EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.
Annemarie Friedrich|Yuanqing Yu|Chongming Gao|Jiawei Chen|Annemarie Friedrich|Yuanqing Yu|Heng Tang|Yuefeng Sun|Qian Chen|Weizhi Ma|Min Zhang
| Anthology ID: | DBLP:conf/sigir/YuGCTSCMZ24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 977-987 |
| URL: | https://doi.org/10.1145/3626772.3657868 |
| DOI: | https://doi.org/10.1145/3626772.3657868 |
| DBLP: | conf/sigir/YuGCTSCMZ24 |
| BibTeX: |
@inproceedings{friedrich-2024-easyrl4rec,
author = {Annemarie Friedrich and
Yuanqing Yu and
Chongming Gao and
Jiawei Chen and
Annemarie Friedrich and
Yuanqing Yu and
Heng Tang and
Yuefeng Sun and
Qian Chen and
Weizhi Ma and
Min Zhang},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {977--987},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657868},
doi = {https://doi.org/10.1145/3626772.3657868}
}