JP2018045288A - Advertisement distribution program, advertisement distribution system and advertisement distribution method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an advertisement distribution system capable of increasing a purchase opportunity of advertised commodities.SOLUTION: A server unit 10 executes a series of processing to discriminate: an object person as an object of a search commodity searched, a considering person who is considering to purchase of the search commodity, and a possible purchaser to purchase the search commodity who is included in the same group as the object person and the considering person; a series of processing to determine advertisement commodities based on a commodity browsing history of the considering person and the commodity purchase history of a similar group the constitution thereof is similar to that of the group in which the considering person is included; and a series of processing to distribute an advertisement of the advertisement commodity to the purchaser.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an advertisement distribution program, an advertisement distribution system, and an advertisement distribution method.

  In the Internet and social networking services, keywords are extracted from the user's individual product browsing history and message exchange within the group, and advertisements of related products that are likely to be of interest to individuals or group members are distributed.

Special table 2013-516002 gazette JP 2015-22379 A Special table 2014-522042 gazette

  However, in the above technology, the purchase of the advertised product may be impaired due to the economic circumstances of each individual when determining whether or not the product can be purchased.

  In one aspect, an object of the present invention is to provide an advertisement distribution program, an advertisement distribution system, and an advertisement distribution method that can increase the purchase opportunities of advertised products.

  In one aspect, the advertisement distribution program belongs to the same group as the target person who is the target of the searched search product, the reviewer who considers the purchase of the search product, and the target person and the reviewer. Based on a process for determining a purchaser who can purchase the search product, a product browsing history of the reviewer, and a product purchase history of a similar group similar in configuration to the group to which the reviewer belongs. The process for determining the advertisement product and the process for distributing the advertisement for the advertisement product to the purchaser are executed.

  Increase the opportunity to purchase advertised products.

FIG. 1 is a diagram illustrating a configuration example of an advertisement distribution system according to an embodiment. FIG. 2 is a diagram for explaining the outline of the advertisement distribution system according to the embodiment. FIG. 3 is a block diagram illustrating a functional configuration of the server apparatus according to the embodiment. FIG. 4 is a diagram illustrating a method for creating a commodity target person list according to the embodiment. FIG. 5 is a diagram illustrating a method for constructing a family structure database according to the embodiment. FIG. 6 is a diagram illustrating a method for creating an advertisement product list according to the embodiment. FIG. 7 is a diagram illustrating a method for creating an advertisement distribution destination list according to the embodiment. FIG. 8 is a diagram illustrating an example of calculating the age similarity α according to the embodiment. FIG. 9 is a diagram illustrating an example of calculating the gender similarity β according to the embodiment. FIG. 10 is a diagram illustrating a calculation example of the family similarity γ according to the embodiment. FIG. 11 is a flowchart illustrating the procedure of the advertisement distribution process according to the embodiment. FIG. 12 is a diagram illustrating a method for creating a merchandise target person list according to a modification. FIG. 13 is a diagram illustrating a hardware configuration example of a computer that executes the advertisement distribution program according to the embodiment.

  Hereinafter, an advertisement distribution program, an advertisement distribution system, and an advertisement distribution method according to the present application will be described with reference to the accompanying drawings. Note that this embodiment does not limit the disclosed technology. Each embodiment can be appropriately combined within a range in which processing contents are not contradictory.

[System configuration]
FIG. 1 is a diagram illustrating a configuration example of an advertisement distribution system according to an embodiment. The advertisement distribution system 1 shown in FIG. 1 searches for a related product from a product browsing history stored in a communication terminal 30 used by a reviewer considering purchase of the product, and sends an advertisement of the related product to the communication terminal. 30, a so-called advertisement distribution system is provided.

  As part of such an advertisement distribution service, the advertisement distribution system 1 is based on a product browsing history of a reviewer considering purchase of a product and a product purchase history of a group similar in configuration to the group to which the reviewer belongs. To decide which products to advertise. Then, the advertisement of the determined product is also distributed to the communication terminal 30 used by a purchaser who belongs to the same group as the examiner and can purchase the product. Accordingly, as one aspect, it is possible to give an opportunity to purchase the advertised product not only to the examiner but also to a purchaser belonging to the same group as the examiner. Therefore, the purchase opportunity of the advertised product can be increased.

  As illustrated in FIG. 1, the advertisement distribution system 1 accommodates a server device 10 and communication terminals 30 </ b> A to 30 </ b> C. Although FIG. 1 illustrates the case where three communication terminals are accommodated, the number of communication terminals accommodated by the server device 10 is not limited to the illustrated example, and an arbitrary number of communication terminals can be accommodated. . Hereinafter, the communication terminals 30 </ b> A to 30 </ b> C may be collectively referred to as “communication terminal 30” when collectively referred to without distinction.

