JP5759084B1 - Information processing apparatus, information processing method, and program - Google Patents

Abstract

The information processing apparatus includes user information including the address, name, change history of the address and name, and gender of the user who is using the service provided on the Internet, and the service usage history information of the user in the service. A storage unit that stores information associated with the user identification information, and two users who are estimated to be couples based on the user information, and based on the service usage history information of the two users. Generating correlation data indicating a correlation between the service used by one of the two users and the service used by the other user, storing the correlation data in the storage unit, and identifying the first user's identification information and the second Service of each of the first user and the second user, which is received based on the identification information of the first user and the second user, which receives the inquiry request including the user identification information The use history, against the said correlation data, the first user calculates a goodness of fit of the second user, and having a control unit for outputting data indicating the goodness of fit.

Description

  The present invention relates to an information processing apparatus capable of providing a service such as an EC (Electronic Commerce) site on the Internet, and an information processing method and program in the information processing apparatus.

  Conventionally, in a service such as an EC site provided on the Internet, one user is basically a user (providing object) of the service, but among these users are a couple. Users are also included.

  However, it is difficult to estimate two users who are couples, and the fact that these users are couples is not utilized in providing services.

  In Patent Document 1 below, a face is detected from images of a plurality of persons appearing on a camera, and the characteristics of the face are analyzed to estimate attributes such as gender and age of the person having the face. And an apparatus for determining a group attribute based on the number of detected faces. In the apparatus, for example, the group attribute of two men and women of the same age is regarded as a couple, and information corresponding to the group attribute is provided to a person belonging to the group.

JP 2004-227158 A

  However, in the technique described in Patent Document 1, in order to estimate a couple, it is essential that the couple's face image is detected from the same image. It is not possible to estimate a couple from users of services that often do not have facial images registered.

  In addition, in the technique described in Patent Document 1, even if a couple is estimated, the result is only used for providing information to the couple and is not used for other users.

  In view of the circumstances as described above, an object of the present invention is to provide an information processing apparatus, an information processing method, and a program capable of effectively utilizing each use history of a married user who uses a service on the Internet for compatibility determination between users. Is to provide.

  In order to solve the above-described problem, an information processing apparatus according to an embodiment of the present invention includes a storage unit and a control unit. The storage unit includes user information including at least address, name, change history of the address and name, and gender of a plurality of users who use services provided on the Internet, and service use of each user in the service The history information is stored in association with the identification information of each user. The control unit identifies two users estimated to be couples among the plurality of users based on the user information, and stores the service usage history information of each of the two specified users. Based on this, correlation data indicating the correlation between the service used by one of the two users and the service used by the other user is generated and stored in the storage unit. Further, the control unit accepts an inquiry request including identification information of the first user and identification information of at least one second user, and based on the identification information of the first user and the second user. The service usage history of each of the first user and the second user in the service extracted with each other is compared with the generated correlation data, and the first user and the second user are compared. The user's fitness is calculated, and data indicating the calculated fitness is output.

  In this way, the information processing apparatus effectively uses the service usage history of each user on the Internet, estimates the couple from the user who uses the service, and generates correlation data between the couple. It is possible to objectively determine the compatibility between the two (ease of living with the other party, ease of action, or high possibility of matching the personality). In addition, since services are usually the basic unit of services on the Internet, it is extremely difficult to identify multiple users as a couple even if information about marriage and unmarried status is obtained. According to the invention, a couple can be estimated with high accuracy. Here, the service on the Internet is a service such as e-commerce service or SNS (Social Networking Service). Service usage history is, for example, purchase history of products on e-commerce sites, travel reservation history on travel reservation services, listing / bidding / successful bid history on auction sites, recipe browsing history on recipe providing sites, etc. It is. The inquiry request may be received by being received from another information processing apparatus via a network, and the data indicating the fitness may be transmitted to the other information processing apparatus via the network. .

  The storage unit may store a new registration date of the address and a change registration date of the address. In this case, the control unit, based on the user information stored in the storage unit, the difference between the registration date of the current address is within a predetermined number of days, and two people with different addresses before the current address May be estimated to be a couple.

  Thereby, the information processing apparatus can further improve the accuracy of the couple's estimation.

