information (condition information 1) regarding target users, such as what kind of users are target users to whom the advertising content is distributed. For example, the information processing apparatus 100 receives conditional information regarding target users, such as what kind of constitutional characteristics a user has as a target user to whom advertising content is distributed.

The information processing apparatus 100 also receives condition information (condition information 2) regarding distribution timing, such as at what timing the advertising content is to be distributed to the target user. For example, the information processing apparatus 100 receives condition information regarding distribution timing, such as what kind of surrounding environment (for example, humidity) regarding the constitutional characteristics of the target user is to be used to distribute the advertising content. For example, the information processing apparatus 100 receives condition information regarding distribution timing, such as what age the target user should reach to distribute the advertising content. In addition, for example, the information processing apparatus 100 receives conditional information regarding delivery timing, such as what kind of action the target user takes (for example, when a certain search keyword is used a predetermined number of times) to cause advertisement content to be delivered.

In addition, the information processing apparatus 100 can also receive information settings related to advertisement distribution from the user by presenting the information to the user. For example, the information processing apparatus 100 presents the genetic information corresponding to the user or the user's constitutional characteristics to the user whose constitutional characteristics are estimated. In addition, the information processing apparatus 100 presents, to the user whose constitutional characteristics have been estimated, information regarding candidate advertising content to be distributed to the user.

The information processing apparatus 100 also receives setting information set by the user regarding the distribution mode of candidate advertising content to be distributed to the user. Information processing according to the embodiment will be described below using an example.

First, the information processing apparatus 100 performs genetic analysis (has undergone a genetic test) for a user whose genetic information is known, based on the genetic analysis result of the user, that is, the genetic information. A constitutional feature, which is a constitutional feature, is estimated (step S1). For example, the information processing apparatus 100 estimates the constitutional characteristics of each user based on the gene type indicated by the genetic information.

Gene information is analysis results obtained by genetic testing, and is, for example, a list of genes possessed by the user. Gene information is information indicating what type (genotype) a gene related to a constitution is. For example, a gene related to skin properties is referred to as "GINE1" for convenience of explanation. If it is known that people whose "GINE1" type is "TY1" tend to have "dry skin" in particular, it can be said that "TY1" type users tend to have dry skin.

It should be noted that the information processing apparatus 100 can acquire such genetic information in advance from the testing institution that performed the genetic test. For example, the information processing device 100 acquires genetic information by accessing a server device (testing institution server 40) belonging to such testing institution. It should be noted that a predetermined contract has been made between the business owner (hereinafter referred to as "business owner Z") who manages the information processing apparatus 100 and the testing institution, and consent has been obtained from the user who has undergone the genetic test. Such genetic information can be obtained when the The information processing apparatus 100 may receive genetic information directly from a user who has undergone genetic testing. In other words, the form in which the information processing apparatus 100 acquires genetic information is not limited.

The information processing apparatus 100 can also store the acquired genetic information in the constitution information storage unit 121 . For example, the information processing apparatus 100 can store what type of genes each user has as genetic information. For example, the information processing apparatus 100 can store, as genetic information, which type of gene each user has among multiple types of genes by having SNP (Single Nucleotide Polymorphism). In addition, the information processing apparatus 100 can store, as genetic information, what types of genes each user has in genes related to constitution.

Next, the information processing apparatus 100 aggregates the number of users exhibiting the presumed constitutional characteristic (step S2). For example, in step S1, the information processing apparatus 100 presumes that the user has a "dryness tendency", a "wrinkle tendency", and an allergy and mainly an "atopic tendency" as constitutional features. In such a case, the information processing apparatus 100 counts the number of users whose skin has a “dryness tendency”, the number of users whose skin has a “wrinkle tendency”, and the number of users whose skin has an “atopic tendency”. In this example, the information processing apparatus 100 determines that the number of users with “dry skin” is “100”, the number of users with skin with “wrinkle” is “50”, and the number of users with “atopic tendency” is “20”. ” is obtained.

Then, the information processing apparatus 100 presents the total result, ie, the number of users for each constitutional feature, to each advertiser (step S3). For example, as shown in FIG. 1(a), the information processing apparatus 100 presents to each advertiser, as a total result, the "physical constitution category", the "physical characteristics", and the "number of people" associated with each other. The “physical constitution category” indicates the category to which the symptoms indicated by the “physical characteristics” belong. The “physical characteristics” indicates the physical characteristics estimated for each user based on the genetic information. The “number of people” indicates the number of users having the corresponding “physical characteristics” among the users whose constitutional characteristics are estimated.

Next, the advertiser submits advertising content to the information processing device 100 with reference to the tallied results presented by the information processing device 100, and distributes the advertising content, which is condition information related to constitutional characteristics, to the information processing device 100. Set condition information about . For example, an advertiser can consider that if there are "100" users whose skin tends to be "dry", it will be possible to improve profits if advertisements can be distributed to them.

Therefore, in other words, the information processing apparatus 100 receives advertisement content submission from the advertiser and condition information relating to the distribution of the advertising content, which is condition information relating to the constitutional characteristics, from the advertiser for each constitutional feature (step S4). For example, the information processing apparatus 100 stores condition information (condition information 1) regarding the target user, such as what kind of constitutional characteristics the user has as the target user to whom the advertisement content is to be distributed, and at what timing the advertisement is to be sent to the target user. It receives condition information (condition information 2) regarding distribution timing, such as whether or not to distribute the content. The information processing apparatus 100 also receives a category (advertisement category) to which the submitted advertisement content belongs.

As described above, in the present embodiment, the condition information 2 includes condition information related to the target user's surrounding environment related to constitutional characteristics, condition information related to the target user's age, and condition information related to the target user's behavior.

In the example of FIG. 1, it is assumed that the information processing apparatus 100 receives condition information as shown in FIG. 1B from advertisers M1, M2 and M3. Each advertiser will be explained. In the example of FIG. 1(b), the information processing apparatus 100 receives advertisement category "lotion" from advertiser M1, condition information 1 "dryness user", and condition information 2 "humidity 30% or less". . The condition information 1 "desired tendency user" indicates that the advertisement content of advertiser M1 is conditioned to be distributed to users with the constitutional characteristic "desired tendency". The condition information 2 "humidity 30% or less" indicates that when the surrounding environment of the target user (drier-tendency user) indicated by the condition information 1 becomes "humidity 30% or less", the advertisement content of the advertiser M1 is sent to the target user. indicates that it is conditioned to deliver

Further, in the example of FIG. 1B, the information processing apparatus 100 receives advertisement category "cosmetics" from advertiser M2, condition information 1 "wrinkle tendency user", and condition information 2 "age 40 or over". there is Condition information 1 "wrinkle tendency user" indicates that the advertising content of advertiser M2 is conditioned to be distributed to users with the constitutional feature "wrinkle tendency". The condition information 2 "Age 40 and over" is conditioned to distribute the advertising content of the advertiser M2 to users "age 40 and over" among the target users (wrinkle-prone users) indicated by the condition information 1. indicates Condition information 2 "Age 40 or over" distributes advertising content of advertiser M2 to the target user (wrinkle-prone user) indicated by condition information 1 when the target user is "age 40 or over". It also includes the implication that it is conditioned.

