VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering.
Wanqi Ma|Xiancong Chen|Weike Pan|Zhong Ming
| Anthology ID: | DBLP:conf/wsdm/MaCP022 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 666-674 |
| URL: | https://doi.org/10.1145/3488560.3498436 |
| DOI: | https://doi.org/10.1145/3488560.3498436 |
| DBLP: | conf/wsdm/MaCP022 |
| BibTeX: |
@inproceedings{ma-2022-vae,
author = {Wanqi Ma and
Xiancong Chen and
Weike Pan and
Zhong Ming},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {666--674},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498436},
doi = {https://doi.org/10.1145/3488560.3498436}
}