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.
Patent No.:
Date of Patent:
Feb. 07, 2006
Filed:
Oct. 08, 1997
Soumen Chakrabarti, San Jose, CA (US);
Byron Edward Dom, Los Gatos, CA (US);
David Andrew Gibson, Berkeley, CA (US);
Jon Michael Kleinberg, Ithaca, NY (US);
Prabhakar Raghavan, Saratoga, CA (US);
Sridhar Rajagopalan, San Jose, CA (US);
Soumen Chakrabarti, San Jose, CA (US);
Byron Edward Dom, Los Gatos, CA (US);
David Andrew Gibson, Berkeley, CA (US);
Jon Michael Kleinberg, Ithaca, NY (US);
Prabhakar Raghavan, Saratoga, CA (US);
Sridhar Rajagopalan, San Jose, CA (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A system and method are provided for eliciting interesting structure from a collection of entities or resources with explicit and/or implicit, static and/or dynamic relations, called 'affinities,' between them. Interesting structure includes (1) notions of quality, authority, or definitiveness of information, (2) notions of relevance to a user's information need, (3) notions of similarity among the plurality of resources retrieved from a universe of resources by a query process, and (4) notions of similarity among the usages of resources by different users/servers. Similarities between entities are computed, based on similarities between the affinity values for the entities. That is, where the affinitiy values for two entities resemble each other, the two entities have a high degree of similarity. Using the similarities, the entities are ranked, clustered, etc., based on a significance derived from the similarities. The ranking, clustering, etc., makes up the interesting structure which is sought.