Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
Zhaochun Ren|Na Huang|Yidan Wang|Pengjie Ren|Jun Ma|Jiahuan Lei|Xinlei Shi|Hengliang Luo|Joemon M. Jose|Xin Xin
| Anthology ID: | DBLP:conf/sigir/RenHWRMLSLJ023 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 922-931 |
| URL: | https://doi.org/10.1145/3539618.3591656 |
| DOI: | https://doi.org/10.1145/3539618.3591656 |
| DBLP: | conf/sigir/RenHWRMLSLJ023 |
| BibTeX: |
@inproceedings{ren-2023-contrastive,
author = {Zhaochun Ren and
Na Huang and
Yidan Wang and
Pengjie Ren and
Jun Ma and
Jiahuan Lei and
Xinlei Shi and
Hengliang Luo and
Joemon M. Jose and
Xin Xin},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {922--931},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591656},
doi = {https://doi.org/10.1145/3539618.3591656}
}