Further, in the example of FIG. 1B, the information processing device 100 retrieves advertisement category "skin care food" from advertiser M3, condition information 1 "user with atopic tendency", and condition information 2 "keyword "allergy" more than 100 times. ” is accepted. The condition information 1 "user with atopic tendency" indicates that the advertising content of the advertiser M3 is conditioned to be distributed to users with the constitutional feature "atopic tendency". The condition information 2 "search 100 times or more with the keyword 'allergy'" is when the target user (user with atopic tendency) indicated by the condition information 1 performs information searches using the search keyword 'allergy' 100 times or more. , indicating that this target user is conditioned to deliver the advertising content of advertiser M3.

Next, the information processing apparatus 100 provides the user whose constitutional characteristics are estimated based on the genetic information, the genetic information corresponding to the user, the constitutional characteristics of the user, candidate advertising content (candidates) to be distributed to the user. advertisement) is presented (step S5). User U1 will be described as an example among users whose constitutional characteristics are estimated based on genetic information.

For example, as shown in FIG. 1(c), the information processing device 100 presents to the user U1 the "physical category", the "physical characteristics", the "gene type", and the "candidate advertisement category" associated with each other. . The “candidate advertisement category” indicates the “advertisement category” to which the candidate advertisement distributed to the user U1 belongs.

Here, it is assumed that the user U1 has the genotype "TY1" in step S1, so that the skin is estimated to have "dry tendency" as a constitutional feature. Further, in the example of FIG. 1B, the advertiser M1 sets a condition to distribute the advertising content belonging to the advertisement category "lotion" to the "dry user" (condition information 1). Therefore, this example indicates that the user U1 is a "dry user", and thus advertising content belonging to the advertising category "lotion" may be delivered.

As described above, as shown in FIG. 1C, the information processing apparatus 100 combines the constitution category "skin", the constitution characteristic "dryness tendency", the gene type "TY1", and the candidate advertisement category "lotion" to presented to

In step S5, the information processing apparatus 100 distributes a setting page P50 including the information shown in FIG. may For example, the information processing apparatus 100 distributes to the user U1 a setting page that allows the user U1 to set the distribution frequency with which the candidate advertisement is distributed to the user U1, as the distribution mode of the advertisement content. The candidate advertisement here is an advertisement content belonging to the advertisement category "lotion". Also, distributing such a setting page to the user U1 corresponds to presenting the information shown in FIG. 1(c) to the user U1.

Accordingly, the information processing apparatus 100 receives the setting information set for the user U1 regarding the distribution frequency with which the candidate advertisement is distributed to the user U1 (step S6). Here, FIG. 1D is an example of the setting page P50. Specifically, FIG. 1(d) is an example of an input field included in the setting page P50 and used to input a setting item. As shown in FIG. 1(d), the setting page P presents to the user U1 that there is a possibility that advertisement content regarding "lotion" will be distributed. The setting page P50 also includes a "setting item" that allows the user U1 to set the "distribution frequency" at which advertising content related to "lotion" is distributed to the user U1.

The distribution frequency can be divided into, for example, "high", "medium", and "low". The distribution frequency "high" indicates that the target advertising content (in FIG. 1(d), the advertising content about "lotion") is distributed "10 times or more per week". The distribution frequency “high” indicates that the target advertising content is distributed “10 times or more per week”. Also, the distribution frequency of "medium" indicates that the target advertising content is distributed "5 to 9 times per week". Also, the distribution frequency “low” indicates that the target advertising content is distributed “1 to 4 times per week”. Note that the distribution frequency "medium" is a standard distribution frequency. Serve advertising content.

Here, for example, as shown in FIG. 1(d), it is assumed that the user U1 sets the distribution frequency to "high" and presses the "next" button on the setting page P5. The information processing apparatus 100 receives setting information indicating that the settings have been made as described above from the user terminal 10 by pressing the "next" button.

In such a state, assume that the user U1 operates the user terminal 10 and accesses the top page P60 of the business owner Z (the top page P60 is distributed by the content server 60, for example). The top page P60 includes an advertising space in which advertising content is displayed. For this reason, the user terminal 10 transmits to the information processing apparatus 100 an advertisement distribution request, which is a distribution request for the advertisement content to be displayed in the advertisement space.

Upon receiving an advertisement distribution request from the user terminal 10, the information processing device 100 performs various advertisement controls related to advertisement distribution (step S7). For example, the information processing apparatus 100 determines the advertisement category "skin lotion" based on the setting information received from the user U1 and the condition information by the advertiser M1 who submits the advertisement content belonging to the advertisement category "skin lotion". Advertisement control for distributing advertisement content belonging to U1 to user U1. Then, the information processing device 100 finally distributes the advertising content to be distributed to the user U1.

As described so far, the information processing apparatus 100 according to the embodiment estimates a constitutional feature, which is a feature of the user's constitution, based on the user's genetic information. Then, the information processing apparatus 100 receives advertisement content submission from the advertiser and condition information relating to distribution of the advertising content, which is condition information relating to the constitutional characteristics, from the advertiser for each of the estimated constitutional characteristics. Further, the information processing apparatus 100 distributes advertising content submitted by the advertiser based on condition information received from the advertiser.

In this way, the information processing apparatus 100 according to the embodiment presents to the advertiser the volume of users with different constitutions and how many of them exist, and then presents the condition information relating to the constitutional characteristics, which is the condition information relating to the distribution of the advertising content. Since the setting is made for the advertiser, it is possible to realize advertisement distribution that satisfies the advertiser.

In addition, the information processing apparatus 100 according to the embodiment presents to the user what kind of advertising content is likely to be distributed as advertising content related to the constitutional characteristics of the user, for example, in terms of advertising categories and the like. Since the user is allowed to set the distribution frequency of the advertising content, the advertising content beneficial to the user can be effectively distributed.

[2. System configuration]
Next, the configuration of the information processing system according to the embodiment will be described using FIG. FIG. 2 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 2 , the information processing system 1 includes a user terminal 10 , an advertiser terminal 30 , an inspection agency server 40 , a content server 60 and an information processing device 100 . The user terminal 10, the advertiser terminal 30, the inspection agency server 40, the content server 60, and the information processing device 100 are connected via a network N so as to be communicable by wire or wirelessly.

The testing institution server 40 is a server device belonging to a predetermined testing institution that performs genetic testing, and accumulates genetic information that is test results. For example, the laboratory server 40 transmits genetic information to the information processing device 100 in response to a request from the information processing device 100 .

Also, the content server 40 is a content server that distributes web pages including advertisement content and article content. For example, the content server 40 distributes the top page P60 described in FIG. 1(d).

[3. Configuration of Information Processing Device]
Next, the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section .