  The control unit has the same last name and address stored in the storage unit among the plurality of users, and one of the last characters in the change history of the name stored in the storage unit is the other If the last name is changed, it may be estimated that two users having different genders are couples.

  Thereby, the information processing apparatus can estimate a couple with high accuracy from users who use services on the Internet.

  The control unit estimates the marriage time of the two users based on the last name change time of one of the identified two users, and the two users before the estimated marriage time The correlation data may be generated based on each service usage history.

  It is thought that the service usage tendency of the user is different before and after marriage, so the information processing device generates correlation data based on the service usage history before marriage (that is, at the time of dating) of married men and women, It is possible to objectively judge the compatibility of men and women who want to get married.

  The control unit is based on the service usage history of each of two users of the plurality of identified two sets of users who have at least one predetermined number of service usages before the marriage period. Alternatively, the correlation data may be generated.

  As a result, the information processing apparatus generates correlation data using the service usage history of a couple of users who have used a predetermined number of services before marriage, thereby improving the accuracy of the correlation data and the compatibility information. Can be improved.

The control unit generates the correlation data based on the service usage history of each of the two users having an elapsed period of time equal to or longer than the predetermined period from the marriage time among the plurality of specified two users. May be.

  Thereby, the information processing apparatus generates the correlation data based on the service history of the desired couple who has a marriage period of a predetermined period or more, that is, the marriage relationship continues for a long period of time. The accuracy of the compatibility information can be improved.

  The control unit may generate recommendation information for recommending a product or service for couples to at least one of the two specified users.

  Thereby, the information processing apparatus can provide recommendation information personalized for the couple by effectively utilizing the fact that the two users are assumed to be couples.

An information processing method according to another aspect of the present invention includes:
User information including at least address, name, change history of address and name, and gender of a plurality of users using services provided on the Internet, and service usage history information of each user in the service, Storing each in association with the identification information of the user,
Identifying two users who are estimated to be couples among the plurality of users based on the user information;
Based on the service usage history information of each of the two specified users, correlation data indicating a correlation between the service used by one of the two users and the service used by the other is generated. about,
Receiving an inquiry request including identification information of a first user and identification information of at least one second user;
The generated correlation between the service usage histories of the first user and the second user in the service extracted based on the identification information of the first user and the second user, respectively. Collating with relational data to calculate the fitness of the first user and the second user; and
Outputting data indicating the calculated fitness.

A program according to another embodiment of the present invention is provided in an information processing device.
User information including at least address, name, change history of address and name, and gender of a plurality of users using services provided on the Internet, and service usage history information of each user in the service, Storing each of the user identification information in association with each other;
Identifying two users who are estimated to be couples among the plurality of users based on the user information;
Based on the service usage history information of each of the two specified users, correlation data indicating a correlation between the service used by one of the two users and the service used by the other is generated. Steps,
Receiving an inquiry request including identification information of the first user and identification information of at least one second user;
Based on the identification information of the first user and the second user, respectively, the usage histories of the first user and the second user in the service, and the generated correlation Collating with the data, calculating the fitness of the first user and the second user;
And outputting the data indicating the calculated fitness.

  As described above, according to the present invention, it is possible to effectively use each use history of a couple user who uses a service on the Internet for determination of compatibility between men and women. However, the effects described here do not necessarily limit the present invention.

It is the figure which showed the structure of the compatibility information provision system which concerns on embodiment of this invention. It is the figure which showed the hardware constitutions of EC server in the said system. It is the figure which showed the structure of the database which the said EC server has. It is the flowchart which showed the flow of the production | generation process of the correlation data by the said EC server. It is the flowchart which showed the flow of the production | generation process of the compatibility information by the said EC server.

  Embodiments of the present invention will be described below with reference to the drawings.

[System configuration]
FIG. 1 is a diagram illustrating a configuration of the compatibility information providing system according to the present embodiment.

  As shown in the figure, the system includes an EC server 100 on the Internet 50, a plurality of user terminals 200, and a marriage consultation service server 300.

  The EC server 100 is a server managed by an operator of an EC service using an EC site such as a virtual shopping mall, and is connected to a plurality of user terminals 200 via the Internet 50.

