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Recommendations without user preferences: a natural language processing approach

9 years 6 months ago
Recommendations without user preferences: a natural language processing approach
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement and apply techniques from Natural Language Processing to the domain of movie recommendation. We describe two algorithms, a naïve word-space approach and a more sophisticated approach using topic signatures, and evaluate their performance compared to baseline, gold standard, and commercial approaches. KEYWORDS Recommender systems, Natural Language Processing, content-based, similarity metrics
Michael Fleischman, Eduard H. Hovy
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where IUI
Authors Michael Fleischman, Eduard H. Hovy
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