(Regarding communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits/receives information to/from the user terminal 10, the inspection institution server 40, and the contents server 60, for example.

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 has a constitution information storage unit 121 , a tally result storage unit 122 , a condition information storage unit 123 , and a user setting information storage unit 124 .

(Regarding constitution information storage unit 121)
The constitution information storage unit 121 stores information about the user's constitution characteristics estimated based on the user's genetic information. Here, FIG. 4 shows an example of the constitution information storage unit 121 according to the embodiment. In the example of FIG. 4, the constitution information storage unit 121 stores "user ID", "genetic information", "gene type", "constitution category", "constitution characteristics", "name", "address", "date of birth", ” has items such as

“User ID” indicates identification information for identifying a user or user terminal 10 . “Genetic information” indicates genetic information based on analysis results obtained by analyzing the user's genes through genetic testing. Gene information is, specifically, information about what type of gene each user has among genes having a plurality of types due to having SNPs. Gene information is information about what type of gene each user has among genes related to constitution.

"Gene type" is the type of gene identified from "gene information" and indicates the type of gene that contributes to the "physical trait". The “physical constitution category” indicates the category to which the symptoms indicated by the “physical characteristics” belong. The “physical trait” is a physical trait estimated based on genetic information, and indicates a physical trait that is expressed under the influence of the corresponding “gene type”.

"Name" indicates the name of the user. "Address" indicates the user's address. "Date of birth" indicates the date of birth of the user. The "name", "address", and "date of birth" are, for example, entered by the user when applying for genetic testing. In the example of FIG. 4, conceptual symbols are substituted for "name", "address", and "date of birth".

That is, in the example of FIG. 4 , the user (user U1) identified by the user ID “U1” has the genotype “TY1”, and therefore has a “dry tendency” as a constitutional characteristic. Indicates that it was estimated.

(Regarding total result storage unit 122)
The tally result storage unit 122 stores a tally result of tallying the number of users for each constitution feature out of the users whose constitution features are estimated. Here, FIG. 5 shows an example of the counting result storage unit 122 according to the embodiment. In the example of FIG. 5, the tally result storage unit 122 has items such as "physical constitution category", "physical constitution characteristics", "number of persons", and "target user ID".

It indicates the category to which the symptoms indicated by the “physical characteristics” belong. The “physical trait” is a physical trait estimated based on genetic information, and indicates a physical trait that is expressed under the influence of the corresponding “gene type”. The “number of people” indicates the number of users having the corresponding “physical characteristics” among the users whose constitutional characteristics are estimated. "Target user ID" indicates identification information for identifying a user (or a group of users) having a corresponding "characteristic".

For example, in the example of FIG. 5, there are "100" users with the constitutional characteristic "dryness tendency" (dryness tendency users) among the users whose constitutional characteristic is estimated, and they are identified by the target user ID "TU1". In addition, among the users whose constitutional characteristics are estimated, there are 50 users who have the constitutional characteristic “wrinkle tendency” (wrinkle tendency users), and are identified by the target user ID “TU2”.

Note that the advertiser designates this target user ID as condition information 1 related to the target user, such as what kind of constitutional characteristics the user has as the target user to whom the advertising content is distributed. For example, when an advertiser wants to distribute its own advertising content to users with a dry tendency, the advertiser specifies the target user ID "TU1" as the condition information 1. FIG.

(Regarding condition information storage unit 123)
The condition information storage unit 123 stores condition information received from an advertiser and related to distribution of advertising content. Using the example of FIG. 1, the condition information storage unit 123 stores condition information 1 and condition information 2 received from the advertiser. Here, FIG. 6 shows an example of the condition information storage unit 123 according to the embodiment. In the example of FIG. 6, the condition information storage unit 123 has items such as "advertiser ID", "advertisement category", "condition information 1", "condition information 2", and "advertisement content".

“Advertiser ID” indicates identification information for identifying the advertiser or the advertiser terminal 30 . "Advertisement category" indicates the category to which the advertising content submitted by the advertiser belongs. For example, when a lotion-related product is advertised in the advertisement content, the advertisement category "lotion" is associated with the advertisement content. In the present embodiment, the "advertisement category" is set by the advertiser, but may be dynamically assigned to the submitted advertisement content by the information processing apparatus 100, for example.

"Condition information 1" is condition information set by the advertiser based on information about constitutional characteristics (for example, the number of users for each constitutional characteristic), and is a target to which the advertising content submitted by the advertiser is distributed. This is condition information indicating a user. Specifically, the “condition information 1” is condition information regarding the target user, such as what kind of constitutional characteristics the user has as the target user to whom the advertising content is distributed. shown.

"Condition information 2" is condition information set by the advertiser based on information about constitutional characteristics (for example, the number of users for each constitutional characteristic), and is a condition regarding the timing at which advertisement content is distributed to target users. Information. Specifically, the "condition information 2" is condition information regarding distribution timing such as at what timing the advertisement content is to be distributed to the target user. The distribution timing is conditionally set using the behavior of the user.

"Advertising content" indicates advertising content submitted by an advertiser. “Advertising content” is, for example, identification information that identifies advertising content submitted by an advertiser. The “bid unit price” indicates a billing amount to be charged to the advertiser as consideration for posting the advertisement content.

Although not shown, the condition information storage unit 123 may also store the "click rate" and "eCPM" (effective cost per mille) of the corresponding "advertisement content". "Click-through rate" indicates the probability that the advertising content is selected. “eCPM” is a value calculated by multiplying a bid unit price and a click rate, and is one of evaluation values for evaluating advertisement content.

That is, in the example of FIG. 6, the advertiser (advertiser M1) identified by the advertiser ID "M1" submits the advertisement content AD1 belonging to the advertisement category "lotion" and bids "110 yen". Here is an example of setting . In the example of FIG. 6, the advertiser M1 sets the condition information 1 "TU1" and the condition information 2 "humidity of 30% or less". Specifically, when the advertiser M1 has "humidity of 30% or less" as the surrounding environment of the target user TU1 (user with dryness tendency) indicated by the condition information 1, the advertisement of the advertiser M1 to this target user TU1 Indicates that the content is conditioned to be delivered.

(Regarding the user setting information storage unit 124)
The user setting information storage unit 124 stores setting information set by the user whose constitutional characteristics are estimated, and which is set regarding a distribution mode (distribution frequency) of advertising content to this user. do. Here, FIG. 7 shows an example of the user setting information storage unit 124 according to the embodiment. In the example of FIG. 7, the user setting information storage unit 124 has items such as "user ID" and "candidate advertisement category." In addition, an example in which categories such as "lotion", "cosmetics", "skin care foods", and "hay fever medicine" exist in the "candidate advertisement category" is shown. Further, each "advertisement category" includes items such as "high", "medium", and "low" indicating the frequency of distribution.

