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AutoRec: Autoencoders Meet Collaborative Filtering

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Date

2015

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery (ACM)

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 datasets

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Keywords

Citation

URI

http://hdl.handle.net/1885/103787

Collections

ANU Research Publications

Source

AutoRec: Autoencoders Meet Collaborative Filtering

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/2740908.2742726

Restricted until

2037-12-31

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01_Sedhain_AutoRec%3A_Autoencoders_Meet_2015.pdf (515.56 KB)

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