doi.org/10.1145/2740908.2742726

AutoRec

..., Lexing Xie
35
Published: May 18, 2015
Abstract
This paper proposes AutoRec, a novel autoencoder framework for collaborative filtering (CF). Empirically, AutoRec's compact and efficiently trainable model outperforms state-of-the-art CF techniques (biased matrix factorization, RBM-CF and LLORMA) on the Movielens and Netflix...
Paper Fields
Paper Details
Title
AutoRec
DOI
doi.org/10.1145/2740908.2742726
Published Date
May 18, 2015
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