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EEE
2005
IEEE

Semantic Feedback for Hybrid Recommendations in Recommendz

13 years 9 months ago
Semantic Feedback for Hybrid Recommendations in Recommendz
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. By allowing users to provide feedback not only about an item as a whole, but also properties of an item that motivated their opinion, increased performance seems to be achieved. The features used to describe items are specified by the users of the system rather than predetermined using manual knowledge-engineering. We describe a method for combining descriptive features and simple ratings, and provide a performance analysis.
Matthew Garden, Gregory Dudek
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where EEE
Authors Matthew Garden, Gregory Dudek
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