System for delivering recommendations

Data processing: measuring – calibrating – or testing – Measurement system – Performance or efficiency evaluation

Reexamination Certificate

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Details

C702S183000, C702S186000, C702S188000

Reexamination Certificate

active

07013238

ABSTRACT:
A system for generating recommendations which automatically optimizes over time without human intervention is disclosed. While known recommendation systems tended to be either attribute based or collaborative filtering based, the present system adjusts its internal parameters in response to the measured performance of the recommendations as determined by user behavior. In one embodiment, the user provides feedback in the form of ratings for the recommendations. This feedback is processed and then utilized to adjust the internal parameters of the system. Over time, the system settles on optimal parameter values.

REFERENCES:
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patent: 6029195 (2000-02-01), Herz
patent: 6421612 (2002-07-01), Agrafiotis et al.
patent: 6758397 (2004-07-01), Catan
patent: 2003/0066068 (2003-04-01), Gutta et al.
patent: 2004/0210661 (2004-10-01), Thompson
Chen, H.-C., and Arbee L.P. Chen, “A Music Recommendation System Based on Music Data Grouping and User Interests,”Proceedings of the 2001 ACM CIKM 10th International Conference on Information and Knowledge Management,Atlanta, Ga., Nov. 5-10, 2001, pp. 231-238.
Dunne, J., et al., “mpME!: Music Recommendation and Exploration,”Proceedings of the 2002 International Conference on Intelligent User Interfaces(IUI 02), San Francisco, Calif., Jan. 13-16, 2002, p. 235.

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