JP7077185B2 - Information processing equipment, information processing methods, and information processing programs - Google Patents

Description

The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

In recent years, with the development of communication networks, various services are provided via networks by a plurality of service providers. Then, the user uses various services via the network by using a smart device such as a PC (Personal Computer), a smartphone, or a tablet terminal.

In the service provided by the service provider, user information including user attributes and action history is acquired, and advertisements and other information according to the user are provided based on the user information. However, users may use different smart devices or create different accounts each time they use the service.

In this case, the information of the same user is managed as a plurality of user information, and the attributes and action history of the same user are collected for each of the plurality of user information. Therefore, the service provider may not be able to properly acquire the user information. Therefore, a technique has been proposed in which a plurality of user information is linked as the same user information based on the information acquired from the user's smart device (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2014-38420

However, when user information is managed by an independent user information group for each service, the same user information group is managed independently of each other due to differences in the content and amount of user information among service providers. It may be difficult to link the user information of the user.

The present application has been made in view of the above, and provides an information processing device, an information processing method, and an information processing program capable of associating user information of the same user between user information groups managed independently of each other. The purpose is to provide.

The information processing apparatus according to the present application includes an information acquisition unit, a first association unit, and a second association unit. The information acquisition unit includes information on a first user information group including a plurality of first user information, and information on a second user information group including a plurality of second user information and managed separately from the first user information group. And the information of the third user information group which includes a plurality of third user information and is managed separately from the first user information group is acquired. The first linking unit associates the first user information with the second user information based on the information acquired by the information acquisition unit, and combines the first user information with the third user information. Link. The second linking portion associates the second user information with the third user information based on the linking result by the first linking portion.

According to one aspect of the embodiment, it is possible to provide an information processing device, an information processing method, and an information processing program capable of associating user information of the same user between different services.

FIG. 1 is an explanatory diagram of information processing according to an embodiment. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of a user information group table according to the embodiment. FIG. 5 is a diagram showing an example of a user information group table according to the embodiment. FIG. 6 is a diagram showing an example of the association information table according to the embodiment. FIG. 7 is a diagram showing another example of the association information table according to the embodiment. FIG. 8 is a diagram showing still another example of the association information table according to the embodiment. FIG. 9 is a flowchart showing an example of the flow of information processing in the information processing apparatus according to the embodiment. FIG. 10 is a diagram showing an example of a hardware configuration of a computer that executes a program.

Hereinafter, the information processing apparatus, the information processing method, and the embodiment for implementing the information processing program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application.

[1. Information processing]
Information processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram of information processing according to an embodiment, and in the present embodiment, information processing is executed by the information processing device 1.

In the example shown in FIG. 1, a plurality of businesses C1 to C3 (hereinafter, may be collectively referred to as business operators C) each provide a service as a service provider, and the user is information about each user who uses the service. It has user information groups D1 to D3 (hereinafter, may be collectively referred to as user information group D) including information.

The service provided by the business operator C is an online service that provides an online service to the user, for example, a shopping service, an auction service, an online banking service, a video distribution service, a music distribution service, a news distribution service, and a homepage provision. It is a service or a blog providing service. The service provided by the business operator C includes a service of providing a web page for selling or introducing the product provided by the business operator C. Further, the service provided by the business operator C may include an offline service.

The user information group D is a data set including a plurality of user information, and is stored in a storage unit such as a database managed by the business operator C. The information of the user who is the user of the service includes, for example, the demographic attribute of the user, the information of the user's smart device, the access history, and the like.

In the example shown in FIG. 1, the business operator C1 holds the information of the user information group D1 including the user information which is the information about the user to which the service is provided by the business operator C1. The business operator C2 holds the information of the user information group D2 including the user information which is the information about the user to which the service is provided by the business operator C2. The business operator C3 holds the information of the user information group D3 including the user information which is the information about the user to which the service is provided by the business operator C3.

The user information groups D1 to D3 are information managed by different business operators C1 to C3. The user information included in each user information group D is composed of information of a plurality of elements. For example, the user information includes a user ID for identifying a user in the business operator C, information indicating a user's attribute (hereinafter referred to as attribute information), and information indicating an action history (hereinafter referred to as action history information). ) And other information.

Such user information includes information obtained from user input in the online service provided by the business operator C (for example, name, age, gender, address, etc.) and a web page accessed by the user in the online service provided by the business operator C. It contains information indicating the user's preference obtained from the number of accesses and the like. Further, the user information includes information indicating the user's preference obtained from the service or product purchased by the online service provided by the business operator C. As described above, the user information includes information directly or indirectly obtained by the online service provided by the business operator C.

The user information groups D1 to D3 include user information obtained from services provided by different businesses, and the user information is different even for the same user. Therefore, if the user information of the same user can be linked between the user information group D, the amount of user information about the user who receives the service across the plurality of business operators C can be increased. The larger the amount of user information, the more accurately the information based on the user information (for example, the provision of advertisement information according to the user and the provision of the page according to the user) can be provided.

Therefore, the information processing apparatus 1 according to the embodiment executes information processing for associating user information between the user information group D. Such association is also called name identification. In the example shown in FIG. 1, the user ID included in the user information of the user information group D1 includes U101 to U103, and the user ID included in the user information of the user information group D2 includes U201 to U203 and the like. included. Further, the user ID included in the user information of the user information group D3 includes U301 to U303 and the like. Hereinafter, it is assumed that the users of the user IDs “U101”, “U202”, and “U303” are the same user.

First, the information processing apparatus 1 acquires the information of the user information group D2 from the apparatus of the operator C2 (for example, the server apparatus 2 ₁ described later) (step S1). The information processing apparatus 1 is included in the user information group D1 (hereinafter, may be referred to as the first user information) and the user information group D2 based on the user information group D1 and the user information group D2. It is associated with user information (hereinafter, may be referred to as second user information).

Specifically, the information processing apparatus 1 determines whether or not the first user information and the second user information satisfy a predetermined association condition (step S2). For example, the information processing apparatus 1 determines the degree of similarity between the first user information and the second user information, and determines whether or not the degree of similarity is equal to or higher than the threshold value Th1.

Then, the information processing apparatus 1 associates the first user information and the second user information that satisfy a predetermined association condition (step S3). For example, the information processing apparatus 1 associates the first user information having a similarity of the threshold value Th1 or more with the second user information. In the example shown in FIG. 1, the first user information including the user ID "U101" and the second user information including the user ID "U202" are associated with each other.

The association can be performed by generating information (hereinafter, may be referred to as association information) that associates the user ID of the first user information with the user ID of the second user information. The information processing apparatus 1 associates the first user information with the second user information for each combination of the first user information and the second user information satisfying a predetermined association condition.

Next, the information of the user information group D3 is acquired from the device of the business operator C3 (for example, the server device 2 ₂ described later) (step S4). Based on the user information group D1 and the user information group D3, the information processing apparatus 1 describes the first user information included in the user information group D1 and the user information included in the user information group D3 (hereinafter referred to as the third user information). In some cases) and.

Specifically, the information processing apparatus 1 determines whether or not the first user information and the third user information satisfy a predetermined association condition, as in the process of step S2 (step S5). Then, the information processing apparatus 1 associates the first user information and the third user information that satisfy a predetermined association condition with each other (step S6), as in the process of step S3. In the example shown in FIG. 1, the first user information including the user ID "U101" and the third user information including the user ID "U303" are associated with each other.

