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