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US Patent 7739314 Scalable user clustering based on set similarity

Patent 7739314 was granted and assigned to Google on June, 2010 by the United States Patent and Trademark Office.

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Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7739314
Date of Patent
June 15, 2010
Patent Application Number
11204922
Date Filed
August 15, 2005
Patent Primary Examiner
Charles Rones
Charles Rones
Patent abstract

Methods and apparatus, including systems and computer program products, to provide clustering of users in which users are each represented as a set of elements representing items, e.g., items selected by users using a system. In one aspect, a program operates to obtain a respective interest set for each of multiple users, each interest set representing items in which the respective user expressed interest; for each of the users, to determine k hash values of the respective interest set, wherein the i-th hash value is a minimum value under a corresponding i-th hash function; and to assign each of the multiple users to each of the respective k clusters established for the respective user, the i-th cluster being represented by the i-th hash value. The assignment of each of the users to k clusters is done without regard to the assignment of any of the other users to k clusters.

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