The association can be performed by generating the association information which is the information relating the user ID of the first user information and the user ID of the third user information. The information processing apparatus 1 associates the first user information with the third user information for all combinations of the first user information and the third user information satisfying the predetermined association conditions.

In this way, the information processing device 1 links information of a plurality of users who receive services across the business operator C1 and the business operator C2, and links of a plurality of users who receive the service across the business operator C1 and the business operator C3. Information can be generated. As a result, for example, the business operator C1 provides the user information group D1 and the association information to the business operators C2 and C3, so that the business operator C2 and C3 can provide the service to a plurality of users across the business operator C1. , The user information of the user information group D1 can be used to provide information and services to the user.

Here, when the amount of information of the second user information and the third user information is smaller than the amount of information of the first user information, the second user information and the third user are based on the second user information and the third user information. It may be difficult to associate with information.

Therefore, the information processing apparatus 1 associates the first user information and the third user information based on the association information generated in step S3 and the association information generated in step S6 (step S7). In the example shown in FIG. 1, the first user information including the user ID "U101" and the second user information including the user ID "U202" are associated with each other, and the first user information including the user ID "U101" and the user ID. It is associated with the third user information including "U303". Therefore, the information processing apparatus 1 associates the second user information including the user ID "U202" with the third user information including the user ID "U303".

The association can be performed by generating the association information which is the information associating the user ID of the second user information with the user ID of the third user information. The information processing apparatus 1 associates the second user information with the third user information for each combination of the second user information and the third user information associated with the common first user information.

The information processing device 1 provides the user information group D3 and the associated information to the business operator C2, so that the business operator C2 can provide the user to a plurality of users who receive the service across the business operator C2 and the business operator C3. Information and services can be provided to the user based on the user information of the information group D2 and the user information of the user information group D3.

In this way, the information processing apparatus 1 associates the second user information with the third user information without determining the similarity between the second user information and the third user information, and performs the business with the business operator C2. It is possible to generate linked information of a plurality of users who receive services across the person C3. As a result, even if it is difficult to associate the second user information with the third user information based on the second user information and the third user information, the second user information and the third user information can be combined. It can be linked accurately.

[2. Information processing system]
FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1, a plurality of server devices 2 ₁ to 2 _m-1 (m is an integer of 3 or more), and a plurality of terminal devices 3 ₁ . ~ 3 _n (n is an integer of 2 or more) is provided. The information processing apparatus 1 is managed by the business operator C1 as described above. Further, the server devices 2 ₁ to 2 _m-1 are managed by the operators C2 to Cm, respectively.

These information processing devices 1, a plurality of server devices 2 ₁ to 2 _m-1 (hereinafter, may be collectively referred to as a server device 2) and a plurality of terminal devices 3 ₁ to 3 _n (hereinafter, collectively referred to as a terminal device 3). Are connected to each other communicably by wire or wirelessly via the network 4. The network 4 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet. The terminal devices 3 ₁ to 3 _n are operated by users U ₁ to _Un (hereinafter, may be collectively referred to as user U).

The terminal device 3 is, for example, a smart device (communication terminal) such as a smartphone, a tablet terminal, a PDA (Personal Digital Assistant), or a personal computer, and can execute an application such as a browser. The terminal device 3 can access the information processing device 1 and the server device 2 via the network 4 from a browser or a dedicated application. The user U of the terminal device 3 can use various online services provided by the information processing device 1 and the server device 2.

The information processing device 1 and the server device 2 can acquire and store user information from the terminal device 3 of each user U that provides an online service, respectively. The server device 2 stores a user information group D including user information acquired from the terminal device 3 of each user U in a database (hereinafter referred to as DB).

The information processing device 1 and the server device 2 can provide information according to the user information to the terminal device 3 of the user U. For example, the information processing device 1 and the server device 2 provide information on a user-specific page to the terminal device 3 of the user U based on the held user information, or an advertisement to which the user U is highly interested. Information can be provided to the terminal device 3 of the user U. Thereby, appropriate information can be provided to the user U for each user U.

The information processing device 1 acquires and stores the user information group D held by each server device 2 from each server device 2 via the network 4. Then, the information processing apparatus 1 can associate the user information between the user information group D. Hereinafter, the configuration and operation of the information processing apparatus 1 will be specifically described.

[3. Information processing device 1]
FIG. 3 is a diagram showing a configuration example of the information processing apparatus 1 according to the embodiment. As shown in FIG. 3, the information processing device 1 includes a communication unit 10, a storage unit 11, and a control unit 12 (controller), and provides an online service to the user U of the terminal device 3. Hereinafter, the communication unit 10, the storage unit 11, and the control unit 12 will be specifically described in this order.

[3.1. Communication unit 10]
The communication unit 10 is a communication interface for transmitting / receiving information to / from the network 4, and connects to the network 4 by wire or wirelessly. The control unit 12 can transmit and receive various information to and from the plurality of server devices 2 and the terminal device 3 via the communication unit 10 and the network 4.

[3.2. Storage unit 11]
The storage unit 11 includes a service information DB 20, user information group tables 21 and 22, and an association information table 23. The service information DB 20, the user information group tables 21 and 22, and the association information table 23 are, for example, semiconductor memory elements such as flash memory, or storage devices such as HDD (Hard Disk Drive) and optical disk.

The service information DB 20 is a storage unit that stores information used for services provided by the information processing device 1 to the user U of the terminal device 3. For example, the service information DB 20 stores information such as products used for shopping services and auction services, and video contents used for video distribution services.

In the user information group table 21, user information which is information of the user U who uses the service provided by the information processing apparatus 1 is set. The user information stored in the user information group table 21 is the above-mentioned first user information. FIG. 4 is a diagram showing an example of a user information group stored in the user information group table 21.

As shown in FIG. 4, the user information group table 21 is information associated with information such as "user ID", "psychographic attribute", "demographic attribute", and "access history".

The "user ID" is the identification information of the user U, and in the example shown in FIG. 4, the user IDs of the users U ₁ , U ₂ , U ₃ , and U ₄ are "U101", "U102", "U103", and "U103". U104 "is set. Such a user ID is a user's account for a service that uses the information processing device 1. The user ID may be any information that identifies the user U, and the identification information of the terminal device 3 used by the user U may be used as the user ID. For example, the user ID may be identification information specified by an HTTP (Hypertext Transfer Protocol) cookie transmitted / received between the terminal device 3 and the information processing device 1.

The "psychographic attribute" is information indicating the user U's sense of values, lifestyle, personality, preference, and the like. Such "psychographic attributes" are classified into attribute elements such as "car" and "travel", for example. In the example shown in FIG. 4, "1" is stored for each attribute element when the preference of the user U is relatively high, and "0" is stored in other cases. In addition, the "psychographic attribute" is not limited to the example of the attribute element shown in FIG. 4, and includes various attribute elements such as economy, politics, baseball, soccer, other sports, sweets, personal computers, white goods, and furniture. You may. The information of the attribute element is not limited to the two stages of 0 and 1, and may be a value of three or more stages.

