JP2019046473A - Information processing device, information processing method and information processing program - Google Patents

Abstract

To provide an information processing device, an information processing method and an information processing program capable of associating user information of an identical user between user information groups which are managed independently from each other.SOLUTION: In information processing device according to the present application comprises an information acquisition section, a first association section and a second association section. The information acquisition section acquires: information on a second user information group which includes plural pieces of second user information and is managed separately from a first user information group including plural pieces of first user information; and the information on a third user information group which includes plural pieces of third user information and is managed separately from the first user information group. On the basis of the information acquired by the information acquisition section, the first association section associates the first user information with: the second user information; and the third user information. The second association section associates the second user information with the third user information on the basis of an association result by the first association section.SELECTED DRAWING: Figure 1

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 a network by a plurality of service providers. Then, the user uses various services via the network using a smart device such as a PC (Personal Computer), a smartphone, and a tablet terminal.

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

  In this case, the information of the same user is managed as a plurality of pieces of user information, and the collection of the attribute, the action history, and the like of the same user is performed for each of the plurality of pieces of user information. Therefore, the service provider may not be able to properly acquire user information. Then, the technique which ties several user information as information of the same user based on the information acquired from the smart device of the user is proposed (for example, refer patent document 1).

JP, 2014-38420, A

  However, when user information is managed by a separate user information group for each service, the user information groups managed independently of each other are the same depending on the content of the user information and the amount of information among service providers. It may be difficult to associate user information of a user.

  The present application has been made in view of the above, and is an information processing apparatus, an information processing method, and an information processing program that can associate user information of the same user among user information groups managed independently of each other. Intended to be provided.

  An 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 of a first user information group including a plurality of first user information, and information of a second user information group including a plurality of second user information and managed separately from the first user information group And information of a third user information group that includes a plurality of third user information and is managed separately from the first user information group. The first association unit associates the first user information and the second user information based on the information acquired by the information acquisition unit, and associates the first user information and the third user information. Attach. The second tying unit ties the second user information and the third user information based on a tying result by the first tying unit.

  According to one aspect of the embodiment, it is possible to provide an information processing apparatus, an information processing method, and an information processing program that can associate user information of the same user between different services.

FIG. 1 is an explanatory diagram of information processing according to the embodiment. FIG. 2 is a diagram illustrating an exemplary configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an exemplary configuration 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 illustrating an example of the flow of information processing in the information processing apparatus according to the embodiment. FIG. 10 is a diagram illustrating an example of a hardware configuration of a computer that executes a program.

  Hereinafter, an information processing apparatus, an information processing method, and a mode for carrying out an information processing program (hereinafter, referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by the embodiment.

[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 the embodiment. In the present embodiment, the information processing is performed by the information processing apparatus 1.

  In the example shown in FIG. 1, a plurality of businesses C1 to C3 (hereinafter sometimes referred to collectively as business C) provide services as service providers, respectively, and users who are information on each user who uses such services User information groups D1 to D3 (hereinafter sometimes referred to as user information group D in some cases) including information are held.

  The service provided by Business C is an online service that provides a service online to the user. For example, shopping service, auction service, online banking service, video distribution service, music distribution service, news distribution service, homepage provision It is a service or blog provision service. In addition, the service which the provider C provides includes the service which provides the web page which sells and introduces the goods which the provider C provides. Further, the service provided by the business operator C may include an off-line 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 provider C. The information on the user who is the user of the service includes, for example, demographic attributes of the user, information on the smart device of the user, access history, and the like.

  In the example illustrated in FIG. 1, the business operator C1 holds information of a user information group D1 including user information that is information on a user who is a service providing target of the business enterprise C1. The business operator C2 holds information of a user information group D2 including user information which is information on a user who is a service providing target of the business enterprise C2. The business operator C3 holds information of a user information group D3 including user information which is information on a user who is a service providing target of the business enterprise C3.

  The user information groups D1 to D3 are information managed by different businesses C1 to C3. The user information included in each user information group D is composed of information of a plurality of elements. For example, in the user information, a user ID for identifying the user in the provider C, information indicating an attribute of the user (hereinafter referred to as attribute information), information indicating an action history (hereinafter referred to as action history information) Including multiple information such as).

  Such user information may be information obtained from the user's input via the online service provided by the provider C (for example, name, age, gender, address, etc.) or a web page accessed by the user via the online service provided by the provider C. And information indicating the preference of the user obtained from the number of accesses and the like. Further, the user information includes information indicating the preference of the user obtained from the service or product purchased by the online service provided by the business operator C. Thus, the user information includes information obtained directly or indirectly 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 differs even for the same user. Therefore, if user information of the same user can be linked between the user information groups D, it is possible to increase the amount of information of user information about users who receive service provision across a plurality of business operators C. As the amount of user information is large, provision of information based on user information (for example, provision of advertisement information according to the user and a page according to the user) can be performed with high accuracy.

  Therefore, the information processing apparatus 1 according to the embodiment executes an information process of correlating user information between user information groups D. Such tying is also called name identification. In the example shown in FIG. 1, U101 to U103 etc. are included in the user ID included in the user information of the user information group D1, and U201 to U203 etc. are included in the user ID included in the user information of the user information group D2. included. Further, the user IDs included in the user information of the user information group D3 include U301 to U303 and the like. In the following description, it is assumed that the users with user IDs “U101”, “U202”, and “U303” are the same user.