“User ID” indicates identification information for identifying the user whose constitutional characteristics are estimated or the user terminal 10 of this user. The “candidate advertisement category” indicates the category to which the candidate advertisement content distributed to the user belongs. For example, when an advertiser has set a condition to distribute advertisement content belonging to the advertisement category “skin lotion” to users with dry skin, the information processing apparatus 100 receives an advertisement distribution request from a user with dry skin, Advertising content belonging to the advertising category “skin lotion” may be delivered to such users. In such a case, such a user would be associated with the candidate advertisement category "lotion" based on the advertiser's advertisement category "lotion".

"High", "Medium", and "Low" indicate the delivery frequency of the candidate advertising content delivered to the user. Specifically, "high", "medium", and "low" indicate the degree of delivery frequency. The distribution frequency “high” indicates that the target advertising content is distributed “10 times or more per week”. Also, the distribution frequency of "medium" indicates that the target advertising content is distributed "5 to 9 times per week". Also, the distribution frequency “low” indicates that the target advertising content is distributed “1 to 4 times per week”.

That is, the example of FIG. 7 shows an example in which the user U1 sets "high" as the distribution frequency for distributing advertising content belonging to the advertising category "skin lotion" to the user U1.

Note that the "distribution frequency" does not need to be in three stages such as "high", "medium", and "low". For example, the “distribution frequency” may be indicated by ratio information indicating what percentage of all advertising content is advertising content belonging to the advertising category “skin lotion”.

(Regarding the control unit 130)
Returning to FIG. 3, the control unit 130 executes various programs stored in a storage device inside the information providing apparatus 100 using a RAM as a work area by means of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by Also, the control unit 130 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3 , control unit 130 includes acquisition unit 131 , estimation unit 132 , presentation unit 133 , first reception unit 134 , second reception unit 135 , advertisement control unit 136 , extraction unit 137 , and a distribution unit 138, and implements or executes the information processing functions and actions described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Regarding the acquisition unit 131)
Acquisition unit 131 acquires the genetic information of the user. For example, the acquisition unit 131 acquires genetic information from the testing institution that performed the genetic test. For example, the acquisition unit 131 acquires genetic information by accessing the testing institution server 30, which is a server device belonging to such testing institution. For example, the acquisition unit 131 periodically accesses the laboratory server 30 and acquires genetic information. The acquisition unit 131 also stores the acquired genetic information in the constitution information storage unit 121 as shown in FIG. The acquisition unit 131 may also perform processing for acquiring various types of information from the constitution information storage unit 121 .

(Regarding the estimation unit 132)
Based on the user's genetic information, the estimation unit 132 estimates a constitutional feature that is a feature of the user's constitution. For example, the estimation unit 132 estimates the constitutional characteristics of each user based on the gene type indicated by the genetic information. Here, if a gene that contributes to a constitution is of a specific gene type, constitution information is already known such that the user is likely to have that constitution.

For example, it is assumed that the constitution information includes information indicating that the gene "G4b", which is the "TY1" type gene "G4", is a factor of "dry skin". In such a case, the estimating unit 132 compares the genetic information stored in the genetic information storage unit 121 with this constitution information. As such, the skin is estimated to have a “dry tendency”. The estimation unit 132 also stores the estimated constitutional characteristics in the constitutional information storage unit 121 .

(About presentation unit 133)
The presentation unit 133 presents the information on the constitutional characteristics estimated by the estimation unit 132 to the advertiser. For example, the presentation unit 133 presents to the advertiser the number of users for each constitutional feature among the users whose constitutional features are estimated, as the information on the constitutional features. For example, the presentation unit 133 aggregates the number of users exhibiting the constitutional characteristic estimated by the estimating unit 132 for each constitutional characteristic. Then, the presentation unit 133 presents the number of people, which is the count result, to the advertiser.

In addition, the presentation unit 133 presents the genetic information corresponding to the user whose constitutional characteristics are estimated by the estimation unit 132 or the constitutional characteristics of the user. In addition, the presentation unit 133 presents, to the user whose constitutional characteristics have been estimated by the estimation unit 133, information regarding candidate advertising content to be distributed to the user. This point will be explained using the examples so far.

For example, the presentation unit 133 distributes the setting page P50 to the user, which is a setting page P50 for setting the distribution mode of the advertising content, and includes the user's genetic information, constitutional characteristics, and information regarding candidate advertising content to be distributed to the user. do. For example, assume that the presentation unit 133 receives a request for distribution of the setting page P50 from the user U1. In such a case, the presentation unit 233 identifies the genetic information of the user U1, the constitutional characteristics, and the information regarding the candidate advertising content to be distributed to the user U1, and generates the setting page P50 on which the identified information is displayed.

First, the presentation unit 133 refers to the constitution information storage unit 121 to specify the constitution characteristics of the user U1. In the example of FIG. 4, the presentation unit 133 identifies the user U1's constitutional characteristic "dryness tendency". Further, in the counting result storage unit 122 shown in FIG. 5, the target user ID "TU1" is associated with the constitution characteristic "dryness tendency". Therefore, the presentation unit 133 causes the condition information 1 "TU1" in the condition information storage unit 123 shown in FIG. Therefore, the candidate advertisement corresponding to the user U1 with the constitutional characteristic "dryness tendency" is identified as the advertisement content AD1 belonging to the advertisement category "lotion". Then, the presentation unit 133 generates the setting page P50 on which the information specified as described above is displayed. It should be noted that the fact that "TU1" is set in the condition information 1 means that the conditions are set (target setting) to distribute the advertising content AD1 to users (users with dryness tendencies) identified by the target user ID "TU1". Indicates that

Here, the setting page P50 will be explained using FIG. FIG. 8 is a diagram showing an example of the setting page P50. In the example of FIG. 8, the setting page P50 includes an area AR51 in which information about the constitutional characteristics estimated for the user U1 is displayed, and an area AR52 in which the distribution frequency of candidate advertisements is set.

As shown in FIG. 8, in the area AR51, the information specified by the presentation unit 133, namely, constitution category “skin”, constitution characteristic “dryness tendency”, gene type “TY1”, candidate advertisement category “lotion”, is displayed. Further, as shown in FIG. 8, in the area AR52, setting items for allowing the user U1 to set the distribution frequency of advertising content belonging to the candidate advertising category "skin lotion" are displayed. The setting information set using the setting page P50 is received by the second receiving unit 135 .

(Regarding the first reception unit 134)
The first receiving unit 134 receives, for each constitutional characteristic estimated by the estimating unit 132, submission of advertising content from the advertiser and condition information relating to distribution of the advertising content, which is condition information relating to the constitutional characteristics. Specifically, the first receiving unit receives from the advertiser, as the condition information, condition information set by the advertiser based on the information on the constitutional characteristics.

For example, the first receiving unit 134 receives, as condition information, condition information indicating target users to whom advertising content submitted by an advertiser is distributed. For example, the first reception unit receives, as the target user, condition information indicating a user to whom the advertising content submitted by the advertiser is distributed among the users for each constitutional feature estimated by the estimation unit. Such condition information corresponds to the condition information 1 described so far.