  The server device 10 and the communication terminal 30 are connected via a network N so that they can communicate with each other. As the network N, any type of communication network such as the Internet, a LAN (Local Area Network), and a VPN (Virtual Private Network) can be adopted as an example regardless of wired or wireless.

  For example, the advertisement distribution system 1 can be implemented in a system that provides a social networking service (hereinafter referred to as SNS). In the following embodiments, a case where the advertisement distribution system 1 is installed in a system that provides SNS will be described.

  The server device 10 is a computer that provides the advertisement distribution service to the communication terminal 30. Further, the server device 10 also has an SNS server function, and provides a social networking service to the communication terminal 30 having a function of connecting to the network N.

  Here, in SNS, users belonging to the same group, for example, who are in a family relationship, can form one group. In the following examples, a case where users in a family relationship form one group as an example of the same group will be described. In addition, although the following example illustrates about the case where the users who are in a family relationship form one group, it does not prevent that the group in other relationships is included. For example, one group may be formed by users belonging to the same company.

  As an embodiment, the server device 10 can be implemented by installing an advertisement distribution program for realizing the above-described advertisement distribution service in a desired computer as package software or online software. For example, the server device 10 may be implemented as a Web server that provides the above-described advertisement distribution service, or may be implemented as a cloud that provides the above-described advertisement distribution service by outsourcing.

  The communication terminal 30 is a computer that receives the advertisement distribution service and the social networking service from the server device 10.

  As an embodiment, the communication terminal 30 may correspond to all computers that have succeeded in login authentication to the server device 10 through an account that is permitted to use the social networking service. For example, an information processing apparatus such as a desktop or notebook personal computer can be the communication terminal 30. Not only such stationary terminals but also various portable terminal devices can be the communication terminals 30. Examples of the “portable terminal device” here include mobile communication terminals such as smartphones, mobile phones and PHS (Personal Handyphone System), and slate terminals such as PDA (Personal Digital Assistants). included.

[Outline of advertisement distribution system 1]
FIG. 2 is a diagram for explaining an overview of the advertisement distribution system 1 (see FIG. 1) according to the embodiment. This advertisement distribution system 1 includes the following steps S1 to S7. First, the server device 10 includes, from members belonging to the same group in the SNS, a reviewer X who considers purchasing a product, a purchaser Y who can purchase the product, and a target person Z who is the target of the product. Is determined (step S1). As shown in FIG. 2, for example, in step S <b> 1, from among members in a family relationship, a child generation member is determined as a reviewer X, a parent generation member is determined as a purchaser Y, and a grandchild member Can be discriminated from the subject Z.

  Next, the product browsing history is uploaded to the server device 10 from the communication terminal 30A used when the examiner X considers the purchase of the product (step S2). Next, the server device 10 searches for a product (hereinafter referred to as “related product”) related to the product in the uploaded product browsing history (step S3). Next, the server device 10 advertises a product based on the retrieved related product and a product that has been purchased by a group similar in configuration to the group to which the examiner X belongs (hereinafter referred to as “advertisement product”). Is determined) (step S4).

  Next, the advertisement of the determined advertising product is distributed to the communication terminal 30B used by the purchaser Y (step S5). Next, using such communication terminal 30B, purchaser Y who has obtained a purchase opportunity orders an advertising product (step S6). Then, the ordered product is shipped to the members in the same group from the online shopping site that has received the order (step S7).

  As described above, the advertisement distribution system 1 can give the purchase opportunity of the advertisement product to the purchaser Y who can purchase the product as well as the examiner X who considers the purchase of the product. Can be increased.

[Configuration of Server Device 10]
FIG. 3 is a block diagram illustrating a functional configuration of the server apparatus 10 according to the embodiment. As illustrated in FIG. 3, the server device 10 includes a communication I / F (InterFace) unit 11, a storage unit 13, and a control unit 15. In FIG. 3, a solid line representing the input / output relationship of data is shown, but for the convenience of explanation, only a minimum portion is shown. That is, the input / output of data related to each processing unit is not limited to the illustrated example, and the input / output of data other than those illustrated, for example, between the processing unit and the processing unit, between the processing unit and data, and between the processing unit and the external Data input / output between devices may be performed.

  The communication I / F unit 11 is an interface that performs communication control with other devices such as the communication terminal 30.