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

  Specifically, the information processing device 1 determines whether or not the first user information and the second user information satisfy a predetermined linking 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 the degree of similarity is equal to or greater than the threshold Th1.

  Then, the information processing device 1 links the first user information and the second user information that satisfy the predetermined linking condition (step S3). For example, the information processing device 1 links the first user information and the second user information whose similarity is equal to or higher than the threshold Th1. In the example illustrated in FIG. 1, the first user information including the user ID "U101" is associated with the second user information including the user ID "U202".

  The association can be performed by generating information (hereinafter, sometimes referred to as association information) that associates the user ID of the first user information and the user ID of the second user information. The information processing apparatus 1 links the first user information and the second user information for each combination of all the first user information and the second user information that satisfy the predetermined linking condition.

Next, the information of the user information group D3 is acquired from the device of the provider C3 (for example, the server device 2 ₂ described later) (step S4). The information processing apparatus 1 describes first user information included in the user information group D1 and user information included in the user information group D3 (hereinafter referred to as third user information) based on the user information group D1 and the user information group D3. If there is a case)

  Specifically, the information processing device 1 determines whether or not the first user information and the third user information satisfy the predetermined linking condition, as in the process of step S2 (step S5). Then, the information processing device 1 links the first user information and the third user information that satisfy the predetermined linking condition, as in the process of step S3 (step S6). In the example illustrated in FIG. 1, first user information including the user ID “U101” is linked to third user information including the user ID “U303”.

  The association can be performed by generating association information which is information for associating the user ID of the first user information and the user ID of the third user information. The information processing apparatus 1 links the first user information and the third user information for all combinations of the first user information and the third user information that satisfy the predetermined linking condition.

  As described above, the information processing apparatus 1 associates the association information of the plurality of users who receive the service across the enterprise C1 and the enterprise C2, and the association of the plurality of users who receive the service across the enterprise C1 and the enterprise C3. Information can be generated. Thus, for example, by the provider C1 providing the user information group D1 and the linking information to the providers C2 and C3, the providers C2 and C3 can send a plurality of users who receive services across the provider 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 link information.

  Therefore, the information processing apparatus 1 links 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 linked, and the first user information including the user ID "U101" and the user ID The third user information including “U303” is linked. Therefore, the information processing device 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 association information which is information for associating the user ID of the second user information and 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 apparatus 1 provides the user information group D3 and the association information to the business operator C2, whereby the business operator C2 is a user for a plurality of users who receive services across the business operator C2 and the business operator C3. Information can be provided to the user and services can be provided based on the user information of the information group D2 and the user information of the user information group D3.

  As described above, the information processing apparatus 1 associates the second user information with the third user information without performing the similarity determination between the second user information and the third user information, and performs the business of the enterprise C2 and the business. It is possible to generate association information of a plurality of users who receive service across the party C3. Thereby, even if it is difficult to associate 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 It can be linked accurately.

[2. Information processing system]
FIG. 2 is a diagram illustrating an exemplary configuration of an information processing system according to the 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. To 3 _n (n is an integer of 2 or more). The information processing apparatus 1 is managed by the provider C1 as described above. The server device _{2 1 ~2 m-1} is managed by each company C2～Cm.

The information processing apparatus 1, a plurality of server devices 2 ₁ to 2 _m-1 (hereinafter sometimes referred to as server device 2) and a plurality of terminal devices 3 _{1 to} 3 _n (hereinafter referred to collectively as terminal device 3) ) Are communicably connected to each other by wire or wireless via the network 4. The network 4 is, for example, a local area network (LAN) or a wide area network (WAN) such as the Internet. The terminal devices 3 _{1 to} 3 _n are operated by users U _{1 to} U _n (hereinafter sometimes 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), a personal computer, etc., and an application such as a browser can be executed. 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 respectively acquire and store user information from the terminal device 3 of each user U who provides the online service. 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 user information to the terminal device 3 of the user U. For example, the information processing device 1 and the server device 2 provide the information of the page dedicated to the user to the terminal device 3 of the user U based on the held user information, or an advertisement with a high degree of interest of the user U Information can be provided to the terminal device 3 of the user U. Thereby, the user U can be provided with appropriate information for each user U.

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

[3. Information processing apparatus 1]
FIG. 3 is a diagram illustrating an exemplary configuration of the information processing apparatus 1 according to the embodiment. As shown in FIG. 3, the information processing apparatus 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 order.

[3.1. Communication unit 10]
The communication unit 10 is a communication interface that transmits and receives information to and from the network 4, and performs wired or wireless connection to the network 4. The control unit 12 can transmit and receive various types of information to and from the plurality of server devices 2 and terminal devices 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 devices such as a flash memory, or storage devices such as an HDD (Hard Disk Drive) and an optical disk.

  The service information DB 20 is a storage unit that stores information used for a service 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 moving image content used for moving image distribution services.

