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} }