  As an embodiment, the communication I / F unit 11 can employ a network interface card such as a LAN card. For example, the communication I / F unit 11 receives a product browsing history and information on members in the group from the communication terminal 30, or transmits an advertisement for an advertising product determined according to the product purchase history to the communication terminal 30. To do.

  The storage unit 13 includes various programs including application programs such as an OS (Operating System) executed by the control unit 15 and an advertisement distribution program for realizing the above-described advertisement distribution service, and data used for these programs. Is a device for storing

  As an embodiment, the storage unit 13 can be implemented as an auxiliary storage device in the server device 10. For example, the storage unit 13 can employ an HDD (Hard Disk Drive), an optical disk, an SSD (Solid State Drive), or the like. Note that the storage unit 13 does not necessarily have to be implemented as an auxiliary storage device, and can also be implemented as a main storage device in the server device 10. In this case, various semiconductor memory elements such as a RAM (Random Access Memory) and a flash memory can be employed for the storage unit 13.

  The memory | storage part 13 memorize | stores the goods database 13a and the family structure database 13b as an example of the database used for the program performed by the control part 15. FIG. In addition to the product database 13a and the family structure database 13b, other electronic data, for example, various lists such as a product target person list described later can be stored together.

  The product database 13a is a database in which, for example, a plurality of products that can be purchased on an online shopping site are stored together with associated items.

  As one embodiment, the product database 13a can store data in which items such as a product, a target person of the product, a purchaser who can purchase the product, and an event related to the product are associated. The “product” here refers to information for identifying a product, and examples thereof include a product name and a product ID. Further, “subject” and “purchaser” refer to information for identifying a position in the same group, and include, for example, a family structure such as “parent”, “child”, and “grandchild”. “Event” refers to information for identifying an event related to a product, and examples thereof include “birthday”, “moving”, and “childcare”.

  In addition, although goods, a target person, a purchaser, and an event were illustrated as an item contained in the goods database 13a here, it does not prevent that other items are included.

  The family composition database 13b is a database in which data on each member in a family relationship is stored for each family (that is, the same group).

  As one embodiment, data in which items such as the relationship, ID, age, sex, and address of each member are associated can be employed in the family structure database 13b. The term “relationship” here refers to information for identifying a relationship in a family relationship. “ID” refers to information for identifying individual members in the SNS. “Age”, “gender”, and “address” refer to information that identifies the age, sex, and address of each member.

  In addition, although the relationship, ID, age, sex, and an address were illustrated here as an item contained in the family structure database 13b, it does not prevent that an item other than this is included. For example, when users belonging to the same company form the same group, it is possible to include not only “relationships” in family relationships but also positions in the company as items.

  The control unit 15 has an internal memory for storing various programs and control data, and executes various processes using these.

  As an embodiment, the control unit 15 is implemented as a central processing unit, a so-called CPU (Central Processing Unit). The control unit 15 is not necessarily implemented as a central processing unit, and may be implemented as an MPU (Micro Processing Unit) or a DSP (Digital Signal Processor). Thus, the control part 15 should just be mounted as a processor, and it is not ask | required whether the classification is a general purpose type or a specialization type. The control unit 15 can also be realized by a hard wired logic such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  The control unit 15 virtually implements the following processing unit by developing the advertisement distribution program as a process on a work area of a RAM mounted as a main storage device (not shown). For example, as illustrated in FIG. 3, the control unit 15 includes an acquisition unit 15a, an extraction unit 15b, a determination unit 15c, a determination unit 15d, and a distribution unit 15e.

  The acquisition unit 15 a is a processing unit that acquires various types of information from the communication terminal 30.

  As one embodiment, the acquisition unit 15a acquires the product browsing history of the examiner X (see FIG. 2) from the communication terminal 30. In addition, the acquisition unit 15 a acquires information regarding the family structure to which the examiner X belongs from the communication terminal 30. Furthermore, the acquisition unit 15a acquires information regarding the schedule of the family to which the examiner X belongs from the communication terminal 30.

  The extraction unit 15b extracts a product (hereinafter, referred to as “same target product”) targeted for the same target person Z (see FIG. 2) from the products in the product browsing history of the examiner X. Part.

  FIG. 4 is a diagram illustrating a method of creating a commodity target person list according to the embodiment, and illustrates an example of functions of the acquisition unit 15a and the extraction unit 15b. The acquiring unit 15a acquires the product browsing history 31 from the communication terminal 30A used by the “child” who is the examiner X (see FIG. 2), and transmits the product browsing history 31 to the extracting unit 15b. The acquisition unit 15a can acquire the product browsing history 31 from, for example, an HTTP cookie of a web browser in the communication terminal 30A. In FIG. 4, the products A to G are illustrated as products in the acquired product browsing history 31.