  The user terminal 200 (200A, 200B, 200C ...) is a terminal used by a user (user A, user B, user C ...), for example, a smartphone, a mobile phone, a tablet PC (Personal Computer), Notebook PC, desktop PC, etc.

  The marriage consultation service server 300 is a server managed by an operator of a marriage consultation service using a marriage consultation service site, and is connected to a plurality of user terminals 200 via the Internet 50.

  In response to an access request from the user terminal 200 of a user who has registered as a member of the EC service or a user who has not registered as a member, the EC server 100 can provide various web pages in the EC site such as a top page, a product page, a store page, etc. (HTML (HyperText Markup Language) document) is generated and provided, and product search and product purchase processing (including processing such as inventory update and settlement) are executed.

  In response to an access request from the user terminal 200 of a user who has registered as a member for the marriage consultation service, the marriage service server 300 generates various web pages such as a top page and a page for providing introduction information of other hetero member users. The message information is transmitted to the opposite sex member user input by the user and executed. For providing the introduction information of the other hetero member user, for example, profile information of each member user is used, and compatibility information described later provided from the EC server 100 is also used.

  The user terminal 200 accesses the EC server 100 and the marriage consultation service server 300, receives the web page, and displays it on the screen by a browser. The user of the user terminal 200 may be a member of both the EC service and the marriage consultation service.

  The user of the user terminal 200 searches for merchandise in the EC site via the screen displayed by the browser, and obtains information on the desired merchandise. If the user likes the product with reference to the product information, the user can purchase the product at the site and obtain the product.

  Also, the user browses the introduction information on the marriage counseling service site, searches for other heterosexual users, sends a message, and requests to participate in events such as parties via the above screen. can do.

  In this embodiment, the EC server 100 and the marriage consulting service server 300 can communicate with each other, and the EC server 100 is a member of the marriage consulting service in response to an inquiry request from the marriage consulting service server 300. It is possible to provide compatibility degree information indicating the degree of compatibility (fitness) between men and women. Although details will be described later, the compatibility information is generated based on user information stored in the EC server 100 and service usage (product purchase) history information on the user's EC site.

[Hardware configuration of EC server]
FIG. 2 is a diagram showing a hardware configuration of the EC server 100. As shown in the figure, an EC server 100 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, an input / output interface 15, and a bus 14 for connecting them together. Is provided.

  The CPU 11 appropriately accesses the RAM 13 and the like as necessary, and performs overall control of the entire blocks of the EC server 100 while performing various arithmetic processes. The ROM 12 is a non-volatile memory in which an OS to be executed by the CPU 11, firmware such as programs and various parameters are fixedly stored. The RAM 13 is used as a work area for the CPU 11 and temporarily holds the OS, various applications being executed, and various data being processed.

  A display unit 16, an operation receiving unit 17, a storage unit 18, a communication unit 19, and the like are connected to the input / output interface 15.

  The display unit 16 is a display device using, for example, an LCD (Liquid Crystal Display), an OELD (Organic ElectroLuminescence Display), a CRT (Cathode Ray Tube), or the like.

  The operation reception unit 17 is, for example, a pointing device such as a mouse, a keyboard, a touch panel, and other input devices. When the operation reception unit 17 is a touch panel, the touch panel can be integrated with the display unit 16.

  The storage unit 18 is a non-volatile memory such as an HDD (Hard Disk Drive), a flash memory (SSD; Solid State Drive), or other solid-state memory. The storage unit 18 stores the OS, various applications, and various data.

  As will be described later, particularly in the present embodiment, the storage unit 18 includes a product information database, a user information database, a purchase history information database, and a correlation database.

  The communication unit 19 is, for example, an NIC (Network Interface Card) for Ethernet, and performs communication processing between the user terminal 200 and the marriage consultation service server 300.

  Although not shown, the basic hardware configuration of the marriage consultation service server 300 is the same as that of the EC server 100.

[EC server database configuration]
FIG. 4 is a diagram showing the configuration of the database that the EC server 100 has.

  As shown in the figure, the EC server 100 has a product information database 31, a user information database 32, a purchase history information database 33, and a correlation database 34 in the storage unit 18.