For example, in the example of FIG. 6, "TU1" is associated as the condition information 1 with the advertiser ID "M1". This indicates that the first reception unit 134 has received from the advertiser M1 the condition information 1 indicating that the target users to whom the advertising content AD1 is distributed are "users with dryness tendency".

The first reception unit 134 also receives, as condition information, environment information indicating a surrounding environment related to the constitutional characteristics of the target user, which is the environment at which the advertisement content is distributed to the target user. For example, the first reception unit 134 receives, as environment information, humidity information indicating the humidity at which the advertising content is distributed to the target user. Further, the first reception unit 134 receives, as the condition information, age information indicating the age of the target user to whom the advertising content is distributed. Further, the first receiving unit 134 receives, as condition information, action information indicating a behavior related to the constitutional characteristics of the target user, which is the behavior at which the advertisement content is distributed to the target user. For example, the first receiving unit 134 receives, as action information, action information regarding use of a search keyword at which advertising content is delivered to a target user. Such condition information corresponds to the condition information 2 described so far.

In the example of FIG. 6 , “humidity of 30% or less” is associated with the advertiser ID “M1” as the condition information 2 . This is because the first receiving unit 134 sends the condition information 2 to the advertiser to distribute the advertising content AD1 to the target user (the user with dryness tendency) when the surrounding environment of the target user (the user with dryness tendency) becomes "30% or less" in humidity. Indicates that the request is received from M1.

In addition, in the example of FIG. 6, "age 40 or younger" is associated as the condition information 2 with the advertiser ID "M2". This indicates that the first reception unit 134 has received from the advertiser M1 the condition information 2 for distributing the advertising content AD2 to users "40 years of age or older" among target users (wrinkle-prone users). . Further, the second reception unit 134 receives from the advertiser M2 the condition information 2 to distribute the advertisement content AD2 to the target user (wrinkle-prone user) when the age of the target user (wrinkle-prone user) becomes "40 years old or older". indicates that

In the example of FIG. 6, the advertiser ID "M3" is associated with "100 or more searches with the keyword 'allergy'" as the condition information 2 . This means that the first reception unit 134 distributes the advertisement content AD3 to the target user (atopic-prone user) when the target user (atopic-prone user) has performed an information search "100 times or more" using the search keyword "allergy". It indicates that the condition information 2 is received from the advertiser M3.

In the example of FIG. 6, "January to March" is associated with the advertiser ID "M4" as the condition information 2. In FIG. This is the condition information 2 that the first reception unit 134 distributes the advertisement content AD4 to the target user (hay fever user) when the period of the surrounding environment of the target user (hay fever user) is "January to March". is received from the advertiser M4.

(Regarding the second reception unit 135)
Second accepting unit 135 accepts setting information that is set by the user based on the information presented by presentation unit 133 and that is set regarding a delivery mode in which candidate advertising content is delivered to the user. For example, the second receiving unit 135 receives, as setting information, setting information set by the user regarding the frequency of distribution of candidate advertising content to the user. Such a user is a user whose constitutional characteristics are estimated by the estimation unit 132 .

As described in the processing of the presentation unit 133, the second reception unit 135 receives setting information set by the user via the setting page P50, for example. Taking the user U1 as an example, the second reception unit 135 receives setting information set for the user U1 regarding the frequency of distribution of candidate advertisements belonging to the advertisement category “lotion” to the user U1. For example, the user terminal 10 transmits the setting information set in the setting page P50 to the information processing apparatus 100 when the user U1 presses the "next" button. Then, second accepting unit 135 stores the accepted setting information in user setting information storage unit 124 .

(Regarding the advertisement control unit 136)
The advertisement control unit 136 performs various controls related to advertisement distribution. Specifically, the advertisement control unit 136 performs various controls related to advertisement distribution to the user whose constitutional characteristics are estimated by the estimation unit 132 . For example, when an advertisement distribution request is received from the user's user terminal 10, the advertisement control unit 136, based on the setting information set by the user and the condition information set by the advertiser, Control the delivery of advertising content to users. For example, the advertisement control unit 136 controls the extraction unit 137 to extract advertisement content according to the setting information and the condition information. A case where an advertisement distribution request is received from the user terminal 10 of the user U1 will be described as an example.

In the examples of FIGS. 4 and 7, the advertisement control unit 136 determines that the user U1 is a desiccant user (target user ID “TU1”) and that the candidate advertisement belonging to the advertisement category “skin lotion” is distributed frequently. Identify what you are setting. The advertisement control unit 136 also refers to the condition information storage unit 123 and specifies that the advertisement content AD1 of the advertiser M1 is to be distributed to the user U1 when the humidity is "30% or less".

Therefore, the advertisement control unit 136 performs control such that the advertisement content AD1 is distributed to the user U1 with the distribution frequency of "high" under the environmental condition of "humidity of 30% or less". For example, when the current humidity is “higher than 30%,” the advertisement control unit 136 causes the extraction unit 137 to extract advertisement content other than the advertisement content AD1. is "30% or less humidity", the advertising content AD1 is preferentially extracted based on the distribution frequency "high". For example, when the current humidity is "30% or less", the advertisement control unit 136 increases the chances of extracting the advertisement content AD1 based on the "high" distribution frequency.

(Regarding the extraction unit 137)
The extraction unit 137 extracts advertisement content to be distributed. Specifically, the extracting unit 135 extracts the advertising content to be distributed to the requesting user from among the distribution candidate advertising content under the control of the advertising control unit 136 . For example, the extracting unit 137 extracts the advertisement content to be distributed based on the ranking information ranked with respect to each of the distribution candidate advertisement contents based on the bid unit price corresponding to each of the distribution candidate advertisement contents.

Similarly, taking user U1 as an example, assume that the timing at which an advertisement distribution request is received from user U1 based on the distribution frequency of "high" is the timing at which advertising content AD1 is distributed to user U1. In such a case, the extraction unit 137 preferentially extracts the advertisement content AD1 as the advertisement content to be distributed.

(About distribution unit 138)
The distribution unit 138 distributes advertising content based on the constitutional characteristics estimated by the estimation unit 132 . The distribution unit 138 distributes the distribution target advertising content extracted by the extraction unit 137 . Specifically, the distribution unit 138 distributes the advertisement content based on the condition information regarding the constitutional characteristics estimated by the estimation unit 132 . For example, the distribution unit 138 distributes the advertiser's advertising content based on the condition information received from the advertiser, who is the source of the advertising content, as the condition information.

For example, the distribution unit 138 distributes the advertiser's advertising content based on, as condition information, condition information indicating target users to whom the advertiser's advertising content is distributed. For example, the distribution unit 138 distributes the advertisement content based on the condition information indicating the user to whom the advertisement content of the advertiser is distributed among the users for each constitutional feature estimated by the estimation unit 132 as the target user.