"Demographic attribute" indicates demographic user U attribute information. Such "demographic attributes" are classified into, for example, attribute elements such as "gender" and "age" of the user U. In the "gender", "1" is stored when the user U is a woman, and "2" is stored when the user U is a man. Further, the age of the user U is stored in the "age". The "demographic attribute" is not limited to the example of the attribute element shown in FIG. 4, and may include various attribute elements such as the occupation, family structure, annual income, address, birthplace, and educational background of the user U.

The "access history" includes access information and action history information acquired by the information processing device 1 from the terminal device 3 when the user of the terminal device 3 uses the service provided by the information processing device 1. Access information includes information such as "date and time" and "browser". The "date and time" indicates the date and time accessed from the terminal device 3. In other words, the "date and time" indicates the date and time when the service provided by the information processing device 1 is used by the terminal device 3. The "browser" is information on the browser used by the terminal device 3, and includes "BR01" which is the name of the browser such as "BR01 (8.1)" and "8.1" which is the version information. Represented by a combination.

Further, the access information includes "time difference information", "route information", "OS", "plug-in", "IP address" and the like. The "time difference information" indicates information regarding the time difference between the information transmitted from the terminal device 3 and the information received by the information processing device 1. The "route information" indicates information about the route until the information transmitted from the terminal device 3 reaches the information processing device 1. The "route information" includes information for identifying a router or a proxy server used for communication between the information processing device 1 and the terminal device 3.

The "OS" is information on the OS (Operating System) used by the terminal device 3, and includes the name and version name of the OS. The "plug-in" indicates information on a plug-in embedded in the browser (for example, identification information such as the name of the plug-in). The "IP address" indicates an IP (Internet Protocol) address of the terminal device 3.

Further, the action history information includes a history of actions taken by the user U of the terminal device 3 with respect to the information processing device 1. For example, the action history information includes the URL of the page accessed from the terminal device 3 and the history of products and services purchased by the user.

Information of a plurality of user information groups D acquired from the plurality of server devices 2 is set in the user information group table 22. The information of the plurality of user information groups D is set in, for example, the user information group table 22. FIG. 5 is a diagram showing an example of the user information group table 22 according to the embodiment. As shown in FIG. 5, the user information group table 22 is information in which a plurality of access elements such as "business ID", "user ID", "attribute", and "access history" are associated with each other.

The "business ID" is information for identifying the business C, and in the example shown in FIG. 5, the business ID "C102" is the business ID of the business C2 and the business ID "C103". Is the business ID of the business C3. The business ID of the business C1 is "C101".

The "attribute" is information indicating the attribute of the user U, and includes, for example, a psychographic attribute, a demographic attribute, and the like, as in the example shown in FIG. Further, the "access history" is the access information acquired by the server device 2 from the terminal device 3 when the user U of the terminal device 3 uses the service provided by the server device 2, as in the example shown in FIG. Includes behavior history information.

The "user ID", "attribute", and "access history" are information managed and generated by the server device 2, and the user information group D of each business operator C is different among the business operators C. For example, the "user ID" may be assigned different identification information among the business operators C, and the attribute elements included in the "attribute" may be the same in the business operator C.

The user information group table 22 may be provided for each business operator C. Further, the user information group D included in the user information group table 22 may be deleted from the user information group table 22 by the control unit 12 after being used for the linking process described later by the control unit 12.

The linking information table 23 includes the linking information indicating the linking result of the user information between the business operators C by the control unit 12. FIG. 6 is a diagram showing an example of the association information table 23 according to the embodiment. As shown in FIG. 6, the association information table 23 includes a "first business operator ID", a "second business operator ID", a "first business operator user ID", a "second business operator user ID", and the like. Information is the associated information.

The "first business operator ID" and the "second business operator ID" are the business operator IDs of the two business operators C to which the user information is associated. The "user ID of the first business operator" is a user ID included in the user information of one business operator C of the two business operators C to which the user information is associated, and the "user ID of the second business operator" is , Is a user ID included in the user information of the other business operator C of the two business operators C to which the user information is associated.

The linking information table 23 shown in FIG. 6 includes the result of linking user information between the business operator C1 having the business operator ID “C101” and the business operator C2 having the business operator ID “C102”. The associating result is performed by associating the user ID. That is, the user ID included in the user information of the business operator C1 and the user ID included in the user information of the business operator C2 are associated and associated with each other.

For example, in the example shown in FIG. 6, the user ID "U101" and the user ID "U202" are associated with each other, the user ID "U102" and the user ID "U232" are associated with each other, and the user ID "U103" and the user are associated with each other. The ID "U228" is associated with it. Therefore, in the example shown in FIG. 6, the user information of the user ID "U101" is associated with the user information of the user ID "U202", and the user information of the user ID "U102" is the user information of the user ID "U232". It is tied to. Further, the user information of the user ID "U103" is associated with the user information of the user ID "U228".

[3.3. Control unit 12]
The control unit 12 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), an input / output port, and various circuits. The control unit 12 includes a service providing unit 30, an information acquisition unit 31, a first linking unit 32, a second linking unit 33, and an information output unit 34. The functions of the service providing unit 30, the information acquisition unit 31, the first linking unit 32, the second linking unit 33, and the information output unit 34 are stored in, for example, the CPU of the control unit 12 in the ROM of the control unit 12. It is realized by reading and executing the program.

A part or all of the service providing unit 30, the information acquisition unit 31, the first linking unit 32, the second linking unit 33, and the information output unit 34 are ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate), respectively. It may be configured by hardware such as Array).

[3.3.1. Service provision department 30]
The service providing unit 30 provides a service to the user U of the terminal device 3. The service providing unit 30 can provide a service to the user U of the terminal device 3 by acquiring information from the service information DB 20 in response to a request from the terminal device 3 and transmitting the information to the terminal device 3.

For example, the service providing unit 30 acquires information on products used for services from the service information DB 20 and transmits the information to the terminal device 3, or acquires video content, music content, etc. from the service information DB 20 and transmits the information to the terminal device 3. Can be done.

Further, the service providing unit 30 stores the above-mentioned user information acquired from the terminal device 3 when providing the service to the terminal device 3 in the user information group table 21. For example, the service providing unit 30 can store the access history in the user information group table 21 based on the information transmitted from the terminal device 3.

Further, the service providing unit 30 may determine the psychographic attribute based on the result of the questionnaire input for the user U to use the service provided by the information processing apparatus 1, and set it in the user information group table 21. can. Further, the service providing unit 30 can determine the psychographic attribute based on the above-mentioned action history information and set it in the user information group table 21. Further, the service providing unit 30 acquires user information (for example, name, age, address) input for the user U to use the service provided by the information processing device 1 from the terminal device 3, and obtains a user information group table. It can be set to 21.

[3.3.2. Information acquisition unit 31]
The information acquisition unit 31 acquires information indicating a linking request from the server device 2. The information indicating the association request includes the user information group D, and the information acquisition unit 31 sets the user information group D included in the information indicating the association request in the user information group table 22.

The linking request from the server device 2 includes a request for linking with the user information of the business operator C1 and a request for linking the user information between the business operators C other than the business operator C1. For example, the server device 2 ₁ makes a linking request for linking the user information of the business operator C1 with the user information of the business operator C2, or links the user information of the business operator C2 with the user information of the business operator C3. It is possible to make a linking request to request attachment.

