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1 papers

2009IEEE Computer (DOI: 10.1109/MC.2009.263)

Matrix Factorization Techniques for Recommender Systems

Chris Volinsky, Robert Bell, Yehuda Koren

Finding: Matrix factorization yielded superior predictive accuracy compared to nearest-neighbor techniques. By modeling implicit feedback, temporal effects, and confidence levels within the factorization framework, the team successfully won the $1 million Netflix Prize.

recommender systems matrix factorization