  Next, the extraction unit 15b refers to the product database 13a, extracts the same target person product targeted for the same target person Z (see FIG. 2) from the products in the product browsing history 31, and the same A product target person list 21 listing the target person products is created. FIG. 4 shows an example in which products B, F, and G whose target person Z is “grandchild” among the products A to G in the product browsing history 31 are extracted as the same target person product.

  Thus, by extracting the same target person product from the product browsing history 31, it is possible to accurately advertise the product targeted for the target person Z, and thus it is possible to further increase the purchase opportunities for the advertised product. .

  Here, in the product database 13a, with reference to various information stored in the online shopping service providing server 50, a plurality of products and the above-described various items (such as “subject”) are associated with each other. For example, when the purchaser Y (see FIG. 2) purchases a product in the online shopping service, the server device 10 can receive the target person Z in the column “Who is the target person of the purchased product?” The product, the purchaser Y, and the target person Z can be associated with each other. In addition, when advertising a product to the communication terminal 30B of the purchaser Y via the SNS, a server device is displayed by displaying a “Give present to this person” button and having the purchaser Y make a purchase by pressing the button. 10 can also associate the product, the purchaser Y, and the target person Z. Furthermore, based on the conversation record in the same group of SNS, the server device 10 can also associate the product, the purchaser Y, and the target person Z.

  Returning to FIG. 3, the description of the functional configuration of the server device 10 will be continued. The determination unit 15c is a processing unit that determines a reviewer X (see FIG. 2), a purchaser Y (see FIG. 2), and a target person Z (see FIG. 2) from members in the same group. .

  In addition, the server device 10 stores the family configuration in which the configuration of each family is stored in order for the discrimination unit 15c to discriminate the examiner X, the purchaser Y, and the target person Z from among members in the same group. It is necessary to construct the database 13b in the storage unit 13. FIG. 5 shows a means for storing family member information in the same group in the family member database 13b as a method for constructing the family member database 13b according to the embodiment.

  In the SNS application of the communication terminal 30, the SNS provider that manages the server device 10 causes one of the family members (for example, the child c) to input the family information of the group members of the family member from the setting screen 32. Examples of family information include group member user names, ages, sexes, and addresses. Next, the acquisition unit 15a acquires the input family information. Then, the acquiring unit 15a stores the family list 17a of the family A in the family configuration database 13b. Thus, the family composition database 13b can be constructed by allowing one of the members to input the family information of the group member who uses the SNS.

  As shown in FIG. 5, when the family information is input from the setting screen 32, a portion where there is no corresponding person may be left blank. In addition, in the embodiment, information on “father”, “mother”, “child”, “spouse”, “grandchild” is input, but if necessary, other relationships such as “uncle” and “aunt” You may enter members. Furthermore, for family members who do not use SNS, such as elderly people and infants, a representative using SNS may be registered as a proxy to obtain the SNS ID, and family information may be input.

  Returning to FIG. 3, the description of the functional configuration of the server device 10 will be continued. The determination unit 15d advertises the product based on the product browsing history 31 (see FIG. 4) of the examiner X (see FIG. 2) and the product purchase history of a similar group having a configuration similar to the group to which the reviewer X belongs. It is a processing part which determines. The distribution unit 15e is a processing unit that distributes the advertisement of the determined advertisement product to the communication terminal 30.

  FIG. 6 is a diagram illustrating a method for creating the advertisement product list according to the embodiment, and illustrates an example of the function of the determination unit 15d. Based on the product subject person list 21 extracted by the extraction unit 15 b (see FIG. 3), the determination unit 15 d determines an advertising product and outputs the result as the advertising product list 23.

  More specifically, the determination unit 15d refers to the product database 13a and searches for related products related to the products B, F, and G in the product target person list 21. Further, the determination unit 15d extracts a family (hereinafter referred to as “similar family”) having a similar structure to the family A to which the examiner X (see FIG. 2) belongs with reference to the family configuration database 13b. Although details of the method for extracting similar families will be described later, in FIG. 6, family i is extracted as a similar family from the family configuration database 13 b.

  Next, the determination unit 15d determines an advertisement product based on the retrieved related product and the extracted product purchase history of the similar family. For example, the determining unit 15d can determine, as an advertising product, a product that has been purchased by a similar family from a plurality of related products. In FIG. 6, the determination unit 15 d selects a product H related to the product B, a product L related to the product F, and a product P related to the product G from the products in the product purchase history 19 of the family I who is a similar family. Are determined as advertising products.

