AutoRec: Autoencoders Meet Collaborative Filtering
نویسندگان
چکیده
This paper proposes AutoRec, a novel autoencoder framework for collaborative filtering (CF). Empirically, AutoRec’s compact and efficiently trainable model outperforms stateof-the-art CF techniques (biased matrix factorization, RBMCF and LLORMA) on the Movielens and Netflix datasets.
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تاریخ انتشار 2015