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

  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 identification information of the user U, and in the example shown in FIG. 4, “U101”, “U102”, “U103”, and “ ₄ ” as user IDs of the users U ₁ , U ₂ , U ₃ , and U _4. U104 is set. The user ID is a user account for a service that uses the information processing apparatus 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 the user ID. For example, the user ID may be identification information specified by an HTTP (Hypertext Transfer Protocol) cookie transmitted and 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, character, preference and the like. Such "psychographic attribute" is classified into, for example, attribute elements such as "car" and "travel". In the example shown in FIG. 4, “1” is stored if the preference of the user U is relatively high for each attribute element, and “0” is stored otherwise. In addition, “psychographic attribute” is not limited to the example of the attribute element shown in FIG. 4 but includes various attribute elements such as economy, politics, baseball, soccer, other sports, sweets, personal computers, white goods, furniture May be Note that the information on the attribute element is not limited to two levels of 0 and 1, and may have three or more levels.

  "Demographic attribute" indicates attribute information of the demographic user U. Such "demographic attribute" is classified into attribute elements such as "sex" and "age" of the user U, for example. In "sex", "1" is stored when the user U is a female, and "2" is stored when the user U is a male. Further, the age of the user U is stored in “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 user U's occupation, family structure, annual income, address, hometown, educational background and the like.

  The “access history” includes access information and behavior history information that the information processing device 1 acquires from the terminal device 3 when the user of the terminal device 3 uses a service provided by the information processing device 1. The access information includes information such as "date and time" and "browser". “Date and time” indicates the date and time when the terminal device 3 is accessed. In other words, “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, such as “BR01 (8.1)”, the browser name “BR01”, and the version information “8.1”. It is represented by a combination.

  The access information also includes “time difference information”, “route information”, “OS”, “plug-in”, “IP address” and the like. “Time difference information” indicates information on a 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 on a 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.

  “OS” is information on an operating system (OS) used by the terminal device 3 and includes the name and version name of the OS. “Plug-in” indicates information of plug-in incorporated in the browser (for example, identification information such as the name of the plug-in). “IP address” indicates the IP (Internet Protocol) address of the terminal device 3.

  Further, the action history information includes the history of the action performed by the user U of the terminal device 3 on 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 the product or service purchased by the user.

  Information on a plurality of user information groups D acquired from a 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, for example, in the user information group table 22. FIG. 5 is a view 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 operator ID”, “user ID”, “attribute”, and “access history” are associated.

  “Business ID” is information for identifying the business C. 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 operator ID of the business operator C3. The business operator ID of the business operator C1 is “C101”.

  The “attribute” is information indicating an attribute of the user U, and includes, for example, a psychographic attribute, a demographic attribute, and the like, as in the example illustrated in FIG. Further, “access history” is, similar to the example shown in FIG. 4, the access information that the server device 2 acquires from the terminal device 3 when the user U of the terminal device 3 uses the service provided from the server device 2 or Includes action 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 C is different among the business C. For example, different identification information is assigned to the “user ID” among the operators C, and the attribute element included in the “attribute” may be the same for the provider C.

  The user information group table 22 may be provided for each provider C. In addition, 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 in a tying process described later by the control unit 12.

  The tied information table 23 includes tied information indicating the result of tying of user information among the 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, for example, “first business ID”, “second business ID”, “first business user ID”, and “second business user ID”. Information is associated information.

  The “first business operator ID” and the “second business operator ID” are business operator IDs of two business operators C to which user information is linked. The “first business user's user ID” is a user ID included in the user information of one business C of two business C who is linked to the user information, and the “second business user's user ID” is These are user IDs included in the user information of the other provider C of the two providers C to which the user information is linked.

  In the association information table 23 shown in FIG. 6, the association result of the user information of the enterprise C1 having the enterprise ID “C101” and the enterprise C2 having the enterprise ID “C102” is included. The tying result is performed by tying the user ID. That is, the user ID included in the user information of the provider C1 and the user ID included in the user information of the provider C2 are associated with each other and linked.

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

[3.3. Control unit 12]
The control unit 12 includes, for example, a microcomputer including a central processing unit (CPU), a read only memory (ROM), a random access memory (RAM), an input / output port, and various circuits. The control unit 12 includes a service providing unit 30, an information acquisition unit 31, a first tying unit 32, a second tying unit 33, and an information output unit 34. The functions of the service providing unit 30, the information acquiring unit 31, the first associating unit 32, the second associating unit 33, and the information output unit 34 are stored in the ROM of the control unit 12 as the CPU of the control unit 12, for example. It is realized by reading and executing a program.

  The service providing unit 30, the information acquiring unit 31, the first associating unit 32, the second associating unit 33, and the information output unit 34 may be partially or entirely configured as application specific integrated circuits (ASICs) or field programmable gates (FPGAs). It may be configured by hardware such as Array).

[3.3.1. Service providing unit 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 information 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 product information and the like used for the service from the service information DB 20 and transmits it to the terminal device 3 or acquires moving image content and music content from the service information DB 20 and transmits it to the terminal device 3 You can do it.

  Further, the service providing unit 30 stores the above-described user information acquired from the terminal device 3 in the user information group table 21 when providing the service to the terminal device 3. 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.

  In addition, 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. it can. The service providing unit 30 can also determine the psychographic attribute on the basis of the above-described action history information and set it in the user information group table 21. In addition, the service providing unit 30 acquires, from the terminal device 3, user information (for example, name, age, address, etc.) input for the user U to use the service provided by the information processing apparatus 1, and the 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 tying 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 association request from the server device 2 includes a request for association with the user information of the enterprise C1 and a request for association of user information between the enterprises C other than the enterprise C1. For example, the server device 2 _1, cord or perform pegging request for association between user information and the user information of the operators C2 operators C1, and user information of the user information and company C3 operators C2 It is possible to make a pegging request that requires a peg.