  The merchandise information database 31 is information on merchandise that the EC server 100 sells on the EC site, that is, merchandise ID, merchandise name, manufacturer name, price, merchandise image, merchandise description text, and genre to which the merchandise belongs (large genre). (Medium genre, small genre, etc.) Information such as information is stored for each product. In addition, the product information database 31 may include information indicating the similarity between genres of each product.

  The user information database 32 includes information related to the user, that is, user ID, password, name, email address, telephone number, address, (new) registration date of the address, change history (including change registration date), age (Layer), gender, birthday and other information are stored for each user.

  The purchase history information database 33 includes information (for example, a product ID) related to a product (service used by each user) purchased by each user of the user terminal 200, information such as a user ID, purchase date and time, and a delivery destination. The database 31 and the user information database 32 are stored in association with each other.

  The correlation database 34 stores correlation data generated based on each data on the purchase history information database 33 relating to a pair of users estimated to be a couple identified from the user information database 32. ing.

  Here, the correlation data indicates the relationship between product purchase tendencies of husbands and wives of each pair of users who are estimated to be couples among users using the EC site.

  In the present embodiment, the correlation data is generated based on information related to products purchased by a user who is estimated to be a couple before marriage. This is because the product purchase tendency of the user may be different before and after marriage due to changes in the environment, etc., so that correlation data is generated based on the product purchase history before marriage (that is, at the time of dating) of married men and women. This is because it is considered that the compatibility of men and women who want to get married can be judged objectively.

More specifically, examples of the correlation data include the following.
・ Relationship that husband purchases book frequently before marriage (with predetermined frequency), and wife purchases pet food frequently before marriage ・ Husband frequently purchases golf equipment before marriage The wife frequently purchased sunscreen cosmetics before marriage.The husband frequently purchased beer before marriage, and the wife frequently purchased kitchenware before marriage. The relationship that the husband had frequently purchased PC peripherals before marriage, and the wife had applied for wiring and installation services as an option along with the purchase of home appliances before marriage

  In the correlation data, the relationship between specific products extracted from the product purchase history may be used, or a higher level concept is made using the genre (large genre, medium genre, small genre, etc.) to which the product belongs. Data may be generated. For example, in the above example, if the correlation data includes the genre of books, novels and pet food, and the genre of pet food for cats, the title of the book, the name of the publisher, the name of the pet food, May not be included.

  In the correlation database, it is only necessary to be able to grasp the merchandise purchase tendency of the husband and wife, and there is no need to store user information (personal information) of the husband and wife.

  The correlation database may be generated every fixed period, or may be generated when, for example, it is detected that the last name has been changed in the user information of a certain user.

  These databases are used by referring to each other as necessary in the correlation data generation process and the compatibility information generation process by the EC server 100 described later.

[Operation of EC server]
Next, the operation of the EC server 100 configured as described above will be described. The operation is executed in cooperation with hardware such as the CPU 11 and the communication unit 19 of the EC server 100 and software stored in the storage unit 18. In the following description, for the sake of convenience, the CPU 11 is an operation subject.

(Correlation data generation)
First, the correlation data generation process will be described. FIG. 4 is a flowchart showing the flow of the correlation data generation processing by the EC server 100.

  As shown in the figure, the CPU 11 of the EC server 100 first refers to the user information database 32 to extract male and female users having the same current address and last name (step 41).

  Subsequently, the CPU 11 refers to the user information database 32 to determine whether one of the extracted male and female users has been changed to the other last name (step 42).

  If it is determined that one surname has been changed to the other surname (Yes), the CPU 11 refers to the user information database 32 and the registration date shift of the current addresses of both users is a predetermined number of days (for example, one month). Etc.) is determined (step 43).

  When it is determined that the difference between the registration dates of the current addresses of both users is within a predetermined number of days (Yes), the CPU 11 determines whether or not the addresses immediately before the current addresses of both users are different from each other (step 44). .

  If it is determined that the addresses before the current addresses of both users are different from each other (Yes), the CPU 11 estimates that both users are couples (step 45).