When the information acquisition unit 31 acquires a linking request requesting linking between the user information of the business operator C2 and the user information of the business operator C3 from the server device 2 ₁ , the user information group of the business operator C3 is acquired from the server device 2 ₂ . Information on D3 can be acquired. The information acquisition unit 31 can continuously acquire the updated user information from the server device 2 and update the user information group table 22.

The information acquisition unit 31 can acquire the information stored in the storage unit 11 from the storage unit 11 and pass it to the first association unit 32 and the second association unit 33. For example, the information acquisition unit 31 can acquire the user information stored in the storage unit 11 and pass it to the first association unit 32 and the second association unit 33. Further, for example, the information acquisition unit 31 can acquire the association information stored in the storage unit 11 and pass it to the second association unit 33.

[3.33.3. 1st tying part 32]
The first linking unit 32 links the user information of the business operator C1 with the user information of the business operator C other than the business operator C1 based on the user information group table 21 and the user information group table 22.

Specifically, the first linking unit 32 has a plurality of user information managed by the business operator C1 based on the user information group table 21 and the user information group D2 of the business operator C2 included in the user information group table 22. Is linked with a plurality of user information managed by the business operator C2. Further, the first linking unit 32 is a plurality of user information and a business operator managed by the business operator C1 based on the user information group table 21 and the user information group D3 of the business operator C3 included in the user information group table 22. It is associated with a plurality of user information managed by C3.

The first linking unit 32 also manages a plurality of user information managed by the business operator C other than the business operators C1 to C3 by the business operator C1 based on the user information group table 21 and the user information group table 22. It can be linked with multiple user information.

Here, the first linking unit 32 describes a process of associating a plurality of user information managed by the business operator C1 with a plurality of user information managed by the business operator C2. The first linking unit 32 determines the degree of similarity Rd between each user information in the user information group table 21 and each user information in the user information group D2 of the business operator C2 included in the user information group table 22.

Here, the element constituting each user information of the first user information group D1 is referred to as a first element, and the element constituting each user information of the second user information group D2 is referred to as a second element. Further, it is assumed that the plurality of first elements constituting the user information of the first user information group D1 and the plurality of second elements constituting the user information of the second user information group D2 have a one-to-one correspondence. It is assumed that the number of the first element and the number of the second element are both p. That is, it is assumed that there are p pairs of the first element and the second element (hereinafter referred to as element pairs). The first linking portion 32 compares the first element and the second element included in each element pair.

Correspondence between the first element and the second element means that the first element and the second element can be compared, and for example, it means that the first element and the second element are the same or similar. The first linking portion 32 can treat a plurality of second elements as one second element in order to associate the first element with the second element, and treats the plurality of first elements as one first element. Can be handled.

The number of the first element and the number of the second element are not limited to p, and the number of the first element and the number of the second element may be different from each other. When the number of the first element and the number of the second element are different from each other, the first linking portion 32 uses only the pair of the first element and the second element corresponding to each other, and does not use the remaining elements. be able to.

The first linking portion 32 can associate a plurality of first elements with the second element as one first element, and can associate the plurality of second elements with the first element as one second element. .. For example, the first linking unit 32 can treat the two second elements "overseas travel" and "domestic travel" as one second element "travel".

The first linking unit 32 can compare the first element and the second element included in each element pair to determine the degree of similarity Rd between the user information. For example, the first linking unit 32 can determine the degree of similarity Rd between user information by the calculation of the following equation (1). In the following equation (1), x1 _i is the information of the first element of the i-th element pair (for example, 1 ≦ i ≦ p), and x2 _i is the information of the second element of the i-th element pair. be. In the following formula (1), (x1 _i -x2 _i ) ² can also be called a dissimilarity score.

For example, the user information managed by the business operator C1 and the user information managed by the business operator C2 have the same attribute element "travel", both of which are set to "1", and the attribute element "travel" is compared 1 Suppose it is the second attribute element. In this case, x1 ₁ = x2 ₁ = 1 and (x1 ₁ − x2 ₁ ) ² = 0. Further, it is assumed that the attribute element "travel" of the user information managed by the business operator C1 is "1" and the attribute element "travel" of the user information managed by the business operator C2 is "0". In this case, x1 ₁ = 1 and x2 ₁ = 0, and (x1 ₁ − x2 ₁ ) ² = 1.

Further, the user information managed by the business operator C1 has the attribute element "travel", the user information managed by the business operator C2 has the attribute elements "domestic travel" and "overseas travel", and the attribute element "travel" is "1". , And at least one of the attribute elements "domestic travel" and "overseas travel" is "1". In this case, the first tying portion 32 can be x1 ₁ = x2 ₁ = 1.

When the information of the attribute element is not a value of two stages (1 and 0) but a value of three stages or more, the same operation can be performed to obtain the dissimilarity score. Further, the information of the attribute elements such as the address, the age, and the name is compared based on the preset criteria, and the value corresponding to (x1 _i − x2 _i ) ² is calculated by the first linking unit 32. For example, when the attribute element is an address, the first linking unit 32 calculates so that the closer the address is, the closer the dissimilarity score is to 0.

The method for determining the similarity Rd is not limited to the above-mentioned example. For example, the first linking portion 32 can also calculate the similarity Rd by dividing the right side of the above equation (1) by the number of elements to be compared (hereinafter, may be referred to as a comparison element). .. Further, the first association unit 32 can calculate the square root of the value obtained by weighting the dissimilarity score for each element and set the reciprocal of the square root as the similarity degree Rd.

Further, the first linking unit 32 can also calculate the total value of the similarity scores for each comparison element, and calculate the similarity degree Rd based on the total value. The first linking portion 32 increases the similarity score for each comparison element so that the first element and the second element of the element pair are similar to each other. The first linking unit 32 calculates the similarity Rd between user information by, for example, calculating the total value of the similarity scores for each comparison element and dividing the square root of the total value by the number of comparison elements. be able to.

Further, the first linking unit 32 calculates the total value by weighting and integrating the similarity scores of the comparison elements, and the square root of the total value is used as the square root of the comparison element, and the coefficient corresponding to the number of comparison elements is used as the comparison element. It is also possible to calculate the similarity between user information by dividing by the value multiplied by the number.

The first linking unit 32 determines whether or not the similarity Rd between the user information is the threshold value Th1 or more, and links the user information having the similarity degree Rd of the threshold value Th1 or more. Such association is performed by generating the association information including the user ID included in the associated user information. The first linking unit 32 sets the generated linking information in the linking information table 23. The association information includes the user ID of each associated user information.

For example, the first linking unit 32 determines the similarity Rd of each user information of the business operator C1 with the user information of the business operator C2, and the determined similarity degree Rd is the user information of the business operator C1 having the threshold value Th1 or more. It is possible to generate the association information associated with the user information of the business operator C2. Further, the first linking unit 32 determines the similarity Rd of each user information of the business operator C1 with the user information of the business operator C3, and the determined similarity degree Rd is the user information of the business operator C1 having the threshold value Th1 or more. It is possible to generate the association information associated with the user information of the business operator C3.