  In this way, by selecting, as an advertising product, a product that has been purchased by a similar family from a plurality of related products, a product that is highly likely to be of interest to the family to which the examiner X belongs is accurately selected. This increases the number of opportunities for purchasing the advertised product.

  In addition, although it illustrated deciding an advertising product from the goods with the track record which the related family purchased here, it does not prevent that a determination means other than this is included. For example, the advertisement product may be determined from the products in the product search history of the related family reviewer X.

  FIG. 7 is a diagram illustrating a method for creating an advertisement distribution destination list according to the embodiment. The determination unit 15d can further select the advertising products in the advertising product list 23 as shown in FIG. More specifically, the determination unit 15d refers to the product database 13a and selects a product of the same purchaser Y (see FIG. 2) from the products in the advertisement product list 23 (hereinafter, “the same purchaser product”). Can be selected. In FIG. 7, the determination unit 15 d selects the products H and L whose “parent” is the purchaser Y from the products H, L, and P in the advertisement product list 23, and the parent in which the products are listed. An advertisement distribution destination list 25 is created.

  And the delivery part 15e which received the advertisement delivery destination list | wrist 25 for parents delivers the advertisement of goods H and L to the communication terminal 30B which "parent" uses.

  In this way, by selecting and advertising the same purchaser product of the corresponding purchaser Y, it is possible to accurately advertise the product that the purchaser Y is likely to be interested in. Can increase purchase opportunities.

  Although not shown in FIG. 7, the determination unit 15 d selects the product P whose “child” is the purchaser from the products H, L, and P in the advertisement product list 23, and performs the advertisement for the child. The distribution destination list 25 can be created. And the delivery part 15e which received the advertisement delivery destination list | wrist 25 for children can deliver the advertisement of the goods P to the communication terminal 30A (refer FIG. 2) which "child" uses. The distribution unit 15e can also distribute advertisements for the products H, L, and P in the advertisement product list 23 directly to the communication terminal 30B used by the parent.

[Method of calculating similarity]
Next, a means for obtaining the degree of similarity (hereinafter referred to as “similarity”) of the configuration of the family to which the examiner X belongs and the other family registered in the family configuration database 13b will be described. The similarity can be obtained, for example, by calculating the age similarity α.

To determine the age similarity alpha, from the following equation (1), calculates the Diff _age other families of interest.

Then, the calculated _{Diff age,} converted to age similarity α using the following (Table 1).

FIG. 8 is a diagram illustrating an example of calculating the age similarity α according to the embodiment. And information stored in the family list 17a families A, from the family list 17b on the information stored in the family i, as shown in FIG. 8, Diff _age family i is calculated as 1.2. Then, referring to (Table 1), the age similarity α of the family A is converted to 10.

Further, from the information stored in the family list 17a of the family A and the information stored in the family list 17c of the family C, the Diff _page of the family C is calculated as 18.2. Then, referring to (Table 1), the age similarity α of the family C is converted to 7.

  Here, it can be considered that the larger the value of the age similarity α, the more similar the configuration to the family. That is, it can be considered that the structure of the family A is more similar to that of the family A than the family C.

  As another means for obtaining the similarity, there is a means for calculating the gender similarity β. The gender similarity β is calculated from the following equation (2).

In equation (2), comparison source sex _i eq comparison destination sex _i is a value shown in the following (Table 2).

  FIG. 9 is a diagram illustrating an example of calculating the gender similarity β according to the embodiment. From the information stored in the family list 17a of the family A and the information stored in the family list 17b of the family A, the gender similarity β of the family A is calculated as 1.0, as shown in FIG. Further, from the information stored in the family list 17a of the family A and the information stored in the family list 17d of the family D, the sex similarity β of the family A is calculated as 0.4. In FIG. 9, the calculation is made with a value of 1 when the gender is male and 0 when the gender is female.

  Here, as the value of the gender similarity β approaches 1.0, it can be considered that the structure is similar to the family. That is, it can be considered that the composition of the family A is more similar to that of the family A than the family D.

  As another means for obtaining the similarity, there is a means that uses both the age similarity α and the gender similarity β. For example, the product of the age similarity α and the gender similarity β can be used as the family similarity γ to obtain the similarity.

  FIG. 10 is a diagram illustrating a calculation example of the family similarity γ according to the embodiment. From the information stored in the family list 17a of the family A and the information stored in the family list 17b of the family A, the age similarity α of the family A is converted to 10 as shown in FIG. The gender similarity β is calculated as 1.0. Thereby, the family similarity γ of the family A is calculated as 10.0.

