RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.
Chenglin Li|Mingjun Zhao|Huanming Zhang|Chenyun Yu|Lei Cheng|Guoqiang Shu|Beibei Kong|Di Niu
| Anthology ID: | DBLP:conf/wsdm/LiZZYCSKN22 |
|---|---|
| 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: | 571-581 |
| URL: | https://doi.org/10.1145/3488560.3498388 |
| DOI: | https://doi.org/10.1145/3488560.3498388 |
| DBLP: | conf/wsdm/LiZZYCSKN22 |
| BibTeX: |
@inproceedings{li-2022-recguru,
author = {Chenglin Li and
Mingjun Zhao and
Huanming Zhang and
Chenyun Yu and
Lei Cheng and
Guoqiang Shu and
Beibei Kong and
Di Niu},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {571--581},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498388},
doi = {https://doi.org/10.1145/3488560.3498388}
}