[3.3.4.4. 2nd tying part 33]
The second linking unit 33 links user information between two or more business operators C other than the business operator C1 based on the linking result by the first linking unit 32. The linking result by the first linking unit 32 is set in the linking information table 23, and the second linking unit 33 is a user between two or more business operators C other than the business operator C1 based on the linking information table 23. Link information.

For example, it is assumed that the linking request from the server device 2 is a linking request for linking the user information of the business operator C2 and the user information of the business operator C3. In this case, the second linking unit 33 associates the user information of the business operator C2 with the user information of the business operator C3 based on the linking information generated by the first linking unit 32 and set in the linking information table 23. conduct.

When the association information table 23 is in the state shown in FIG. 6, the second association unit 33 has the user information of the user ID "U202" and the user ID "U303" associated with the user information of the same user ID "U101". Associate with user information.

Similarly, the second linking unit 33 associates the user information of the user ID "U232" associated with the user information of the same user ID "U102" with the user information of the user ID "U301". Further, the second linking unit 33 links the user information of the user ID "U228" linked to the user information of the same user ID "U103" with the user information of the user ID "U387".

In this way, the second linking unit 33 transfers the user information of the business operator C2 and the user information of the business operator C3 without determining the similarity Rd between the user information of the business operator C2 and the user information of the business operator C3. Can be linked. Therefore, even if it is difficult to associate the second user information with the third user information based on the second user information and the third user information, the accuracy of the second user information and the third user information is correct. Can be tied well.

The second linking unit 33 generates linking information for linking user information between two or more business operators C other than the business operator C1, and sets the generated linking information in the linking information table 23. For example, as shown in FIG. 7, the second linking unit 33 can set the linking information for linking the user information of the business operator C2 and the user information of the business operator C3 in the linking information table 23. FIG. 7 is a diagram showing another example of the association information table 23 according to the embodiment.

Further, the second linking unit 33 can link the user information between the business operators C in consideration of the similarity Rd determined by the first linking unit 32. For example, the second linking unit 33 links the user information to each other when the similarity Rd set for the user information to be linked to each other satisfies a predetermined condition.

The first association unit 32 described above can include the determined similarity Rd in the association information and set it in the association information table 23. FIG. 8 is a diagram showing still another example of the association information table 23 according to the embodiment. The linked information table 23 shown in FIG. 8 has a “first business operator ID”, a “second business operator ID”, a “first business operator user ID”, a “second business operator user ID”, and a “similarity degree”. Information such as "is associated information.

The "similarity" is the similarity Rd between the user information including the "user ID of the first business operator" and the user information including the "user ID of the second business operator". The similarity Rd is in the range of 0 to 1, but may be 3 levels or 4 levels or more, such as Low, Middle, High, and the like.

In the example shown in FIG. 8, the similarity Rd between the user information of the user ID “U101” and the user information of the user ID “U202” is “0.78”, and the user information and the user ID of the user ID “U102”. The degree of similarity Rd with the user information of "U232" is "0.72". The similarity Rd between the user information of the user ID "U103" and the user information of the user ID "U228" is "0.71".

Further, the similarity Rd between the user information of the user ID "U101" and the user information of the user ID "U303" is "0.92", and the user information of the user ID "U102" and the user of the user ID "U301" are used. The similarity Rd with the information is 0.93 ”. The similarity Rd between the user information of the user ID "U103" and the user information of the user ID "U387" is "0.87".

The second linking unit 33 can link user information whose similarity Rd satisfies a predetermined condition based on the linking information table 23. For example, the second linking unit 33 can link user information between business operators C on condition that the similarity Rd is equal to or higher than the threshold value Th1 used by the first linking unit 32.

Here, it is assumed that the association information table 23 is in the state shown in FIG. 8 and the threshold value Th2 is “0.75”. In this case, the similarity Rd between the user information of the user ID "U101" and the user information of the user ID "U202", and the similarity Rd between the user information of the user ID "U101" and the user information of the user ID "U303". Are each greater than the threshold Th2. Therefore, the second linking unit 33 links the user information of the user ID "U202" with the user information of the user ID "U303".

On the other hand, the similarity Rd between the user information of the user ID "U102" and the user information of the user ID "U232" and the similarity Rd of the user information of the user ID "U103" and the user information of the user ID "U228" are , Less than the threshold Th2. Therefore, the second linking unit 33 does not link the user information of the user ID "U232" and the user information of the user ID "U301", and the user information of the user ID "U228" and the user information of the user ID "U387" Do not associate.

As described above, when the similarity Rd is equal to or higher than the threshold value Th1 but less than the threshold value Th2, the user information is not associated with each other. Thereby, by adjusting the threshold value Th2, for example, it is possible to prevent the user information from being associated with each other so as to be lower than the threshold value Th1.

Further, the second linking unit 33 can link the user information between the business operators C on condition that the average value of the similarity Rd is equal to or higher than the threshold value Th3 used by the first linking unit 32. For example, it is assumed that the association information table 23 is in the state shown in FIG. 8 and the threshold value Th3 is “0.80”.

In this case, the average value in the combination of the user information of the user ID "U202" and the user ID "U303" is 0.85 (= {0.78 + 0.92} / 2). The average value in the combination of the user information of the user ID "U232" and the user ID "U301" is 0.825 (= {0.72 + 0.93} / 2). The average value in the combination of the user information of the user ID "U228" and the user ID "U387" is 0.79 (= {0.71 + 0.87} / 2).

Therefore, the second linking unit 33 associates the user information of the user ID "U202" with the user information of the user ID "U303", and combines the user information of the user ID "U232" and the user information of the user ID "U301". Link. Then, the second linking unit 33 does not link the user information of the user ID "U228" with the user information of the user ID "U387".

As described above, even if the similarity Rd is the threshold value Th1 or more, if the average value of the similarity degree Rd is less than the threshold value Th3, the user information is not associated with each other. Thereby, by adjusting the threshold value Th3, for example, it is possible to suppress the association between the user information that is lower than the threshold value Th1.

Further, the second linking unit 33 can link the user information between the business operators C on condition that the multiplication value of the similarity Rd is equal to or higher than the threshold value Th4 used by the first linking unit 32. For example, it is assumed that the association information table 23 is in the state shown in FIG. 7 and the threshold value Th4 is “0.65”.

In this case, the average value in the combination of the user information of the user ID "U202" and the user ID "U303" is 0.72 (= 0.78 × 0.92). The average value in the combination of the user information of the user ID "U232" and the user ID "U301" is 0.67 (= 0.72 × 0.93). The average value in the combination of the user information of the user ID "U228" and the user ID "U387" is 0.62 (= 0.71 × 0.87).

Therefore, the second linking unit 33 associates the user information of the user ID "U202" with the user information of the user ID "U303", and combines the user information of the user ID "U232" and the user information of the user ID "U301". Link. Then, the second linking unit 33 does not link the user information of the user ID "U228" with the user information of the user ID "U387".

As described above, even if the similarity Rd is the threshold value Th1 or more, if the multiplication value of the similarity degree Rd is less than the threshold value Th4, the user information is not associated with each other. As a result, by setting the threshold value Th4 so that the user information is not associated with each other so that the similarity Rd is lower than the threshold value Th1, the user information is associated with each other so as to be lower than the threshold value Th1. Can be suppressed from being performed.

