Anand Ramamurthy

Website User Profiling Using Anonymously Collected Data

Application

#8626697 Jan 7, 2014

Filed

Feb 28, 2011

Inventor

Olivier Antoine Chaine (Los Angeles, CA) · Benoit Vatere (Redondo Beach, CA) · Anand Ramamurthy (Hermosa Beach, CA) · Scott A. Riley (Bourbonnais, IL)

Appl. No.

13/037168

Assignee

magnify360, Inc. (Los Angeles, CA)

International Classification

G06F 17/00, G06N 5/02

U.S. Classification

706 50, 709222, 709217, 709224, 709228, 709229

Abstract

First contextual data characterizing behavioral attributes of a user visiting at least one web page is received. The first contextual data is collected by anonymously tracking interaction of the user with the at least one web page via a data collector embedded in the at least one web page. Second contextual data characterizing non-behavioral attributes of the user is also received. The second contextual data is based solely on anonymously collected information and it originates from a data source other than the data collector. Thereafter, it is determined which attributes among a plurality of pre-defined attributes are present for the user based on the first contextual data and the second contextual data. The determined plurality of attributes are associated with a best fit amongst a plurality of clusters or associations generated by grouping users with similar attributes that participated in a plurality of historical transactions. Subsequently, using at least one predictive model trained with historical user conversion data, it is determined which of a plurality of available offers for presentation via at least one web page is most likely to result in a conversion of the user based on the pertinent cluster or association so that the presentation of the identified available offer can be initiated.