  Further, from the information stored in the family list 17a of the family A and the information stored in the family list 17c of the family c, the age similarity α of the family c is converted to 7, and the sex similarity β of the family c is Calculated as 0.8. Thereby, the family similarity γ of the family c is calculated as 5.6.

  Further, from the information stored in the family list 17a of the family A and the information stored in the family list 17d of the family A, the age similarity α of the family D is converted to 8, and the sex similarity β of the family D is Calculated as 0.4. Thereby, the family similarity γ of the family d is calculated as 3.2.

  Here, as the value of the family similarity γ is larger, it can be considered that the configuration is similar to the family A. That is, it can be considered that the structure of the family C is more similar to the structure of the family A than the family D, and the structure of the family A is similar to the structure of the family A than the family U.

  In addition, although the age similarity degree α, the gender similarity degree β, and the family similarity degree γ are illustrated here as means for obtaining the family similarity, it does not prevent other means from being included.

[Process flow]
FIG. 11 is a flowchart illustrating the procedure of the advertisement distribution process according to the embodiment. As an example, this process is started when the product browsing history 31 is acquired from the communication terminal 30A of the examiner X. As shown in FIG. 11, when the product browsing history 31 of the examiner X is acquired (step S101), the extracting unit 15b refers to the product database 13a and selects the same target person from among the products in the product browsing history 31. The same target person product for which Z is the target is extracted (step S102).

  Subsequently, the determination unit 15d refers to the product database 13a and searches for related products related to the extracted same target product (step S103). Further, the determination unit 15d selects a product purchased by a similar group having a similar configuration to the group to which the examiner X belongs (hereinafter referred to as “similar group purchased product”) from the related products searched. (Step S104).

  Thereafter, the determination unit 15d determines the selected similar group purchase product as an advertising product (step S105). Subsequently, the determination unit 15d refers to the product database 13a and selects the same purchaser product targeted by the same purchaser Y from the determined advertisement product (step S106). Finally, the distribution unit 15e distributes the advertisement of the selected same purchaser product to the communication terminal 30B used by the purchaser Y (Step S107), and ends the process.

[effect]
As described above, the server device 10 according to the present embodiment includes the product browsing history 31 of the examiner X who considers the purchase of the product, and the product purchase history 19 of a group similar in configuration to the group to which the reviewer X belongs. Based on, the product to be advertised is determined. Then, the advertisement of the determined product is also distributed to the communication terminal 30 used by the purchaser Y who belongs to the same group as the examiner X and can purchase the product. Thereby, as one aspect, not only the examiner X but also a purchaser Y who belongs to the same group as the examiner X can be given a purchase opportunity for the advertised product. Therefore, according to the server device 10 according to the present embodiment, it is possible to increase the purchase opportunities for the advertised product.

  In addition, the server device 10 according to the present embodiment creates a product database 13a in which a plurality of products, a target person Z that is a target of each product, and a purchaser Y who can purchase each product are associated with each other. Then, referring to the product database 13a, a process of extracting the same target person product for the same target person Z from the products in the product browsing history 31 is further executed. Thereby, since the product targeted for the target person Z can be accurately advertised, the purchase opportunities for the advertised product can be further increased.

  The server device 10 according to the present embodiment further executes a process of searching for related products related to the same target product and a process of selecting a similar group purchased product purchased by a similar group from the related products. As a process for determining the advertisement product, a process for determining a similar group purchase product as the advertisement product is executed. Thereby, since it is possible to accurately select a product that is likely to be of interest to the family to which the examiner X belongs, it is possible to further increase the purchase opportunities for the advertised product.

  Further, the server device 10 according to the present embodiment further executes a process of selecting the same purchaser product targeted by the same purchaser Y from the similar group purchase product with reference to the product database 13a, and the advertisement. As a process of distributing the advertisement of the product to the purchaser Y, a process of distributing the advertisement of the same purchaser product to the corresponding purchaser Y is executed. Thereby, since it is possible to accurately advertise products that the purchaser Y is likely to be interested in, it is possible to further increase the purchase opportunities for the advertised products.

  Although the embodiments related to the disclosed apparatus have been described above, the present invention may be implemented in various different forms other than the above-described embodiments. Therefore, another embodiment included in the present invention will be described below.

[Application example for adjusting the distribution order]
For example, the server device 10 can calculate the recommended value δ for each product determined as the advertising product, and can adjust the order in which the advertisement is distributed based on the calculated recommended value δ. As the recommended value δ, for example, a value obtained by multiplying the product-related evaluation value S representing the degree of association when retrieved as a related product and the parameter W used for adjusting the product advertised by the SNS provider is obtained. Can be used. The parameter W may be set based on a product category, manufacturer, product review, and the like. Further, the advertisement product is determined from the products in the product purchase history of a plurality of similar families, and the order in which the advertisements are distributed is adjusted by multiplying the recommended value δ by the family similarity γ of each similar family. Also good.