Further, for example, the distribution unit 138, as the condition information, based on the environment information indicating the surrounding environment related to the physical characteristics of the target user, which is the environment at which the advertisement content of the advertiser is distributed to the target user, Deliver advertiser advertising content. For example, the distribution unit 138 distributes the advertisement content of the advertiser based on the humidity information indicating the humidity at which the advertisement content is distributed to the target user as the environment information. Further, the distribution unit 138 distributes the advertiser's advertising content based on, as the condition information, age information indicating the age of the target user to whom the advertiser's advertising content is distributed.

Further, for example, the distribution unit 138, as the condition information, distributes the advertisement based on the behavior information indicating the behavior related to the constitutional characteristics of the target user, which is the behavior at which the advertising content of the advertiser is distributed to the target user. Deliver primary advertising content. For example, the distribution unit 138 distributes the advertising content based on, as behavioral information, behavioral information regarding the use of the search keyword at which the advertising content is distributed to the target user.

[4. Processing procedure]
Next, the procedure of information processing executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. 9 . FIG. 9 is a flowchart showing a processing procedure for information processing by the information processing apparatus 100 according to the embodiment.

First, the estimation unit 132 estimates the constitutional characteristics of the user based on the genetic information acquired by the acquisition unit 131 (step S101). Next, the presentation unit 133 presents to the advertiser the number of users for each constitutional feature among the users whose constitutional features are estimated (step S102). For example, the presentation unit 133 aggregates the number of users exhibiting the constitutional characteristic estimated by the estimating unit 132 for each constitutional characteristic. Then, the presentation unit 133 presents the number of people, which is the count result, to the advertiser.

Next, the first receiving unit 134 receives, for each constitutional characteristic estimated by the estimating unit 132, submission of advertising content from the advertiser and condition information regarding the distribution of the advertising content, which is condition information regarding the constitutional characteristic. (Step S103). For example, the first reception unit receives, as condition information, condition information indicating target users to whom advertising content submitted by an advertiser is distributed. Also, for example, the first receiving unit receives, as the condition information, environment information indicating a surrounding environment related to the constitutional characteristics of the target user, which is the environment at which the advertisement content is distributed to the target user. Further, for example, the first reception unit 134 receives, as condition information, behavior information indicating a behavior related to the constitutional characteristics of the target user, which is the behavior at which the advertisement content is distributed to the target user.

Moreover, the presentation part 133 determines whether the request|requirement of delivery of the setting page P50 was received from the user, if the reception in step S103 is completed (step S104). When the presentation unit 133 has not received a distribution request (step S104; No), it waits until it is received. On the other hand, when the presentation unit 133 receives the distribution request (step S104; Yes), the setting page P50 for setting the distribution mode (distribution frequency) of the advertising content is displayed, and the genetic information and constitutional characteristics of the requesting user are displayed. , the setting page P50 including information about the candidate advertisement is delivered to the requesting user (step S105).

In such a state, the second reception unit 135 determines whether or not the setting information set by the requesting user on the setting page P50 has been received (step S106). Specifically, the second receiving unit 135 determines whether or not the setting of the distribution frequency for distributing the candidate advertisement has been received from the requesting user. If the setting information has not been received (step S106; No), the second receiving unit 135 waits until it is received.

On the other hand, when the setting information is accepted by the second accepting unit 135 (step S106; Yes), the advertisement control unit 136 determines whether or not the advertisement content distribution request has been accepted from the requesting user (step S107). ). If the advertisement control unit 136 has not received a distribution request (step S107; No), it waits until it receives the distribution request. On the other hand, when the distribution request is received (step S107; Yes), the advertisement control unit 136 performs various advertisement controls for distributing the advertising content to the requesting user (step S108). For example, the advertisement control unit 136 controls distribution of advertisement content to the requesting user based on setting information set by the requesting user and condition information set by the advertiser. For example, the advertisement control unit 136 controls the extraction unit 137 to extract advertisement content according to the setting information and the condition information.

The extracting unit 137 extracts the advertising content to be distributed to the requesting user from among the distribution candidate advertising content according to the control by the advertising control unit 135 (step S109). Then, the distribution unit 138 distributes the advertising content to be distributed extracted by the extraction unit 137 to the requesting user (step S110).

[5. Modification]
The information processing apparatus 100 according to the embodiment may be embodied in various forms other than the above examples. Therefore, other embodiments will be described below.

[5-1. Regarding condition information (1)]
In the above-described embodiment, the information processing apparatus 100 presents the number of users for each constitutional feature to the advertiser, and determines which users among the users for each constitutional feature are targeted users to whom advertising content is distributed. An example of receiving condition information (condition information 1) about a user from an advertiser is shown. However, the first receiving unit 134 may receive, as the target user, condition information indicating a user having behavior information related to behavior information indicating behavior on the network of the user whose constitutional characteristics are estimated by the estimation unit 132. .

Behavioral information that indicates behavior on the network includes, for example, search behavior such as what search keywords were used to search for information, purchase behavior such as what products were purchased online, and what content It is a browsing behavior such as whether or not the user has browsed the Note that these are examples, and the behavior information in this modified example is not limited to these. Although not shown, the information processing apparatus 100 may have a storage unit that stores search information indicating the history of search behavior, purchase information indicating the history of purchase behavior, and browsing information indicating the history of browsing behavior. .

Using the example of FIG. 5, the first reception unit 134 uses a search keyword (for example, “dry skin”) related to this constitutional characteristic among “100” users who have the constitutional characteristic “dryness”. The advertiser receives condition information targeting users who have searched for information through the advertiser. In another example, the first reception unit 134 searches for information among “50” users who have the constitutional characteristic “wrinkle tendency” using a search keyword (for example, “age skin”) related to this constitutional characteristic. Receive conditional information targeting users who have been advertised from the advertiser.

In another example, the first reception unit 134 searches for information among “20” users having the constitutional characteristic “atopic tendency” using a search keyword (for example, “skin care”) related to this constitutional characteristic. condition information targeting users who have performed In another example, the first reception unit 134 searches for information among “30” users having the constitutional characteristic “hay fever” using a search keyword (for example, “cedar pollen”) related to this constitutional characteristic. condition information targeting users who have performed

In another example, the first reception unit 134 determines that among “100” users who have the constitutional characteristic “dryness tendency”, those who have purchased a product (for example, “moisturizing cream”) related to this constitutional characteristic User-targeted conditional information is received from an advertiser. In another example, the first reception unit 134 browses content (for example, "homepage of cosmetics manufacturer XX") related to this constitutional characteristic among "100" users who have the constitutional characteristic "dryness tendency". Receives condition information from advertisers targeting users who have experienced

As a result, the information processing apparatus 100 according to the embodiment can widen the range of condition settings for advertisers, and therefore can realize advertisement distribution that satisfies the advertisers more highly.