Information acquiring unit 31, when acquiring the pegging request for association with the user information of the user information and company C3 operators C2 from the server device 2 _1, user information group operators C3 from the server device 2 ₂ It is possible to obtain D3 information. The information acquisition unit 31 can acquire the user information continuously updated 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 can deliver the information to the first associating unit 32 and the second associating unit 33. For example, the information acquisition unit 31 can acquire the user information stored in the storage unit 11 and can deliver the user information to the first association unit 32 and the second association unit 33. In addition, for example, the information acquisition unit 31 can acquire the tied information stored in the storage unit 11 and can deliver it to the second tied unit 33.

[3.3.3. 1st association section 32]
The first association unit 32 associates the user information of the provider C1 with the user information of the provider C other than the provider C1 based on the user information group table 21 and the user information group table 22.

  Specifically, based on the user information group table 21 and the user information group D2 of the operator C2 included in the user information group table 22, the first association unit 32 manages a plurality of pieces of user information managed by the enterprise C1. And a plurality of user information managed by the provider C2 are linked. In addition, the first association unit 32 is based on the user information group table 21 and the user information group D3 of the operator C3 included in the user information group table 22, the plurality of user information managed by the enterprise C1 and the enterprise A plurality of pieces of user information managed by C3 are linked.

  The first association unit 32 similarly manages the plurality of user information managed by the operators C other than the operators C1 to C3, based on the user information group table 21 and the user information group table 22. Can be linked to multiple user information.

  Here, the first association unit 32 describes a process of associating a plurality of user information managed by the provider C1 with a plurality of user information managed by the provider C2. The first association unit 32 determines the 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, an element constituting each user information of the first user information group D1 is a first element, and an element constituting each user information of the second user information group D2 is a second element. In addition, 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 correspond one to one, It is assumed that the number of first elements and the number of second elements are both p. That is, it is assumed that there are p pairs of first elements and second elements (hereinafter referred to as element pairs). The first associating unit 32 compares the first element and the second element included in each element pair.

  The correspondence between the first element and the second element means that the first element and the second element can be compared, and for example, the first element and the second element are identical or similar. The first linking unit 32 can treat a plurality of second elements as one second element in order to associate the first element with the second element, and the plurality of first elements as one first element It can be handled.

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

  The first association unit 32 can make a plurality of first elements correspond to a second element as one first element, and make a plurality of second elements correspond to a first element as one second element . For example, the first linkage unit 32 can treat the two second elements "overseas travel" and "domestic travel" as one second element "travel".

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

For example, the same attribute element "travel" is included in the user information managed by the provider C1 and the user information managed by the provider C2, both "1" are set, and the attribute element "travel" is compared 1 It is assumed that 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.

Also, the user information managed by the provider C1 includes the attribute element "travel", the user information managed by the provider C2 includes the attribute elements "domestic travel" and "overseas travel", and the attribute element "travel" is "1 It is assumed that at least one of the attribute elements "domestic trip" and "overseas trip" is "1". In this case, the first associating unit 32 can set x1 ₁ = x2 ₁ = 1.

In the case where the information of the attribute element is not a two-step value (1 and 0) but a three-step value or more, similar processing can be performed to obtain a non-similarity score. Further, information of attribute elements such as address, age, and name is compared based on preset criteria, and a value corresponding to (x1 _i −x2 _i ) ² is calculated by the first correlating unit 32. For example, when the attribute element is an address, it is calculated by the first pegging unit 32 so that the dissimilarity score approaches 0 as the address is closer.

  In addition, the determination method of similarity degree Rd is not limited to the example mentioned above. For example, the first association unit 32 can also calculate the similarity Rd by dividing the right side of the above equation (1) by the number of elements (hereinafter, may be referred to as comparison elements) to be compared. . In addition, the first tying unit 32 can weight the score of dissimilarity for each element and calculate the square root of the summed value, and can set the reciprocal of the square root as the similarity Rd.

  The first associating unit 32 can also calculate the sum of the scores of similarity for each comparison element, and calculate the degree of similarity Rd based on the sum. The first association unit 32 increases the score of the similarity for each comparison element, as the first element and the second element of the element pair are similar. The first correlation unit 32 calculates, for example, the similarity Rd between user information by calculating the sum of similarity scores for each comparison element and dividing the square root of the total by the number of comparison elements. be able to.

  In addition, the first correlation unit 32 calculates the sum by weighting and integrating the score of the similarity of the comparison elements, and calculating the square root of the sum as a factor corresponding to the number of comparison elements. It is also possible to calculate the similarity between user information by dividing by the value multiplied by the number.

  The first associating unit 32 determines whether or not the similarity Rd between user information is equal to or greater than a threshold Th1, and ties pieces of user information having a similarity Rd equal to or greater than the threshold Th1. Such tying is performed by generating tying information including the user ID included in the user information to be tied. The first association unit 32 sets the generated association information in the association information table 23. The tied information includes the user ID of each piece of user information to be tied.

