Relevance analysis device, relevance analysis method, and relevance analysis program

Patent metadata

Field	Value
Publication number	US-9245275-B2
Application number	US-201113328330-A
Country	US
Kind code	B2
Filing date	Dec 16, 2011
Priority date	Jan 17, 2011
Publication date	Jan 26, 2016
Grant date	Jan 26, 2016

Abstract

Relevance analysis devices, methods, and programs analyze a mutual relevance between a plurality of users utilizing a server that allows users to view information provided by target viewed users. The devices, methods, and programs specify an analysis reference user and an analysis target user. The devices, methods, and programs specify a route that spans between the analysis reference user and the target viewed user, and specify a mutual relevance between the analysis reference user and the analysis target user based on a number of component routes that make up the specified route and based on a number of the component routes in which an origin-side user is registered as a target viewed user by an end-side user.

First claim

What is claimed is:

1. A relevance analysis device that analyzes a mutual relevance between a plurality of users utilizing a server that allows users to view information provided by target viewed users, the relevance analysis device comprising:
a processor that:
specifies out of the plurality of users an analysis reference user who serves as a reference for analysis, and an analysis target user who serves as a target for analysis of relevance to the analysis reference user;
acquires from the server identification information that uniquely identifies the user, and registration information for specifying the target viewed user registered by the user;
based on the identification information and the registration information, specifies a route that spans between the analysis reference user and the target viewed user, the specified route being constituted from at least one component route, the specified route having an origin that corresponds to the analysis reference user and an end that corresponds to the analysis target user, each component route of the specified route having a relationship in which an end-side user of the component route is registered as the target viewed user by an origin-side user of the component route;
specifies a number of the component routes that constitute the specified route;
for each of the component routes that constitute the specified route, specifies whether the origin-side user is registered as a target viewed user by the end-side user based on the identification information and the registration information; and
specifies the mutual relevance between the analysis reference user and the analysis target user based on the specified number of the component routes and based on the number of the component routes in which the origin-side user is registered as a target viewed user by the end-side user.

2. The relevance analysis device according to claim 1 , wherein the processor:
specifies a higher mutual relevance between the analysis reference user and the analysis target user as the number of the component routes decreases; and
specifies a higher mutual relevance between the analysis reference user and the analysis target user as the number of the component routes in which the origin-side user is registered as a target viewed user by the end-side user increases.

3. The relevance analysis device according to claim 2 , wherein the processor:
when specifying the number of the component routes, counts as zero each of the component routes with the origin-side user registered as a target viewed user by the end-side user.

4. The relevance analysis device according to claim 1 , wherein the processor:
acquires, from the server together with the identification information and the registration information, provision quantity information that specifies a quantity of information provided by each of the users on the specified route;
for each of the component routes, specifies a quantity of information provided by the origin-side user addressed to the end-side user based on the provision quantity information; and
specifies the mutual relevance between the analysis reference user and the analysis target user based on the specified quantities.

5. The relevance analysis device according to claim 1 , wherein the processor selects the analysis target user based on a keyword search.

6. The relevance analysis device according to claim 1 , wherein the processor:
selects a plurality of the analysis target users based on a keyword search;
specifies the mutual relevance between the analysis reference user and each of the plurality of the analysis target users; and
communicates the specified relevance of each of the plurality of the analysis target users to a user of the relevance analysis device.

7. The relevance analysis device according to claim 1 , wherein the specified relevance of each of the plurality of the analysis target users is displayed on a display in the form of a list, the list being presented in an order based on the specified relevance of each of the plurality of the analysis target users.

8. A relevance analysis method that analyzes a mutual relevance between a plurality of users utilizing a server that allows users to view information provided by target viewed users, the relevance analysis method comprising:
specifying out of the plurality of users an analysis reference user who serves as a reference for analysis, and an analysis target user who serves as a target for analysis of relevance to the analysis reference user;
acquiring from the server identification information that uniquely identifies the user, and registration information for specifying the target viewed user registered by the user;
based on the identification information and the registration information, specifying a route that spans between the analysis reference user and the target viewed user, the specified route being constituted from at least one component route, the specified route having an origin that corresponds to the analysis reference user and an end that corresponds to the analysis target user, each component route of the specified route having a relationship in which an end-side user of the component route is registered as the target viewed user by an origin-side user of the component route;
specifying a number of the component routes that constitute the specified route;
for each of the component routes that constitute the specified route, specifying whether the origin-side user is registered as a target viewed user by the end-side user based on the identification information and the registration information; and
specifying the mutual relevance between the analysis reference user and the analysis target user based on the specified number of the component routes and based on the number of the component routes in which the origin-side user is registered as a target viewed user by the end-side user.

9. The relevance analysis method according to claim 8 , further comprising:
specifying a higher mutual relevance between the analysis reference user and the analysis target user as the number of the component routes decreases; and
specifying a higher mutual relevance between the analysis reference user and the analysis target user as the number of the component routes in which the origin-side user is registered as a target viewed user by the end-side user increases.

10. The relevance analysis method according to claim 9 , further comprising:
when specifying the number of the component routes, counting as zero each of the component routes with the origin-side user registered as a target viewed user by the end-side user.

11. The relevance analysis method according to claim 8 , further comprising
acquiring, from the server together with the identification information and the registration information, provision quantity information that specifies a quantity of information provided by each of the users on the specified route;
for each of the component routes, specifying a quantity of information provided by the origin-side user addressed to the end-side user based on the provision quantity information; and
specifying the mutual relevance between the analysis reference user and the analysis target user based on the specified quantities.

12. The relevance analysis method according to claim 8 , further comprising:
selecting the analysis target user based on a keyword search.

13. The relevance analysis method according to claim 8 , further comprising:
selecting a plurality of the analysis target users based on a keyword search;
specifying the mutual relevance between the analysis reference user and each of the plurality of the analysis tar

Assignees

• Yamada Hideo
• Muramatsu Ryuya
• Aisin Aw Co

Inventors

• Yamada Hideo
• Muramatsu Ryuya

Classifications

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title

• G06Q10/10

  Office automation; Time management · CPC title