Matrix Factorization Techniques for Recommender Systems
Abstract
As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence...
Paper Details
Title
Matrix Factorization Techniques for Recommender Systems
Published Date
Aug 1, 2009
Journal
Volume
42
Issue
8
Pages
30 - 37
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