  For example, the first association unit 32 determines the similarity Rd with the user information of the enterprise C2 for each user information of the enterprise C1, and determines the user information of the enterprise C1 whose determined similarity Rd is greater than or equal to the threshold Th1. It is possible to generate tying information that ties the user information of the business operator C2. Further, the first associating unit 32 determines the similarity Rd with the user information of the enterprise C3 for each user information of the enterprise C1, and determines the user information of the enterprise C1 whose determined similarity Rd is equal to or higher than the threshold Th1. It is possible to generate tying information that ties the user information of the business operator C3.

[3.3.4. Second association section 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 business linking unit 32. The tying result by the first tying unit 32 is set in the tying information table 23, and the second tying unit 33 is a user between two or more business operators C other than the business operator C1, based on the tying information table 23. Link information.

  For example, it is assumed that the correlating request from the server device 2 is a correlating request for correlating the user information of the provider C2 with the user information of the provider C3. In this case, the second linking unit 33 links 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. Do.

  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”. Link user information.

  Similarly, the second association 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". In addition, the second associating unit 33 associates the user information of the user ID “U228” associated with the user information of the same user ID “U103” with the user information of the user ID “U387”.

  As described above, the second associating unit 33 determines the user information of the provider C2 and the user information of the provider C3 without determining the similarity Rd between the user information of the provider C2 and the user information of the provider C3. It can be tied. Therefore, even if it is difficult to associate 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 can be accurately calculated. Can be tied well.

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

  Further, the second associating unit 33 can associate the user information among the operators C in consideration of the similarity degree Rd determined by the first associating unit 32. For example, the second association unit 33 associates user information with one another when the degree of similarity Rd set for the user information to be associated with each other satisfies a predetermined condition.

  The first association unit 32 described above can set the determined similarity degree Rd in the association information and set 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 association information table 23 illustrated in FIG. 8 includes “first enterprise ID”, “second enterprise ID”, “first enterprise user ID”, “second enterprise user ID”, and “similarity”. The information such as “is associated with the information.

  The “similarity” is the similarity Rd between the user information including the “first provider's user ID” and the user information including the “second provider's user ID”. The similarity Rd is in the range of 0 to 1, but may be three or four 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 of the user ID "U102" and the user ID The similarity Rd with the user information of “U232” is “0.72”. Further, the similarity Rd between the user information of the user ID “U103” and the user information of the user ID “U228” is “0.71”.

  The similarity Rd between the user information of user ID "U101" and the user information of user ID "U303" is "0.92", and the user information of user ID "U102" and the user of user ID "U301" The similarity Rd with information is 0.93 ". Further, 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 associating unit 33 can associate the pieces of user information with which the degree of similarity Rd satisfies a predetermined condition, based on the associating information table 23. For example, the second associating unit 33 can associate user information among the operators C on the condition that the degree of similarity Rd is equal to or larger than a threshold Th2 larger than the threshold Th1 used by the first associating 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, similarity Rd between user information of user ID “U101” and user information of user ID “U202”, similarity Rd between user information of user ID “U101” and user information of user ID “U303” Are respectively larger than the threshold Th2. Therefore, the second association unit 33 associates 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 between the user information of the user ID "U103" and the user information of the user ID "U228" , Smaller than the threshold Th2. Therefore, the second association unit 33 does not associate the user information of the user ID "U232" with the user information of the user ID "U301", but the user information of the user ID "U228" and the user information of the user ID "U387" Do not attach

  As described above, if the similarity Rd is less than the threshold Th2 even if the similarity Rd is greater than or equal to the threshold Th1, the user information is not linked. Thus, by adjusting the threshold value Th2, it is possible to suppress, for example, the linking of user information which is lower than the threshold value Th1.

  In addition, the second associating unit 33 can associate the user information among the operators C on the condition that the average value of the degrees of similarity Rd is equal to or more than the threshold Th3 used by the first associating unit 32. For example, it is assumed that the association information table 23 is in the state illustrated in FIG. 8 and the threshold value Th3 is “0.80”.

  In this case, the average value of 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 user ID "U232" and user ID "U301" is 0.825 (= {0.72 + 0.93} / 2). The average value of 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 association unit 33 associates the user information of the user ID "U202" with the user information of the user ID "U303", and the user information of the user ID "U232" and the user information of the user ID "U301". Attach. Then, the second associating unit 33 does not associate 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 equal to or higher than the threshold Th1, if the average value of the similarity Rd is less than the threshold Th3, the user information is not linked. Thus, by adjusting the threshold value Th3, it is possible to suppress, for example, tying between user information that is lower than the threshold value Th1.

  Further, the second associating unit 33 can associate the user information among the operators C on the condition that the multiplication value of the similarity degree Rd is equal to or more than the threshold Th4 used by the first associating unit 32. For example, it is assumed that the association information table 23 is in the state illustrated in FIG. 7 and the threshold value Th4 is “0.65”.

  In this case, the average value of 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 of 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 of 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 association unit 33 associates the user information of the user ID "U202" with the user information of the user ID "U303", and the user information of the user ID "U232" and the user information of the user ID "U301". Attach. Then, the second associating unit 33 does not associate the user information of the user ID “U228” with the user information of the user ID “U387”.

  As described above, even when the similarity Rd is equal to or greater than the threshold Th1, if the product of the similarity Rd is less than the threshold Th4, the user information is not linked. Thus, by setting the threshold value Th4 so that, for example, the user information is not linked such that the similarity Rd is lower than the threshold value Th1, the user information linking such as to be lower than the threshold value Th1 Can be suppressed.