[5-2. Regarding condition information (2)]
Further, the first receiving unit 134 may receive, as the target user, condition information indicating a user having an attribute related to the user whose constitutional characteristics are estimated by the estimating unit 132 . For example, the first reception unit 134 may receive, as the target user, condition information indicating a user who is related to the user whose constitutional characteristics are estimated by the estimation unit 132 . Further, for example, the first reception unit 134 may receive, as the target user, condition information indicating a user of the same age as the user whose constitutional characteristics are estimated by the estimation unit 132 . Further, for example, the first reception unit 134 may receive, as the target user, condition information indicating a user having the same gender as the user whose constitutional characteristics are estimated by the estimation unit 132 .

As a result, the information processing apparatus 100 according to the embodiment can widen the range of condition settings for advertisers, and therefore can realize advertisement distribution that satisfies the advertisers more highly.

[5-3. Regarding the setting of condition information]
In the above embodiment, the information processing device 100 has shown an example of receiving condition information from an advertiser. That is, an example in which the information processing apparatus 100 causes the advertiser to set the condition information is shown. However, the information processing apparatus 100 may automatically and dynamically set the condition information instead of having the advertiser set the condition information.

For example, the information processing apparatus 100 inputs dynamically determined condition information to "condition information 1" and "condition information 2" in the condition information storage unit 123 shown in FIG. Selectable condition information is prepared in advance, and the information processing apparatus 100 may determine optimum condition information from among the condition information. Further, the information processing apparatus 100 may machine-learn the condition information so as to further enhance the advertising effect, based on the determined condition information and the distribution results when the advertisement is distributed based on the determined condition information. .

Setting condition information can sometimes be complicated. By dynamically setting the condition information, the information processing apparatus 100 according to the embodiment can achieve advertisement delivery that satisfies the advertiser while eliminating this complexity.

[5-4. Setting the distribution frequency (1)]
In the above embodiment, the information processing apparatus 100 sets the distribution frequency of the candidate advertisements for the user whose constitutional characteristics are estimated. However, the information processing apparatus 100 may allow the user to set the distribution frequency of the candidate advertisements when permission to distribute the candidate advertisements to the user is obtained from the user.

Specifically, the second reception unit 135 presents the category to which the candidate advertisement corresponding to the user belongs (the “candidate advertisement category” described above) to the user, thereby providing the user with the candidate advertisement belonging to this category. First, a setting as to whether or not to distribute is received from the user. Then, when the user permits distribution, the second reception unit 135 presents a category (lower category) that is lower than the category to which the permitted candidate advertisement belongs, thereby determining the distribution frequency for each candidate advertisement that belongs to each lower category. settings from the user. This point will be explained using the example of FIG. 1 as appropriate.

Here, for convenience of explanation, it is assumed that the second reception unit 135 presents “lotion” and “cosmetics” as two candidate advertisement categories. For example, when receiving a request from user U1, the second reception unit 135 presents “skin lotion” and “cosmetics” as candidate advertisement categories corresponding to user U1, thereby distributing candidate advertisements belonging to these categories. accepts the setting of whether or not to allow

In such a state, the second receiving unit 135 refuses the distribution of the advertising content belonging to the candidate advertising category "cosmetics" from the user U1, and permits the distribution of the advertising content belonging to the candidate advertising category "lotion". Assume that the setting information is received. In such a case, the second receiving unit 135 presents, for example, the subcategories "moisturizing" and "antiaging" to the candidate advertisement category "supplement", thereby increasing the distribution frequency (high, Medium, Low) settings are accepted. That is, in this example, the user U1 can set any of the distribution frequencies (high, medium, low) for the lower category "moisturizing". Further, the user U1 can set any of the distribution frequencies (high, medium, low) for the lower category "anti-aging". At this time, an item indicating that the delivery frequency is "0", that is, rejects the delivery, may be set in the delivery frequency.

[5-5. Regarding delivery frequency setting (2)]
In the above modified example, the second receiving unit 135 first receives from the user whether or not to distribute the candidate advertisement, and when the user permits, receives the distribution frequency of the permitted candidate advertisement. In other words, an example is shown in which the second reception unit 135 sequentially receives settings for permission/prohibition of distribution and settings for distribution frequency. However, the second reception unit 135 may receive the setting of permission/prohibition of distribution and the setting of the frequency of distribution at the same timing. This point will be explained using the example of FIG. 1 as appropriate.

For example, the second reception unit 135 accepts the setting of the distribution frequency by presenting the distribution frequency for the candidate advertisement, as shown in the setting page P50 of FIG. . In such a case, the setting page P50 may include three items (high, medium (normal), and low) indicating the frequency of delivery, and a fourth item, “denial of delivery”. For example, when the user U1 checks the item "distribution refusal" associated with the candidate advertisement and presses the "next" button, the information processing apparatus 100 does not distribute any candidate advertisements to the user U1. .

[5-6. Regarding delivery frequency settings]
The information processing apparatus 100 may automatically and dynamically set the distribution frequency instead of having the advertiser set the distribution frequency. For example, the information processing apparatus 100 sets the distribution frequency based on the user's constitutional characteristics and the candidate advertisement category associated with the user.

For example, in the example of FIG. 1, the candidate advertisement category "lotion" is associated with the constitutional feature "dryness tendency" of user U1. In general, skin lotion is considered to be effective against dryness. Therefore, when candidate advertisement categories considered to be effective for constitutional characteristics are associated with the information processing apparatus 100, for example, Set the delivery frequency of the candidate advertisement higher than the standard delivery frequency.

On the other hand, for example, it is assumed that the candidate advertisement category "tobacco" is associated with the constitutional characteristic "dryness tendency" of user U1. In general, it is considered that a bad lifestyle is likely to cause dry skin. Set the delivery frequency of candidate ads lower than the standard delivery frequency.

As a result, the information processing apparatus 100 according to the embodiment can preferentially distribute advertising content that is considered useful for the user, and suppress distribution of advertising content that is considered to have an adverse effect on the user.

[6. Hardware configuration]
Also, the information processing apparatus 100 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 10, for example. FIG. 10 is a hardware configuration diagram showing an example of a computer 1000 that implements the functions of the information processing apparatus 100. As shown in FIG. Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via communication network 50 and sends the data to CPU 1100 , and transmits data generated by CPU 1100 to other devices via communication network 50 .

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the information processing apparatus 100 , the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via communication network 50 .

[7. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Moreover, each embodiment described above can be appropriately combined within a range in which the processing contents are not inconsistent.

[8. effect〕
The information processing apparatus 100 according to the embodiment has an estimation unit 132 and a distribution unit 138 . Based on the user's genetic information, the estimation unit 132 estimates a constitutional feature that is a feature of the user's constitution. The distribution unit 138 distributes advertising content based on the constitutional characteristics estimated by the estimation unit 132 .

Accordingly, the information processing apparatus 100 according to the embodiment can distribute advertisements according to the constitution of the user.

Also, the distribution unit 138 distributes the advertising content based on the condition information regarding the constitutional characteristics estimated by the estimation unit 132 .

As a result, the information processing apparatus 100 according to the embodiment can perform pinpoint advertisement distribution to users with specific constitutions.