  In this way, by adjusting the order in which advertisements are distributed by multiplying the recommended value δ and the family similarity γ, it is possible to advertise in order from the products that are most likely to be interested. Increase opportunities to purchase products.

[Application examples for changing advertising products]
For example, the server device 10 can change the advertising product based on the address information of the members in the same group. For example, when the examiner X and the purchaser Y are in the vicinity, the server device 10 can advertise low-priced products (for example, daily necessities, sweets, baby diapers, etc.) as advertising products with high frequency. As a result, the examiner X and the purchaser Y come to visit each other because the product purchased after the advertisement is passed, so that communication between the examiner X and the purchaser Y is activated. Can do. On the other hand, when the examiner X and the purchaser Y are away, the server device 10 can advertise an expensive product (for example, shoes or baby clothes) as an advertising product at a low frequency. As described above, since the reviewer X and the purchaser Y come to visit each other because the product purchased after the advertisement is passed, communication between the reviewer X and the purchaser Y is made. Can be activated.

[Application example of product audience list]
In the above embodiment, the case where the commodity target person list 21 is created from the commodity in the commodity browsing history 31 of the examiner X is exemplified, but it does not prevent other means from being included. For example, the commodity target person list 21 can be created based on events scheduled in the same group. FIG. 12 is a diagram illustrating a method for creating a merchandise target person list according to a modification. First, the acquisition part 15a acquires the information of the schedule list 33 memorize | stored in the communication terminal 30, and transmits to the extraction part 15b. Next, the extraction unit 15 b refers to the product database 13 a, extracts products corresponding to the events stored in the schedule list 33, and outputs the extracted products as the product target person list 21. In FIG. 12, the acquisition unit 15 a acquires “athletic meet”, “excursion”, and “芋 hori” as scheduled events from the schedule list 33, and the extraction unit 15 b corresponds to such an event and the target person is “ Products T, U, and V are extracted as products that are “grandchildren”. The subsequent processing can be performed in the same manner as in the above embodiment.

  In this way, by creating a product target person list based on events scheduled in the same group, it is possible to accurately advertise products targeting the target person Z. Increase purchase opportunities.

[Distribution and integration]
In addition, each component of each illustrated apparatus does not necessarily have to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the acquisition unit 15a, the extraction unit 15b, the determination unit 15c, the determination unit 15d, or the distribution unit 15e may be connected as an external device of the server device 10 via a network. In addition, the functions of the server device 10 described above are realized by having the acquisition unit 15a, the extraction unit 15b, the determination unit 15c, the determination unit 15d, or the distribution unit 15e each having a network connection and cooperation. You may do it. In addition, the above-mentioned server device is provided by having another device, for example, a file server, or the like, which has all or a part of the product database 13a and the family structure database 13b stored in the storage unit 13 and connected to each other through a network. Ten functions may be realized. In addition, in the above embodiment, the case where the above advertisement distribution service is provided in the form of a client server system is exemplified. However, the advertisement distribution service may not necessarily be provided by the client server system, and the computer in which the advertisement distribution program is installed. May be provided as a standalone.

[Advertising program]
The various processes described in the above embodiments can be realized by executing a prepared program on a computer such as a personal computer or a workstation. In the following, an example of a computer that executes an advertisement distribution program having the same function as that of the above-described embodiment will be described with reference to FIG.

  FIG. 13 is a diagram illustrating a hardware configuration example of a computer that executes the advertisement distribution program according to the embodiment. As illustrated in FIG. 13, the computer 100 includes an operation unit 110 a, a speaker 110 b, a camera 110 c, a display 120, and a communication unit 130. Further, the computer 100 includes a CPU 150, a ROM 160, an HDD 170, and a RAM 180. These units 110 a to 180 are connected via a bus 140.

  As shown in FIG. 13, the HDD 170 stores an advertisement distribution program 170a that exhibits the same functions as the acquisition unit 15a, the extraction unit 15b, the determination unit 15c, the determination unit 15d, and the distribution unit 15e described in the above embodiment. Is done. This advertisement distribution program 170a may be integrated or separated as with each component of the acquisition unit 15a, extraction unit 15b, determination unit 15c, determination unit 15d, and distribution unit 15e shown in FIG. That is, the HDD 170 does not necessarily have to store all the data shown in the above embodiment, and it is sufficient that data used for processing is stored in the HDD 170.