  Here, when three or more users are extracted in the step 41, the CPU 11 compares any one user with other users having different genders as the comparison target. Using the conditions in steps 42 to 44, two users that match the conditions may be extracted.

  Subsequently, the CPU 11 refers to the user information database 32 and estimates the change time of one surname of the two users estimated as the couple as the marriage time (step 46).

  Subsequently, the CPU 11 determines whether or not the marriage period is equal to or longer than a predetermined period (eg, 3 years, 5 years, etc.) based on the elapsed period from the estimated marriage time to the present time (step 47).

  Here, conditions are set for the marriage period because the product purchase history of a desirable couple who has been in a marriage relationship for a long time is used to generate correlation data, and the accuracy of the determination of the compatibility of men and women, which will be described later, is・ Because credibility is expected to improve.

  When it is determined that the marriage period is equal to or longer than the predetermined period (Yes), the CPU 11 extracts the purchase history information before the marriage of each of the two users from the purchase history information database 33 (step 48).

  Subsequently, based on the extracted purchase history information, the CPU 11 determines whether or not the number of purchases of at least one product is a predetermined number (for example, 10, 20, etc.) or more (step 49).

  The reason why the number of items purchased is limited here is that, when the number of purchases is small, it is impossible to grasp the tendency that the products are frequently purchased in the first place.

  When it is determined that at least one of the product purchase numbers is equal to or greater than the predetermined number (Yes), the CPU 11 analyzes each product purchase tendency based on the product purchase history information of both users, and is frequently purchased, for example. Correlation data is generated based on the product genre (step 50).

  The correlation data may be generated based on the genre of the purchased product as described above. Here, even when it is determined that a certain user has a tendency to frequently purchase products of a certain genre, the total purchase number of products may be greatly different for each user (if the predetermined number or more).

  Of course, there may be a plurality of genres of products that are determined to be frequently purchased. In that case, the correlation data may be generated by multiplying the number of genres that the husband frequently purchases and the number of genres that the wife frequently purchases for each couple. The plurality of genres may be handled collectively, and only one correlation data may be generated for one couple.

  The correlation data is generated sequentially or periodically for each set of users estimated to be married couples and accumulated in the correlation database 34.

(Generation of compatibility information)
Next, a process for generating compatibility information based on the correlation data will be described. FIG. 5 is a flowchart showing a flow of generation and transmission processing of compatibility information in response to a compatibility level inquiry request from the marriage consultation service server 300 by the EC server 100.

  As shown in the figure, the CPU 11 of the EC server 100 determines whether or not a compatibility degree inquiry request has been received from the marriage consultation service server 300 (step 51).

  The compatibility level inquiry request includes information (for example, user ID) for identifying specific male and female users who are members of the marriage consultation service and members of the EC service. The user ID is the same as the user information database 32 of the EC server 100.

  The inquiry request requests an inquiry about the degree of compatibility between at least one male user and at least one female user.

  When determining that the compatibility degree inquiry request has been received (Yes), the CPU 11 searches the user information database 32 for the user ID included in the affinity degree inquiry request, thereby specifying the inquiry target user (step 52). ).

  Subsequently, the CPU 11 extracts each item purchase history information of the inquiry target user from the purchase history information database 33 (step 53).

  Subsequently, the CPU 11 collates each extracted purchase history information with each correlation data in the correlation database 34 (step 54).

  Subsequently, the CPU 11 calculates the degree of fitness between the relationship between the product purchase tendencies and the correlation data (step 55).

  As a specific example, for example, a case is assumed where the compatibility degree inquiry request is an inquiry about the compatibility degree between one male user and one female user. In this case, the CPU 11 determines the genre of the product frequently purchased by the male user and the female user from each product purchase history of the male user and the female user, and is the same as or similar to the relationship of the determined genre. It is determined whether the relationship is included in the correlation data.

  At that time, the CPU 11 considers, for example, the similarity between the genres of the products, and the similarity between the purchase product genre of the husband in the correlation data and the genre of the product that the male user among the inquiry target users frequently purchases. And the degree of similarity between the wife's purchased product genre in the correlation data and the genre of the product frequently purchased by female users among the users to be queried.

