Content Boosted Matrix Completion
نویسنده
چکیده
Recommender systems are widely used in modern business. Most recommendation algorithms are based on collaborative filtering. In this paper, we study different ways to incorporate content information directly into the matrix completion approach of collaborative filtering. These content-boosted matrix completion algorithms can achieve better recommendation accuracy.
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