In addition, the distribution unit 138 distributes the advertiser's advertising content based on the condition information received from the advertiser, who is the source of the advertising content, as the condition information.

As a result, the information processing apparatus 100 according to the embodiment can realize advertisement distribution that satisfies the advertiser.

Further, the distribution unit 138 distributes the advertiser's advertising content based on, as condition information, condition information indicating target users to whom the advertiser's advertising content is distributed.

As a result, the information processing apparatus 100 according to the embodiment can cause the advertiser to distribute the advertising content according to the constitution of the user.

Further, the distribution unit 138 distributes the advertisement content based on the condition information indicating the user to whom the advertisement content of the advertiser is distributed among the users for each constitutional feature estimated by the estimation unit 132 as the target user.

As a result, the information processing apparatus 100 according to the embodiment can distribute advertising content to users who have the constitution desired by the advertiser.

In addition, the distribution unit 138, as the target user, based on the condition information indicating the user who has the behavior information related to the behavior information indicating the behavior on the network of the user whose constitutional characteristics are estimated by the estimation unit 132, Serve advertising content.

As a result, the information processing apparatus 100 according to the embodiment can distribute the advertising content to users who are highly likely to be interested in the advertising content, thereby increasing the appeal of the advertising content.

Further, the distribution unit 138 distributes the advertiser's advertising content based on condition information indicating a user having an attribute related to the user whose constitutional characteristics are estimated by the estimation unit 132 as the target user.

As a result, the information processing apparatus 100 according to the embodiment can distribute the advertising content to users who are highly likely to be interested in the advertising content, thereby increasing the appeal of the advertising content.

In addition, the distribution unit 138, as the condition information, based on the environment information indicating the surrounding environment related to the constitutional characteristics of the target user, which is the timing at which the advertisement content of the advertiser is distributed to the target user. serve advertising content.

As a result, the information processing apparatus 100 according to the embodiment can distribute the advertisement content at a timing when the user is more likely to show interest in the advertisement content, so that the appeal of the advertisement content can be enhanced.

Further, the distribution unit 138 distributes the advertisement content of the advertiser based on the humidity information indicating the humidity at which the advertisement content is distributed to the target user as the environment information.

As a result, the information processing apparatus 100 according to the embodiment can distribute advertising content to users who are susceptible to the influence of humidity at the timing when the influence of humidity increases. can increase power.

Further, the distribution unit 138 distributes the advertiser's advertising content based on, as the condition information, age information indicating the age of the target user to whom the advertiser's advertising content is distributed.

As a result, the information processing apparatus 100 according to the embodiment can effectively distribute advertising content that interests users of a specific age group to users of a specific age group.

In addition, the distribution unit 138, as the condition information, based on the action information indicating the behavior related to the constitutional characteristics of the target user, which is the behavior at which the advertisement content of the advertiser is distributed to the target user. Serve advertising content.

As a result, the information processing apparatus 100 according to the embodiment can distribute advertising content according to the content that the user is currently interested in, so that the appealing power of the advertising content can be enhanced.

Further, the distribution unit 138 distributes the advertising content based on the behavior information regarding the use of the search keyword at which the advertising content is distributed to the target user as the behavior information.

As a result, the information processing apparatus 100 according to the embodiment can distribute advertising content according to the information that the user just wants, so that the appealing power of the advertising content can be enhanced.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the estimating unit can be read as estimating means or an estimating circuit.

1 information processing system 10 user terminal 30 advertiser terminal 40 inspection agency server 60 content server 100 information processing device 121 constitution information storage unit 122 tabulation result storage unit 123 condition information storage unit 124 user setting information storage unit 131 acquisition unit 132 estimation unit 133 Presentation unit 134 First reception unit 135 Second reception unit 136 Advertisement control unit 137 Extraction unit 138 Distribution unit

Claims (10)

a storage unit for storing user's genetic information;
an estimating unit for estimating a constitutional feature, which is a characteristic of the user's constitution, based on a genotype associated with the constitution, which is a genotype indicated by the genetic information stored in the storage unit;
Among the constitutional characteristics estimated by the estimating unit, any search behavior related to the constitutional characteristics, purchasing behavior related to the constitutional characteristics, or browsing behavior related to the constitutional characteristics by users who have the constitutional characteristics specified by the advertiser and a distribution unit that distributes advertising content of the advertiser to users having the constitutional characteristics specified by the advertiser when condition information that conditions the cumulative number of actions is satisfied. and information processing equipment. The information processing apparatus according to claim 1, wherein the distribution unit distributes the advertising content when the accumulated number of times exceeds a predetermined number of times. The condition information is received from the advertiser who is the source of the advertising content.
3. The information processing apparatus according to claim 1, wherein: The condition information includes condition information indicating a target user to whom the advertising content of the advertiser is distributed.
4. The information processing apparatus according to claim 3 , characterized by: The target user is a user who satisfies condition information indicating a user to whom the advertising content of the advertiser is distributed among the users for each constitutional feature estimated by the estimation unit.
5. The information processing apparatus according to claim 4 , characterized by: The target user is a user who satisfies condition information indicating a user having behavior information related to behavior information indicating behavior on the network of the user whose constitutional characteristics are estimated by the estimation unit.
6. The information processing apparatus according to claim 4 , wherein: The target user is a user who satisfies condition information indicating a user having an attribute related to the user whose constitutional characteristics are estimated by the estimation unit.
The information processing apparatus according to any one of claims 4 to 6 , characterized in that: The condition information includes age information indicating the age of the user to whom the advertising content of the advertiser is distributed.
The information processing apparatus according to any one of claims 4 to 7 , characterized in that: An information processing method executed by an information processing device,
a step of storing the user's genetic information in a storage unit;
an estimating step of estimating a constitutional feature that is a feature of the user's constitution, based on a genotype that is a genotype that is associated with constitution and that is a genotype indicated by the genetic information stored in the storage unit;
Among the constitutional characteristics estimated by the estimating step, any search behavior related to the constitutional characteristics, purchasing behavior related to the constitutional characteristics, or browsing behavior related to the constitutional characteristics by users who have the constitutional characteristics specified by the advertiser and a distributing step of distributing advertising content of the advertiser to users having the constitutional characteristics specified by the advertiser when condition information that conditions the cumulative number of actions is satisfied. Information processing method. a procedure for storing genetic information of a user in a storage unit;
an estimation procedure for estimating a constitutional feature, which is a feature of the user's constitution, based on a genotype associated with the constitution, which is a genotype indicated by the genetic information stored in the storage unit;
Among the constitutional characteristics estimated by the estimation procedure, any search behavior related to the constitutional characteristics, purchasing behavior related to the constitutional characteristics, or browsing behavior related to the constitutional characteristics by users who have the constitutional characteristics specified by the advertiser and causing a computer to execute a distribution procedure for distributing advertising content of the advertiser to users having the constitutional characteristics specified by the advertiser when condition information that conditions the cumulative number of actions is satisfied. An information processing program characterized by:

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