  In addition, the second associating unit 33 can generate new associating information using only the associating information generated based on the associating information table 23 and set the new associating information in the associating information table 23. For example, as the association information generated by the second association unit 33, the association 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" It is assumed that the linked information to be shown is set in the linked information table 23. In this case, the second association unit 33 can generate association information associating the user information of the user ID “U303” with the user information of the user ID “U431”.

  When generating the associating information, the second associating unit 33 can determine the similarity Rd between the user information to be associated based on the similarity Rd determined by the first associating unit 32. For example, the second association unit 33 can determine the similarity Rd between the user information to be associated based on the average value or the multiplication value of the similarity 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 the weighting value k1 to the average value of the similarity Rd of user information. . In addition. The weighting value k1 is, for example, "0.9".

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

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

  Thus, the second association unit 33 can include in the association information the similarity Rd which is obtained by multiplying the weighting value k1 by the average value of the similarity Rd. Since the weighting value k1 is a value less than 1, the similarity Rd can be reduced when user information is repeatedly linked based on only the association information table 23, and the user having a low similarity Rd is Binding of information can be suppressed.

  For example, the second associating unit 33 sets the user information such that the weighting value k1 is lower than the threshold Th1 so that the user information is lower than the threshold Th1. It can suppress that a string attachment is performed.

  Further, the second tying unit 33 can also determine the similarity Rd based on a plurality of elements included in the user information, as the first tying unit 32 does. For example, based on the association information generated by the first association unit 32 and set in the association information table 23, the second association unit 33 performs temporary association between the user information of the enterprise C2 and the user information of the enterprise C3. Do.

  Then, the second association unit 33 performs the similarity Rd between the user information subjected to the temporary association based on a plurality of elements included in the user information associated with the temporary association. When the similarity Rd between the pieces of user information subjected to temporary tying is equal to or greater than the threshold Th1, the second tying unit 33 ties the pieces of user information whose similarity Rd is equal to or greater than the threshold Th1. On the other hand, when the degree of similarity Rd between the pieces of user information subjected to temporary tying is less than the threshold Th1, the second associating unit 33 does not associate the pieces of user information having the degree of similarity Rd less than the threshold Th1.

  The second associating unit 33 determines the similarity Rd between user information based on a smaller number of elements (for example, the number of 10% of comparison elements and the number of 20%) than the elements compared by the first associating unit 32. Can be determined. As a result, compared with the determination process of the similarity Rd in the first tying unit 32, while reducing the load applied to the determination process of the similarity Rd in the second tying unit 33, the user information having high similarity Rd is accurately determined. It can be tied.

  In addition, the second association unit 33 determines the similarity Rd between user information with a smaller number of elements as the total value, average value or multiplication value of the similarity Rd associated with the temporarily linked user information is larger. can do. For example, the second tying unit 33 may calculate a dissimilarity score or a similarity score as a value obtained by multiplying the inverse of the average value of the similarity Rd associated with the temporarily tied user information by the coefficient k2 Can be the number of elements to be determined (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 second associating unit 33 has an average value of 0.85 in the combination of the user information of the user ID “U202” and the user ID “U303”. In this case, the number of score determination elements can be INT (k2 / 0.85).

  In addition, since the degree of importance may differ depending on the score determination element, the second associating unit 33 can reduce the number of score determination elements as the degree of importance is higher. In this case, the second association unit 33 calculates the number of comparison elements obtained by multiplying the inverse of the average value of the similarity Rd associated with the provisionally associated user information by a coefficient, and the importance of the element is The sum of element scores that become higher the higher is made to be 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 and the information of the user information group D according to the association request from the server device 2 from the storage unit 11 and can transmit it to the server device 2 of the request source.

For example, it assumed to be the pegging request pegging request from the server apparatus 2 ₁ requests the association with the user information of the user information and company C3 operators C2. In this case, the information output unit 34 can transmit the correlating information attaching cord and user information of the user information and company C3 operators C2, and the information of the user information group D3 to the server device 2 _1.

The information output unit 34 generates the unified user information is user information that integrates the user information of the user information and company C3 string with the carrier C2, and transmits the integrated user information to the server device 2 ₁ be able to. The integrated user information may include, for example, only attributes or not, or may include both an attribute element and an access element.

  In addition, the information output unit 34 can transmit the user ID and the user information when the information acquisition unit 31 receives a user information transmission request including the user ID from the server device 2 that has 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 can transmit the acquired user information to the server device 2.

For example, the received by the information transmission request information acquisition unit 31 requests transmission of user information operators C3 carrying user information corresponding from the server device 2 ₁ with the user ID "U202". In this case, based on the association information table 23, the information output unit 34 determines that the user ID of the user information of the business operator C3 who holds the user information corresponding to the user ID "U202" is "U303".

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" was to the server device _{2 1.} The information output unit 34 can also transmit the user information and integrate user information that integrates the user information of the user ID "U303" User ID "U202" to the server device 2 _1.

