The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 02, 2019

Filed:

Jan. 22, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Currie P. Boyle, Burnaby, CA;

Yu Zhang, Vancouver, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06F 16/28 (2019.01); G06F 16/23 (2019.01); G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/23 (2019.01); G06F 16/24575 (2019.01); G06F 16/24578 (2019.01); G06F 16/9535 (2019.01); H04L 67/306 (2013.01);
Abstract

In a system, a similarity based clustering algorithm is executed to generate clusters of user profiles. Each cluster includes a group of users in an electronic community. Each cluster represents a relationship between the users in each group that each cluster includes. Each cluster is stored in a user profile and relationship database. The similarity based clustering algorithm includes s a member importance function and a member similarity function. The member importance function ascertains an importance value of keywords as a depth of the keywords in a semantic hierarchical tree. The member similarity function ascertains a similarity distance between keywords as a path distance between the keywords in the semantic hierarchical tree. Executing the similarity based clustering algorithm includes: using the member importance function and the member similarity function to ascertain the clusters.


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