Further, the second linking unit 33 can generate new linking information and set it in the linking information table 23 by using only the linking information generated based on the linking information table 23. For example, as the linking information generated by the second linking unit 33, the linking information indicated by the combination of the user ID "U202" and the user ID "U303", and the combination of the user ID "U202" and the user ID "U431" are used. It is assumed that the indicated association information is set in the association information table 23. In this case, the second linking unit 33 can generate linking information for linking the user information of the user ID "U303" and the user information of the user ID "U431".

When the second association unit 33 generates the association information, the second association unit 33 can determine the degree of similarity Rd between the user information to be associated based on the similarity degree Rd determined by the first association unit 32. For example, the second association unit 33 can determine the degree of similarity Rd between the associated user information based on the average value or the multiplication value of the similarity degree Rd determined by the first association unit 32.

Here, it is assumed that the association information table 23 is in the state shown in FIG. 8, and the similarity Rd determined by the second association unit 33 is calculated by adding a weighting value k1 to the average value of the similarity Rd between user information. .. note that. The weighted value k1 is, for example, "0.9".

Since the average value in the combination of the user information of the user ID "U202" and the user ID "U303" is 0.85 as described above, the combination of the user information of the user ID "U202" and the user ID "U303" The similarity Rd in is 0.77 (= 0.85 × 0.9).

Similarly, since the average value in the combination of the user information of the user ID "U232" and the user ID "U301" is 0.825, the average value in the combination of the user information of the user ID "U232" and the user ID "U301" is 0.825. The similarity Rd is 0.74 (= 0.825 × 0.9). Further, since the average value in the combination of the user information of the user ID "U228" and the user ID "U387" is 0.79, the similarity in the combination of the user information of the user ID "U228" and the user ID "U387" is obtained. The degree Rd is 0.71 (= 0.79 × 0.9).

In this way, the second association unit 33 can include the similarity Rd obtained by multiplying the average value of the similarity Rd by the weighting value k1 in the association information. Since the weighting value k1 is a value less than 1, the similarity Rd can be lowered when the association between user information is repeated based only on the association information table 23, and the user with a low similarity Rd. It is possible to suppress the association of information with each other.

For example, the second linking unit 33 is set so that the user information whose weighting value k1 is lower than the threshold value Th1 is not linked to each other so that the weighting value k1 is lower than the threshold value Th1. It is possible to prevent the association from being performed.

Further, the second linking unit 33 can determine the similarity Rd based on a plurality of elements included in the user information, similarly to the first linking unit 32. For example, the second linking unit 33 temporarily links the user information of the business operator C2 and the user information of the business operator C3 based on the linking information generated by the first linking unit 32 and set in the linking information table 23. conduct.

Then, the second linking unit 33 performs the similarity Rd between the temporarily linked user information based on a plurality of elements included in the temporarily linked user information. When the similarity Rd between the temporarily linked user information is the threshold value Th1 or more, the second linking unit 33 links the user information having the similarity degree Rd of the threshold value Th1 or more. On the other hand, when the similarity Rd between the provisionally linked user information is less than the threshold value Th1, the second linking unit 33 does not link the user information having the similarity degree Rd less than the threshold value Th1.

The second tying unit 33 has a smaller number of elements (for example, 10% or 20% of the comparison elements) than the elements compared by the first tying unit 32, and the similarity Rd between the user information. Can be determined. As a result, compared to the determination process of the similarity Rd in the first association unit 32, the load applied to the determination process of the similarity Rd in the second association unit 33 is reduced, and the user information having a high similarity Rd is accurately transmitted to each other. Can be tied.

Further, the second linking unit 33 determines the similarity Rd between the user information with a smaller number of elements as the total value, the average value, or the multiplication value of the similarity Rd associated with the temporarily linked user information is larger. can do. For example, the second association unit 33 multiplies the reciprocal of the average value of the similarity Rd associated with the provisionally associated user information by the coefficient k2, and uses the value obtained by multiplying the value by the coefficient k2 as the dissimilarity score or the similarity score. Can be the number of elements for determining (hereinafter referred to as score determination elements).

For example, it is assumed that the association information table 23 is in the state shown in FIG. In this case, the average value of the second association unit 33 in the combination of the user information of the user ID "U202" and the user ID "U303" is 0.85. In this case, the number of score determination elements can be INT (k2 / 0.85).

Since the importance may differ depending on the score determination element, the second association unit 33 can reduce the number of score determination elements as the importance increases. In this case, the second linking unit 33 calculates the number of comparison elements obtained by multiplying the reciprocal of the average value of the similarity Rd associated with the temporarily linked user information by a coefficient, and determines the importance of the elements. Make sure that the total value of the higher element scores is substantially the same as the number of comparison elements.

[3.3.5. Information output unit 34]
The information output unit 34 can acquire the association information corresponding to the association request from the server device 2 and the information of the user information group D from the storage unit 11 and transmit the information to the request source server device 2.

For example, assume that the linking request from the server device 21 is _a linking request for linking the user information of the business operator C2 and the user information of the business operator C3. In this case, the information output unit 34 can transmit the associating information that links the user information of the business operator C2 and the user information of the business operator C3 and the information of the user information group D3 to the server device ₂₁ .

Further, the information output unit 34 generates integrated user information, which is user information that integrates the associated user information of the business operator C2 and the user information of the business operator C3, and transmits the integrated user information to the server device ₂₁ . be able to. The integrated user information may include, for example, only an element as to whether or not an attribute is required, or may include both an attribute element and an access element.

Further, the information output unit 34 can transmit the user ID and the user information when the information acquisition unit 31 receives the user information transmission request including the user ID from the server device 2 that made the association request. The information output unit 34 can acquire the user information corresponding to the user information transmission request from the storage unit 11 and transmit the acquired user information to the server device 2.

For example, it is assumed that the information transmission unit 31 receives an information transmission request requesting the transmission of the user information of the business operator C3 having the user information corresponding to the user ID " _U202 " from the server device 21. In this case, the information output unit 34 determines that the user ID of the user information of the business operator C3 having the user information corresponding to the user ID "U202" is "U303" based on the association information table 23.

Then, the information output unit 34 acquires the user information of the user ID "U303" from the user information group table 22, and transmits the acquired user information of the user ID " _U303 " to the server device 21. The information output unit 34 can also transmit the integrated user information in which the user information of the user ID "U202" and the user information of the user ID " _U303 " are integrated to the server device 21.

Further, the information output unit 34 can also transmit the user information including the user ID included in the association information to the server device 2 each time the association information is added. Further, the information output unit 34 can also transmit the updated user information to the server device 2 every time the user information including the user ID included in the association information is updated.

[4. Information processing device 1 processing flow]
An example of the information processing procedure in the information processing apparatus 1 will be described with reference to FIG. 9. FIG. 9 is a flowchart showing an example of the flow of information processing in the information processing apparatus 1. Such information processing is a process that is repeatedly executed.

As shown in FIG. 9, the control unit 12 determines whether or not there is a service request from the terminal device 3 (step S10). When the control unit 12 determines that there is a service request (step S10: Yes), the control unit 12 provides and processes information according to the service request to provide the service (step S11).