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

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

  As shown in FIG. 9, the control unit 12 determines whether 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 performs provision of information and processing according to the service request to provide a 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 is 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 is not acquired (step S12: No), the control unit 12 determines whether or not there is a tying request from the server device 2 (step S14). ). If it is determined that there is a request for association (Step S14: Yes), the control unit 12 determines whether there is association information corresponding to the request for association (Step S15). For example, in the case of a correlating request for correlating user information of the business operator C2 and user information of the business operator C3, the correlating information corresponding to the correlating request includes, for example, user information of the business operator C1 and user information of the business operator C2. It is stringing information which ties string attachment information to which it ties, user information of business person C1, and user information of business person C3.

  If the second associating unit 33 of the control unit 12 determines that there is the associating information (Step S15: Yes), the second associating unit 33 associates the user information among the operators C based on the associating information (Step S16). If it is determined that there is no association information (step S15: No), the first association unit 32 of the control unit 12 associates the user information between the operators C based on the user information of the two operators C (steps S17).

  When the process of step S16 is completed, the process of step S17 is completed, or when it is determined that the association request is not present (step S14: No), the control unit 12 determines whether the server apparatus 2 requests information transmission. It is determined (step S18). If the control unit 12 determines that there is an information transmission request (step S18: Yes), the control unit 12 transmits information corresponding to the information transmission request to the server device 2 (step S19). When the process of step S19 ends 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. Modified example]
In the embodiment described above, the control unit 12 of the information processing device 1 performs the tying process when there is a tying request from the server device 2, but between the operators C who do not have the tying request from the server device 2. It is also possible to perform user information association processing.

  In addition, the first associating unit 32 and the second associating unit 33 can increase the number of attribute elements to be compared as the processing load of the information processing device 1 is smaller. The first tying unit 32 and the second tying unit 33 can execute the tying process described above when the processing load of the information processing device 1 is equal to or less than a predetermined value. As a result, it is possible to suppress that the processing load of the information processing apparatus 1 becomes too high.

  Further, although the example in which one user information group D1 is used for a plurality of services provided by the information processing apparatus 1 has been described in the embodiment described above, 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 device 1 can also perform the above-described tying process between the user information group D for each service in the information processing device 1.

  In the above-described embodiment, an example in which the amount of information of the first user information is large and the first associating unit 32 associates the first user information with other user information has been described, but the present invention is not limited thereto. For example, it is assumed that the first user information does not include any attribute element, but the second user information and the third user information include rich attribute elements. In this case, the first association unit 32 can associate the second user information with the third user information based on the second user information and the third user information.

  Then, when the first associating unit 32 can associate the first user information with the second user information based on the first user information and the second user information, the second associating unit 33 generates the second user with the second user. The first user information and the third user information can be linked based on the linking result of the information and the third user information and the linking result of the first user information and the second user information. Thus, the second association unit 33 can also associate the first user information with other user information.

  In addition, 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 a process of associating user information based on the acquired association information. Can. For example, the information acquisition unit 31 acquires user association information indicating association of 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 acquires the acquired user association information. It can be delivered to the first associating unit 32. The user association information includes, for example, two or more user IDs associated with one another in the same manner as 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 association unit 32 generates the first user information based on the acquired user association information. And the second user information can be linked. Then, based on the result of linking the second user information and the third user information, and the result of linking the first user information and the second user information by the first linking unit 32, the second linking unit 33 The one user information and the third user information can be linked. Thus, the second association unit 33 can also associate the first user information with other user information.

  In addition, although the example mentioned above demonstrated user's information of business operators C1-C3 as 1st user information, 2nd user information, and 3rd user information for convenience of explanation, it is not limited to this example. For example, the control unit 12 may refer to the first user information described above as second user information or third user information, and may refer to the 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, for example, when a computer 200 having a configuration as shown in FIG. 10 executes a program.

  FIG. 10 is a diagram illustrating 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 a program stored in the ROM 203 or the HDD 204 to control each part. The ROM 203 stores a boot program executed by the CPU 201 at startup of the computer 200, a program depending on the hardware of the computer 200, and the like.

  The HDD 204 stores data and the like used by programs 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 it to the CPU 201, and transmits 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 an 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 a program or data stored in the recording medium 208 and provides the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 via the media interface 207 onto the RAM 202, and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a digital versatile disc (DVD) or a phase change rewritable disc (PD), a magneto-optical recording medium such as a magneto-optical disk (MO), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  The CPU 201 of the computer 200 implements the functions of the control unit 12 described above by executing the program loaded on the RAM 202. Further, a part or all of the control unit 12 may be configured only by hardware.

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

  The HDD 204 corresponds to the storage unit 11 and stores data similar to that of the storage unit 11. Also, instead of the HDD 204, a semiconductor memory device 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 associating unit 32, and a second associating unit 33. The information acquisition unit 31 includes information of a user information group D1 (an example of a first user information group) including a plurality of user information (an example of first user information) of the provider C1, and a plurality of user information of the provider C2. Information of a user information group D2 (an example of a 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 provider 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 association unit 32 associates a plurality of user information of the enterprise C1 with a plurality of user information of the enterprise C2 based on the information acquired by the information acquisition unit 31, and a plurality of the enterprise C1. The user information is associated with a plurality of user information of the provider C3. The second linking unit 33 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. Thereby, even if it is difficult to associate the second user information and the third user information based on the information acquired by the information acquisition unit 31, the accuracy of the second user information and the third user information can be obtained. Can be tied well.

