Hybrid Recommender Systems: Survey and Experiments

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Summary

This paper surveys the landscape of actual and possible hybrid recommenders, and introduces a novel hybrid, EntreeC, a system that combines knowledge-based recommendation and collaborative filtering to recommend restaurants, and shows that semantic ratings obtained from the knowledge- based part of the system enhance the effectiveness of collaborative filtering.

Type
article
Published
2002-11-04
Cited by
4,504
References
75

Keywords

Collaborative filtering, Computer science, Recommender system, Variety (cybernetics), Information retrieval

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