AutoRec: Autoencoders Meet Collaborative Filtering

2015-05-18Proceedings of the 24th International Conference on World Wide Web 2015Code Available0· sign in to hype

Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie

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Code

github.com/tuanio/AutoRec
pytorch★ 9
github.com/gtshs2/Autorec
tf★ 0

Abstract

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.

Tasks

Collaborative Filtering Recommendation Systems

AutoRec: Autoencoders Meet Collaborative Filtering

Code

Abstract

Tasks

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