  In addition, the first association unit 32 associates the plurality of user information of the business operator C1 with the 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 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. 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, it is possible to accurately string the second user information and the third user information. Can be attached.

  The first association unit 32 associates the user information of the enterprise C1 with the user information of the enterprise C2 based on the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C2. In addition, the first association unit 32 associates the user information of the enterprise C1 with the user information of the enterprise C3 based on the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C3. As a result, it is possible to accurately associate each user information of the enterprise C1 with the user information of the enterprise C2, and accurately associate the user information of the enterprise C1 and the user information of the enterprise C3.

  Further, in the second association unit 33, the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C2 and the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise 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 linked based on the linking result by the first linking unit 32. As a result, it is possible to prevent the user information from being linked to each other such that the similarity Rd is low.

  Further, in the second association unit 33, the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C2 and the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C3 are threshold values. When Th2 or more, it is determined that the above-described predetermined condition is satisfied. As a result, it is possible to prevent the user information from being linked to each other such that the similarity Rd is low.

  In addition, the second association unit 33 is based on the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C2, and the similarity Rd between the user information of the enterprise C1 and the user information of the enterprise C3. If the obtained values (for example, an average value or a multiplication value) are greater than or equal to the threshold values Th3 and Th4, it is determined that the above-described predetermined condition is satisfied. As a result, it is possible to prevent the user information from being linked to each other such that the similarity Rd is low.

  In addition, the second linking unit 33 temporarily links the user information of the provider C2 and the user information of the provider C3 on the basis of the linking result by the first linking unit 32, and temporarily links the user information of the provider C2. Based on the similarity Rd between the user information and the user information of the provider C3, the user information of the provider C2 temporarily linked is associated with the user information of the provider C3. As a result, it is possible to prevent the user information from being linked to each other such that the degree of similarity is low.

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

  In addition, the above-described information processing apparatus 1 may be realized by a plurality of server computers, and depending on the function, 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.

  Also, the "section (module, unit)" described above 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.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It is apparent to those skilled in the art that various changes or modifications can be added to the above embodiment. It is also apparent from the scope of the claims that the embodiments added with such alterations or improvements can be included in the technical scope of the present invention.

1 the information processing apparatus 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 the control unit 20 the service information DB
21 and 22 user information group table 23 association information table 30 service providing unit 31 information acquisition unit 32 first association unit 33 second association unit 34 information output unit

Claims (10)

Information of a first user information group including a plurality of first user information, information of a second user information group including a plurality of second user information and managed separately from the first user information group, and a plurality of third information An information acquisition unit that acquires user information and information on a third user information group managed separately from the first user information group;
A first association unit for associating the first user information and the second user information based on the information acquired by the information acquisition unit and associating the first user information and the third user information; ,
An information processing apparatus, comprising: a second associating unit that associates the second user information with the third user information based on the result of the association by the first associating unit. The first linking unit is
The first user information and the second user information are linked based on the information of the first user information group and the information of the second user information group, and the information of the first user information group and the third information The information processing apparatus according to claim 1, wherein the first user information and the third user information are linked based on information of a user information group. The first linking unit is
The first user information and the second user information are linked based on the similarity between the first user information and the second user information, and the first user information and the third user information The information processing apparatus according to claim 2, wherein the first user information and the third user information are linked based on the degree of similarity. The second linking unit is
When 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 satisfy a predetermined condition, the tying result by the first tying unit The information processing apparatus according to claim 3, wherein the second user information and the third user information are linked based on the information. The second linking unit is
It is determined that the predetermined condition is satisfied 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 greater than a threshold. The information processing apparatus according to claim 4, characterized in that The second linking unit is
When the value obtained based on 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 is equal to or greater than a threshold, the predetermined condition is set. It determines with satisfy | filling The information processing apparatus of Claim 4 characterized by the above-mentioned. The second linking unit is
The second user information and the third user information are temporarily linked based on the linking result by the first linking unit, and the degree of similarity between the second user information and the third user information that is tentatively linked The information processing apparatus according to any one of claims 1 to 6, wherein the temporarily linked second user information and the third user information are linked on the basis of. The information acquisition unit
Acquiring association information indicating association between the first user information and the second user information or association between the first user information and the third user information;
The first linking unit is
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 based on the association information acquired by the information acquisition unit The information processing apparatus according to any one of claims 1 to 7, characterized in that An information processing method performed by a computer,
Information of a first user information group including a plurality of first user information, information of a second user information group including a plurality of second user information, and managed separately from the information of the first user information group, and a plurality of information An information acquisition step of acquiring third user information and information of a third user information group managed separately from the first user information group;
A first correlating step of correlating the first user information and the second user information based on the information acquired by the information acquiring step and correlating the first user information and the third user information; ,
An information processing method, comprising: a second tying step of tying the second user information and the third user information based on the tying result of the first tying step. Information of a first user information group including a plurality of first user information, information of a second user information group including a plurality of second user information, and managed separately from the information of the first user information group, and a plurality of information An information acquisition procedure for acquiring information of a third user information group that includes third user information and is managed separately from the first user information group;
A first correlating procedure of correlating the first user information and the second user information and correlating the first user information and the third user information based on the information acquired by the information acquiring procedure; ,
A second tying procedure for tying the second user information and the third user information on the basis of the tying result by the first tying procedure;
An information processing program characterized by causing a computer to execute.

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