RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.

Kai Wang|Zhene Zou|Minghao Zhao|Qilin Deng|Yue Shang|Yile Liang|Runze Wu|Xudong Shen|Tangjie Lyu|Changjie Fan


Anthology ID:DBLP:conf/sigir/WangZZDSLWSLF23
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:2935-2944
URL:https://doi.org/10.1145/3539618.3591899
DOI:https://doi.org/10.1145/3539618.3591899
DBLP:conf/sigir/WangZZDSLWSLF23
BibTeX:
@inproceedings{wang-2023-rl4rs, author = {Kai Wang and Zhene Zou and Minghao Zhao and Qilin Deng and Yue Shang and Yile Liang and Runze Wu and Xudong Shen and Tangjie Lyu and Changjie Fan}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System}}, 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 = {2935--2944}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591899}, doi = {https://doi.org/10.1145/3539618.3591899} }