作者
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie
发表日期
2015/5/18
图书
Proceedings of the 24th international conference on World Wide Web
页码范围
111-112
简介
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 datasets.
学术搜索中的文章
S Sedhain, AK Menon, S Sanner, L Xie - Proceedings of the 24th international conference on …, 2015