Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
Yuanliang Zhang|Xiaofeng Wang|Jinxin Hu|Ke Gao|Chenyi Lei|Fei Fang
| Anthology ID: | DBLP:conf/cikm/ZhangWHGLF22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3674-3683 |
| URL: | https://doi.org/10.1145/3511808.3557154 |
| DOI: | https://doi.org/10.1145/3511808.3557154 |
| DBLP: | conf/cikm/ZhangWHGLF22 |
| BibTeX: |
@inproceedings{zhang-2022-scenarioadaptive,
author = {Yuanliang Zhang and
Xiaofeng Wang and
Jinxin Hu and
Ke Gao and
Chenyi Lei and
Fei Fang},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3674--3683},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557154},
doi = {https://doi.org/10.1145/3511808.3557154}
}