  The similarity may be calculated based on, for example, the degree of coincidence of small genres, medium genres, and large genres of products. In other words, the correlation data and the purchase product of the user to be inquired match the large, medium, and small genres, or match only the large genre and the medium genre. The degree of similarity may be set step by step depending on whether or not both match.

  And the similarity regarding a male user calculated in this way and the similarity regarding a female user may be multiplied, and you may calculate as the said fitness.

  For example, as a correlation data, it is assumed that there is a relationship in which a husband frequently purchases beer before marriage and the wife frequently purchases kitchen utensils before marriage. In this case, if the product that the male user frequently purchases among the users to be inquired is beer and the product that the female user frequently purchases is a dish, the product genre of the male user is large (beverage), medium (sake) ) / Small (beer) genre is consistent with the correlation data, and the female user's product genre is consistent in the large (daily goods) and medium (tableware) genres. Extremely high. On the other hand, if the product that the male user frequently purchases among the inquired users is beer and the product that the female user frequently purchases is one-piece, the product genre of the male user matches the correlation data. However, since the product genre of the female user does not match even in a large genre (fashion), the degree of fitness is extremely low.

  Here, since the correlation data is generated based on product purchase histories of various users estimated as couples, for example, the genre of a wife's purchase product correlated with a specific genre of products purchased by her husband As a result, various genres may be included. In this case, the CPU 11 may pick up data that has the highest similarity in the relationship between the genres of the purchased products of the respective inquiry target users among the plurality of correlation data.

  When the fitness level is calculated, the CPU 11 transmits data indicating the fitness level to the marriage consultation service server 300 as compatibility level information indicating the compatibility level between the inquiry target users (step 56).

  Thereby, the marriage consulting service server 300 introduces the inquiry target female (male) user to the inquiry target male (female) user based on the compatibility information (if the compatibility is high). Introduce, do not introduce if low).

  As described above, according to the present embodiment, the EC server 100 effectively utilizes data that is less related to compatibility between users, such as product purchase history on each user's EC site. By estimating couples from users and generating correlation data between couples, compatibility between other male and female users who are members of the marriage consultation service can be objectively determined. In addition, since services are usually the basic unit of services on the Internet, it is extremely difficult to identify multiple users as a couple even if information about marriage and unmarried status is obtained. According to the embodiment, the EC server 100 estimates the couple with high accuracy by using information such as the last name and address change history, the shift of the registration date of the current address between the users, and the address immediately before the current address. can do.

[Modification]
The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the present disclosure.

  The order of the processes in steps 41 to 43 in FIG. 4 in the above-described embodiment may be changed, and at least one of these three steps may be omitted.

  In the above-described embodiment, the merchandise sales service is given as an example of the service operated by the EC server 100. However, the EC site is not limited to this, and for example, any service such as a travel reservation site, an auction site, a recipe providing site, etc. Can be used to generate the correlation data. That is, the correlation data includes the services used by one user (husband) of each pair of users estimated to be a couple (including purchased products, subscribed travel products, browsed recipes, etc.) and the other user ( Shows the correlation with the service used by his wife. As a result, for example, my husband frequently purchases surfing equipment, my wife applies for travel to a resort in the southern country, or my husband frequently purchases sake, and my wife cooks Japanese on the recipe site. The relationship that the recipe is frequently viewed can be acquired.

  In the above-described embodiment, the genre of the product is used to determine the compatibility level (the degree of compatibility between the correlation data and the relationship between the product purchase histories of the users for which compatibility is inquired), but other information (for example, Manufacturer (brand) name etc.) may be used.

  In the above-described embodiment, the correlation data is used for transmission processing of compatibility level information in response to a compatibility level inquiry request from the marriage consultation service server 300. However, the correlation data may be used for other processing. For example, the EC server 100 generates recommendation information for recommending a product or service for couples to the two users estimated as the couple, and sends the recommendation information to at least one user terminal 200 of the two users. May be sent. Thereby, the EC server 100 can provide the recommendation information personalized for the couple by effectively utilizing the fact that the two users are assumed to be couples.