When the process of step S11 is completed or when it is determined that there is no service request (step S10: No), the control unit 12 determines whether or not the user information has been acquired from the terminal device 3 (step S12). When it is determined that the user information has been acquired (step S12: Yes), the control unit 12 updates the user information group table 21 stored in the storage unit 11 (step S13).

When the process of step S13 is completed, or when it is determined that the user information has not been acquired (step S12: No), the control unit 12 determines whether or not there is a linking request from the server device 2 (step S14). ). When it is determined that there is a linking request (step S14: Yes), the control unit 12 determines whether or not there is linking information corresponding to the linking request (step S15). For example, in the case of a linking request for linking the user information of the business operator C2 and the user information of the business operator C3, the linking information corresponding to the linking request is, for example, the user information of the business operator C1 and the user information of the business operator C2. It is the linking information that links the linking information, the user information of the business operator C1, and the user information of the business operator C3.

When the second linking unit 33 of the control unit 12 determines that there is linking information (step S15: Yes), the second linking unit 33 links the user information between the business operators C based on the linking information (step S16). When the first linking unit 32 of the control unit 12 determines that there is no linking information (step S15: No), the first linking unit 32 links the user information between the business operators C based on the user information of the two business operators C (step S15: No). S17).

When the control unit 12 finishes the process of step S16, finishes the process of step S17, or determines that there is no linking request (step S14: No), whether or not there is an information transmission request from the server device 2. (Step S18). When the control unit 12 determines that there is an information transmission request (step S18: Yes), the control unit 12 transmits the information corresponding to the information transmission request to the server device 2 (step S19). When the process of step S19 is completed, or when it is determined that there is no information transmission request (step S18: No), the control unit 12 ends the process shown in FIG.

[5. Modification example]
In the above-described embodiment, the control unit 12 of the information processing device 1 performs the linking process when there is a linking request from the server device 2, but there is no linking request from the server device 2 between the business operators C. It is also possible to perform the process of associating user information.

Further, in the first tying portion 32 and the second tying portion 33, the number of attribute elements to be compared can be increased as the processing load of the information processing apparatus 1 is smaller. Further, the first linking unit 32 and the second linking unit 33 can execute the above-mentioned linking process when the processing load of the information processing apparatus 1 is equal to or less than a predetermined value. As a result, it is possible to prevent the processing load of the information processing apparatus 1 from becoming too high.

Further, in the above-described embodiment, although one user information group D1 is used for a plurality of services provided by the information processing apparatus 1, a plurality of services can be managed separately. In this case, for example, the user information group D is managed for each service. The control unit 12 of the information processing apparatus 1 can also perform the above-mentioned association processing between the user information group D for each service in the information processing apparatus 1.

Further, in the above-described embodiment, the amount of information of the first user information is large, and an example of associating the first user information with other user information by the first linking unit 32 has been described, but the present invention is not limited to this example. For example, it is assumed that the first user information does not include any attribute elements, but the second user information and the third user information include abundant attribute elements. In this case, the first linking unit 32 can link the second user information and the third user information based on the second user information and the third user information.

Then, when the first linking unit 32 can link the first user information and the second user information based on the first user information and the second user information, the second linking unit 33 is the second user. The first user information and the third user information can be associated with each other based on the result of associating the information with the third user information and the result of associating the first user information with the second user information. In this way, the second linking unit 33 can also link the first user information with other user information.

Further, when the information acquisition unit 31 acquires the association information from the terminal device 3 or the server device 2, the first association unit 32 performs the association processing of the user information based on the acquired association information. Can be done. For example, the information acquisition unit 31 acquires user association information indicating the association between the first user information and the second user information from the terminal device 3 or the server device 2 via the communication unit 10, and obtains the acquired user association information. It can be handed over to the first tying portion 32. The user association information includes, for example, two or more user IDs associated with each other as in the association information.

When the user association information indicating the association between the first user information and the second user information is acquired by the information acquisition unit 31, the first user information unit 32 is based on the acquired user association information. Can be associated with the second user information. Then, the second linking section 33 is based on the linking result of the second user information and the third user information by the first linking section 32 and the linking result of the first user information and the second user information. 1 User information and a third user information can be associated with each other. In this way, the second linking unit 33 can also link the first user information with other user information.

In the above-mentioned example, for convenience of explanation, the user information of the business operators C1 to C3 is described as the first user information, the second user information, and the third user information, but the present invention is not limited to this example. For example, the control unit 12 may refer to the above-mentioned first user information as second user information or third user information, or may refer to second user information or third user information as first user information.

[6. Hardware configuration]
The information processing apparatus 1 in the above-described embodiment is realized by executing a program by a computer 200 having a configuration as shown in FIG. 10, for example.

FIG. 10 is a diagram showing an example of a hardware configuration of a computer that executes a program. The computer 200 includes a CPU 201, a RAM 202, a ROM 203, an HDD (Hard Disk Drive) 204, a communication interface (I / F) 205, an input / output interface (I / F) 206, and a media interface (I / F) 207.

The CPU 201 operates based on the program stored in the ROM 203 or the HDD 204, and controls each part. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started, a program depending on the hardware of the computer 200, and the like.

The HDD 204 stores data and the like used by the program executed by the CPU 201. The communication interface 205 corresponds to the communication unit 10, receives data from another device via the network 4 and sends the data to the CPU 201, and transmits the data generated by the CPU 201 to the other device via the network 4.

The CPU 201 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 206. The CPU 201 acquires data from the input device via the input / output interface 206. Further, the CPU 201 outputs the generated data to the output device via the input / output interface 206.

The media interface 207 reads the program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207, and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

The CPU 201 of the computer 200 realizes each function of the control unit 12 described above by executing the program loaded on the RAM 202. Further, the control unit 12 may be partially or wholly composed of only hardware.

The CPU 201 of the computer 200 reads and executes the programs from the recording medium 208, but as another example, these programs may be acquired from another device via the network 4.

The HDD 204 corresponds to the storage unit 11 and stores the same data as the storage unit 11. Further, instead of the HDD 204, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as an optical disk may be used.

[7. effect〕
The information processing apparatus 1 according to the embodiment includes an information acquisition unit 31, a first association unit 32, and a second association unit 33. The information acquisition unit 31 includes information on the user information group D1 (an example of the first user information group) including a plurality of user information (an example of the first user information) of the business operator C1 and a plurality of user information of the business operator C2. Information of the user information group D2 (an example of the second user information group) including (second user information) and managed separately from the user information group D1 and a plurality of user information (third user information) of the business operator C3. The information of the user information group D3 (an example of the third user information group) managed separately from the included user information group D1 is acquired. The first linking unit 32 links a plurality of user information of the business operator C1 and a plurality of user information of the business operator C2 based on the information acquired by the information acquisition unit 31, and a plurality of user information of the business operator C1. The user information is associated with a plurality of user information of the business operator C3. The second linking unit 33 associates the user information of the business operator C2 with the user information of the business operator C3 based on the linking result by the first linking unit 32. As a result, even if it is difficult to associate the second user information with the third user information based on the information acquired by the information acquisition unit 31, the second user information and the third user information are accurately aligned. Can be tied well.

