Method and system for predicting personal preferences

Data processing: artificial intelligence – Miscellaneous

Reexamination Certificate

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Details

C706S018000, C706S021000, C706S045000, C705S001100, C705S014270, C705S012000

Reexamination Certificate

active

07877346

ABSTRACT:
The invention provides techniques for building multiple predictive models of individuals' affinities for attributes of objects and/or services. The accuracies of multiple predictive models are measured and the models are combined based on the measurements, resulting in a more accurate predictive model of individual-specific affinities for attributes of the objects and/or services.

REFERENCES:
patent: 5704017 (1997-12-01), Heckerman et al.
patent: 6041311 (2000-03-01), Chislenko et al.
patent: 6438579 (2002-08-01), Hosken
patent: 2004/0199923 (2004-10-01), Russek
patent: 2005/0203807 (2005-09-01), Bezos et al.
patent: 2005/0261953 (2005-11-01), Malek et al.
Adomavicius et al., “Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions”, IEEE Transactions of Knowledge and Data Engineering, 2005, pp. 734-749.
Pazzani, “A framework for collaborative, content-based and demographic filtering”, 2000, pp. 393-408.

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