  In the above-described embodiment, the reception of the inquiry request from the marriage consultation service server 300 and the provision of the compatibility information to the marriage consultation service server 300 are executed as transmission / reception processing by the communication unit 19 of the EC server 200. However, the reception of the above inquiry request and the provision of compatibility information are performed by inputting or outputting data recorded on a recording medium such as an HDD or a flash memory via an interface such as a USB cable without using a communication unit. May be executed.

11 ... CPU
DESCRIPTION OF SYMBOLS 18 ... Memory | storage part 19 ... Communication part 31 ... Product information database 32 ... User information database 33 ... Purchase history information database 34 ... Correlation database 50 ... Internet 100 ... EC server 200 ... User terminal 300 ... Marriage consultation service server

Claims (9)

User information including at least an address, name, change history of the address and name, and gender of a plurality of users using services provided on the Internet, and service usage history information of each user in the service, A storage unit for storing the user identification information in association with each other;
Based on the user information, identify two users estimated to be a couple among the plurality of users,
Based on the service usage history information of each of the two specified users, a plurality of correlation data indicating a correlation between a service used by one of the two users and a service used by the other user, Generated for two users in a set and stored in the storage unit;
Accepting an inquiry request including identification information of the first user and identification information of at least one second user;
The generated correlations of the service usage histories of the first user and the second user in the service, respectively extracted based on the identification information of the first user and the second user, respectively. Collating with related data, calculating the fitness of the first user and the second user,
An information processing apparatus comprising: a control unit configured to output data indicating the calculated fitness. The information processing apparatus according to claim 1,
The storage unit stores a new registration date of the address and a change registration date of the address,
Based on the user information stored in the storage unit, the control unit includes two users who have different registration dates of the current address within a predetermined number of days and have different addresses before the current address. An information processing device that estimates a person as a couple. The information processing apparatus according to claim 1,
The control unit has the same last name and address stored in the storage unit among the plurality of users, and one of the last names in the change history of the name stored in the storage unit is currently An information processing apparatus that estimates two users with different genders as a couple when the last name is changed to. The information processing apparatus according to claim 3,
The control unit estimates the marriage time of the two users based on the last name change time of one of the identified two users, and the two users before the estimated marriage time An information processing apparatus that generates the correlation data based on each service usage history. The information processing apparatus according to claim 4,
The control unit, based on the service usage history of each of two users, of which at least one of the specified two sets of users has a predetermined number of service usages before the marriage period. An information processing apparatus that generates the correlation data. The information processing apparatus according to claim 4,
The control unit generates the correlation data based on service usage histories of two users who have a predetermined period of time or more from the marriage time among the specified two sets of two users. Information processing device. The information processing apparatus according to claim 1,
The control unit generates recommendation information for recommending a product or service for couples to at least one of the two specified users. User information including at least an address, name, change history of the address and name, and gender of a plurality of users using services provided on the Internet, and service usage history information of each user in the service, Each of them is stored in association with the user identification information,
Based on the user information, identify two users estimated to be a couple among the plurality of users,
Based on the service usage history information of each of the two specified users, a plurality of correlation data indicating a correlation between a service used by one of the two users and a service used by the other user, Generated for a set of two users,
Accepting an inquiry request including identification information of the first user and identification information of at least one second user;
The generated correlations of the service usage histories of the first user and the second user in the service, respectively extracted based on the identification information of the first user and the second user, respectively. Collating with related data, calculating the fitness of the first user and the second user,
Outputting data indicating the calculated fitness ,
An information processing method executed by the information processing apparatus . In the information processing device,
User information including at least an address, name, change history of the address and name, and gender of a plurality of users using services provided on the Internet, and service usage history information of each user in the service, Storing each of the user identification information in association with each other;
Identifying two users who are estimated to be couples among the plurality of users based on the user information;
Based on the service usage history information of each of the two specified users, a plurality of correlation data indicating a correlation between a service used by one of the two users and a service used by the other user, Generating for a pair of two users;
Receiving an inquiry request including identification information of the first user and identification information of at least one second user;
The generated correlations of the service usage histories of the first user and the second user in the service, respectively extracted based on the identification information of the first user and the second user, respectively. Collating with related data to calculate the fitness of the first user and the second user;
And a step of outputting data indicating the calculated fitness.

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