Further, the first linking unit 32 links a plurality of user information of the business operator C1 and a plurality of user information of the business operator C3 based on the information of the user information group D1 and the information of the user information group D3. The second linking unit 33 associates the user information of the business operator C2 with the user information of the business operator C3 based on the linking result by the first linking unit 32. Even if it is difficult to link the second user information and the third user information based on the second user information and the third user information, the second user information and the third user information are linked accurately. Can be attached.

Further, the first linking unit 32 links the user information of the business operator C1 and the user information of the business operator C2 based on the similarity Rd between the user information of the business operator C1 and the user information of the business operator C2. Further, the first linking unit 32 links the user information of the business operator C1 and the user information of the business operator C3 based on the similarity Rd between the user information of the business operator C1 and the user information of the business operator C3. As a result, each user information of the business operator C1 can be associated with the user information of the business operator C2, and the user information of the business operator C1 can be associated with the user information of the business operator C3 with high accuracy.

Further, in the second linking unit 33, the similarity Rd between the user information of the business operator C1 and the user information of the business operator C2 and the similarity degree Rd between the user information of the business operator C1 and the user information of the business operator C3 are predetermined. When the condition is satisfied, the user information of the business operator C2 and the user information of the business operator C3 are associated with each other based on the association result by the first association unit 32. As a result, it is possible to prevent the user information from being associated with each other so that the similarity Rd is low.

Further, in the second linking unit 33, the threshold value is the similarity Rd between the user information of the business operator C1 and the user information of the business operator C2, and the similarity degree Rd between the user information of the business operator C1 and the user information of the business operator C3. When it is Th2 or more, it is determined that the above-mentioned predetermined condition is satisfied. As a result, it is possible to prevent the user information from being associated with each other so that the similarity Rd is low.

Further, the second linking unit 33 is based on the similarity Rd between the user information of the business operator C1 and the user information of the business operator C2, and the similarity degree Rd between the user information of the business operator C1 and the user information of the business operator C3. When the value obtained (for example, the average value or the multiplication value) is equal to or higher than the threshold values Th3 and Th4, it is determined that the above-mentioned predetermined condition is satisfied. As a result, it is possible to prevent the user information from being associated with each other so that the similarity Rd is low.

Further, the second linking unit 33 temporarily links the user information of the business operator C2 and the user information of the business operator C3 based on the linking result by the first linking unit 32, and the second linking unit 33 temporarily links the user information of the business operator C2. Based on the similarity Rd between the user information and the user information of the business operator C3, the temporarily linked user information of the business operator C2 and the user information of the business operator C3 are associated with each other. As a result, it is possible to prevent the user information from being associated with each other so that the degree of similarity is low.

Further, the information acquisition unit 31 acquires the association information indicating the association between the first user information and the second user information or the association between the first user information and the third user information. The first linking unit 32 links the first user information with the second user information or the first user information with the third user information based on the user linking information acquired by the information acquisition unit 31. conduct. Thereby, for example, the first linking unit 32 can link the user information to each other based on the user linking information specified by the user U.

Further, the above-mentioned information processing apparatus 1 may be realized by a plurality of server computers, and depending on the function, it may be realized by calling an external platform or the like by API (Application Programming Interface) or network computing. The configuration can be changed flexibly.

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

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various changes or improvements can be made to the above embodiments. It is also clear from the description of the claims that the form with such changes or improvements may be included in the technical scope of the present invention.

1 Information processing device 2, 2 ₁ to 2 _m-1 Server device 3, 3 ₁ to 3 _n Terminal device 4 Network 10 Communication unit 11 Storage unit 12 Control unit 20 Service information DB
21,22 User information group table 23 Linked information table 30 Service providing section 31 Information acquisition section 32 First linked section 33 Second linked section 34 Information output section

Claims (10)

The information of the second user information group including a plurality of second user information acquired through the second service different from the predetermined first service is acquired from the provider of the second service, and the first service is obtained. And an information acquisition unit that acquires information of a third user information group including a plurality of third user information acquired through a third service different from the second service from the provider of the third service .
The first user information acquired via the first service and having a larger amount of information than the second user information and the third user information is associated with the second user information. And the first linking part that links the first user information and the third user information,
An information processing apparatus comprising: a second linking section for linking the second user information and the third user information based on the linking result by the first linking section. The first tying part is
The first user information and the second user information are based on the information of the first user information group including the plurality of first user information acquired through the first service and the information of the second user information group. 1. The first user information group and the third user information group are associated with each other based on the information of the first user information group and the information of the third user information group. The information processing device described in. The first tying part is
Based on the degree of similarity between the first user information and the second user information, the first user information and the second user information are associated with each other, and the first user information and the third user information are associated with each other. The information processing apparatus according to claim 2, wherein the first user information and the third user information are associated with each other based on the degree of similarity. The second tying part is
When the similarity between the first user information and the second user information and the similarity between the first user information and the third user information satisfy a predetermined condition, the association result by the first association unit is obtained. The information processing apparatus according to claim 3, wherein the second user information and the third user information are associated with each other based on the information processing apparatus. The second tying part is
When the similarity between the first user information and the second user information and the similarity between the first user information and the third user information are equal to or more than a threshold value, it is determined that the predetermined condition is satisfied. The information processing apparatus according to claim 4. The second tying part is
When the value obtained based on the degree of similarity between the first user information and the second user information and the degree of similarity between the first user information and the third user information is equal to or more than a threshold value, the predetermined condition is satisfied. The information processing apparatus according to claim 4, wherein it is determined that the information is satisfied. The second tying part is
Based on the result of the association by the first association unit, the second user information and the third user information are temporarily associated, and the degree of similarity between the second user information and the third user information that are temporarily associated with each other. The information processing apparatus according to any one of claims 1 to 6, wherein the second user information and the third user information that are temporarily associated with the information processing device are associated with each other. The information acquisition unit
Acquires the association information indicating the association between the first user information and the second user information or the association between the first user information and the third user information.
The first tying part is
Based on the linking information acquired by the information acquisition unit, the linking of the first user information and the second user information or the linking of the first user information and the third user information is performed. The information processing apparatus according to any one of claims 1 to 7. It is an information processing method performed by a computer.
The information of the second user information group including a plurality of second user information acquired through the second service different from the predetermined first service is acquired from the provider of the second service, and the first service is obtained. And an information acquisition process of acquiring information of a third user information group including a plurality of third user information acquired through a third service different from the second service from the provider of the third service .
The first user information acquired via the first service and having a larger amount of information than the second user information and the third user information is associated with the second user information. And the first linking step of linking the first user information and the third user information,
An information processing method comprising a second linking step of linking the second user information and the third user information based on the linking result of the first linking step. The information of the second user information group including a plurality of second user information acquired through the second service different from the predetermined first service is acquired from the provider of the second service, and the first service is obtained. And an information acquisition process of acquiring information of a third user information group including a plurality of third user information acquired through a third service different from the second service from the provider of the third service .
The first user information acquired via the first service and having a larger amount of information than the second user information and the third user information is associated with the second user information. And the first linking procedure for linking the first user information and the third user information,
A second linking procedure for linking the second user information and the third user information based on the linking result by the first linking procedure,
An information processing program characterized by having a computer execute.

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