AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders.

Shuai Zhang|Lina Yao|Xiwei Xu


Anthology ID:DBLP:conf/sigir/ZhangYX17
Volume:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
Year:2017
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:957-960
URL:https://doi.org/10.1145/3077136.3080689
DOI:https://doi.org/10.1145/3077136.3080689
DBLP:conf/sigir/ZhangYX17
BibTeX:
@inproceedings{zhang-2017-autosvd, author = {Shuai Zhang and Lina Yao and Xiwei Xu}, editor = {Noriko Kando and Tetsuya Sakai and Hideo Joho and Hang Li and Arjen P. de Vries and Ryen W. White}, title = {{AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders}}, booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}}, pages = {957--960}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3077136.3080689}, doi = {https://doi.org/10.1145/3077136.3080689} }