IP Library Granted Patent US 10,956,452
Granted Patent B2
US 10,956,452 · App. 15/331,279 · Granted Mar 23, 2021

Information processing apparatus, information processing method, and non-transitory computer readable medium

Inventor: Yasuhiro Ishitobi (Kanagawa, JP)
Assignee: FUJI XEROX CO., LTD.
G06F16/285G06F16/24578G06F16/335G06F21/6254G06F2221/2101
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Quick Facts
Patent No.
US 10,956,452
App. No.
15/331,279
Granted
Mar 23, 2021
Kind
B2
Abstract

An information processing apparatus includes an extraction unit and a generation unit. The extraction unit extracts a common topic from profiles of plural users. The generation unit generates a community including users who are associated with the topic extracted by the extraction unit.

Claims (38)

1. An information processing apparatus comprising:

an extraction unit that extracts a common topic from profiles of a plurality of users; and

a generation unit that generates, (i) according to a number of the users whose profiles include the common topic extracted by the extraction unit and (ii) when a percentage of the plurality of users who have updated their profiles is greater than a threshold percentage, a community of only the users whose profiles include the common topic.

2. The information processing apparatus according to claim 1 , wherein the generation unit registers a user belonging to the community such that the user is disclosed as an anonymous user.

3. The information processing apparatus according to claim 1 ,

wherein the profiles each include static information of a user and dynamic information of the user, the static information being fixed information and the dynamic information being variable information,

wherein the extraction unit extracts the common topic by performing weighting of an appearance frequency of a word used in the static information and the dynamic information, and

wherein a weight given to the static information is different from a weight given to the dynamic information.

4. The information processing apparatus according to claim 2 ,

wherein the profiles each include static information of a user and dynamic information of the user, the static information being fixed information and the dynamic information being variable information,

wherein the extraction unit extracts the common topic by performing weighting of an appearance frequency of a word used in the static information and the dynamic information, and

wherein a weight given to the static information is different from a weight given to the dynamic information.

5. The information processing apparatus according to claim 1 ,

wherein the profiles each include dynamic information of a user, the dynamic information being variable information,

wherein the extraction unit extracts the common topic according to an appearance frequency of a word used in the dynamic information, and

wherein in a case where an amount of update of the dynamic information is equal to or more than a predetermined threshold, the generation unit generates the community.

6. The information processing apparatus according to claim 2 ,

wherein the profiles each include dynamic information of a user, the dynamic information being variable information,

wherein the extraction unit extracts the common topic according to an appearance frequency of a word used in the dynamic information, and

wherein in a case where an amount of update of the dynamic information is equal to or more than a predetermined threshold, the generation unit generates the community.

7. The information processing apparatus according to claim 1 ,

wherein the profiles each include static information of a user, the static information being fixed information,

wherein the extraction unit extracts the common topic according to an appearance frequency of a word used in the static information, and

wherein in a case where the static information is updated, the generation unit generates the community.

8. The information processing apparatus according to claim 2 ,

wherein the profiles each include static information of a user, the static information being fixed information,

wherein the extraction unit extracts the common topic according to an appearance frequency of a word used in the static information, and

wherein in a case where the static information is updated, the generation unit generates the community.

9. An information processing method comprising:

extracting a common topic from profiles of a plurality of users; and

generating, (i) according to a number of the users whose profiles include the common topic and (ii) when a percentage of the plurality of users who have updated their profiles is greater than a threshold percentage, a community of only the users whose profiles include the extracted common topic.

10. A non-transitory computer readable medium storing a program causing a computer to execute a process for information processing, the process comprising:

extracting a common topic from profiles of a plurality of users; and

generating, (i) according to a number of the users whose profiles include the common topic and (ii) when a percentage of the plurality of users who have updated their profiles is greater than a threshold percentage, a community of only the users whose profiles include the extracted common topic.

11. The information processing apparatus according to claim 1 , wherein

the generation unit generates the community to include the users whose profiles include a plurality of keywords associated with the common topic.

12. The information processing apparatus according to claim 1 , wherein

the generation unit generates the community to include users who use a keyword associated with the common topic more frequently than a predetermined threshold frequency.

Assignments (2)
CHANGE OF NAME Recorded Aug 12, 2021
From: FUJI XEROX CO., LTD.
To: FUJIFILM BUSINESS INNOVATION CORP.
Reel/Frame 058287/0056 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 21, 2016
From: ISHITOBI, YASUHIRO
To: FUJI XEROX CO., LTD.
Reel/Frame 040090/0429 →
Priority Claims (1)
JP JP2016-122198 · Jun 21, 2016 · national
Continuity (1)
Related Publication 20170364580A1 · Dec 21, 2017