  Under such an environment, the CPU 150 reads the advertisement distribution program 170 a from the HDD 170 and expands it in the RAM 180. As a result, the advertisement distribution program 170a functions as an advertisement distribution process 180a as shown in FIG. The advertisement distribution process 180a expands various data read from the HDD 170 in an area allocated to the advertisement distribution process 180a in the storage area of the RAM 180, and executes various processes using the expanded various data. For example, the process shown in FIG. 11 is included as an example of the process executed by the advertisement distribution process 180a. Note that the CPU 150 does not necessarily operate all the processing units shown in the above-described embodiments, and it is only necessary to virtually realize a processing unit corresponding to a process to be executed.

  The advertisement distribution program 170a does not necessarily have to be stored in the HDD 170 or the ROM 160 from the beginning. For example, the advertisement distribution program 170a is stored in a “portable physical medium” such as a flexible disk inserted into the computer 100, so-called FD, CD-ROM, DVD disk, magneto-optical disk, IC card or the like. The computer 100 may acquire and execute the advertisement distribution program 170a from these portable physical media. Further, the advertisement distribution program 170a is stored in another computer or a server device connected to the computer 100 via a public line, the Internet, a LAN, a WAN, etc., and the computer 100 acquires the advertisement distribution program 170a from these. May be executed.

DESCRIPTION OF SYMBOLS 1 Advertisement delivery system 10 Server apparatus 11 Communication I / F part 13 Memory | storage part 13a Product database 13b Family structure database 15 Control part 15a Acquisition part 15b Extraction part 15c Discriminating part 15d Determination part 15e Delivery part 30A, 30B, 30C Communication terminal

Claims (9)

On the computer,
The target person who is the target of the searched search product, the reviewer who considers the purchase of the search product, and the purchaser who belongs to the same group as the target person and the reviewer and can purchase the search product And a process for determining
A process of determining an advertising product based on the product browsing history of the reviewer and a product purchase history of a similar group similar in configuration to the group to which the reviewer belongs;
An advertisement distribution program that executes processing for distributing an advertisement of the advertisement product to the purchaser. In the computer,
A process for creating a product database in which a plurality of products, the target users of the products, and the purchasers who can purchase the products are associated with each other;
The process for extracting the same target person product targeted by the same target person from the products in the product browsing history with reference to the product database is further executed. Ad delivery program. In the computer,
A process of searching for related products related to the same target product,
A process of selecting a similar group purchased product purchased by the similar group from the related products, and
The advertisement distribution program according to claim 2, wherein a process for determining the similar group purchase product as the advertisement product is executed as the process for determining the advertisement product. In the computer,
Referring to the product database, further performing a process of selecting the same purchaser product targeted by the same purchaser from the similar group purchase product,
The advertisement distribution program according to claim 3, wherein a process of distributing an advertisement of the same purchaser product to the corresponding purchaser is executed as a process of distributing the advertisement of the advertisement product to the purchaser. In the computer,
Processing for calculating the similarity between the group to which the reviewer belongs and the similar group, and the degree of association between the product in the product browsing history and the advertising product,
The advertisement distribution according to any one of claims 1 to 4, further comprising: a process of determining an order of distributing advertisements of the advertisement product by a weighted average based on the similarity and the relevance. program. In the computer,
The process for changing the advertisement product is further executed based on address information of the target person, the examiner, and the purchaser. Advertising distribution program. In the computer,
Further executing a process of further associating each product in the product database with an event related to the product,
3. The process of extracting the same target product from an event scheduled in a group to which the reviewer belongs is executed as a process of extracting the same target product with reference to the product database. The advertisement delivery program as described in any one of -4. An advertisement distribution system having a distribution device for distributing an advertisement and a display device for displaying the advertisement,
The distribution device includes:
The target person who is the target of the searched search product, the reviewer who considers the purchase of the search product, and the purchaser who belongs to the same group as the target person and the reviewer and can purchase the search product A discriminator for discriminating between
A determination unit that determines an advertisement product based on the product browsing history of the reviewer and a product purchase history of a similar group having a configuration similar to the group to which the reviewer belongs;
An advertisement distribution system comprising: a distribution unit that distributes an advertisement of the advertisement product to the purchaser. Computer
The target person who is the target of the searched search product, the reviewer who considers the purchase of the search product, and the purchaser who belongs to the same group as the target person and the reviewer and can purchase the search product And a process for determining
A process of determining an advertising product based on the product browsing history of the reviewer and a product purchase history of a similar group similar in configuration to the group to which the reviewer belongs;
And a process of delivering an advertisement of the advertisement product to the purchaser.

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