Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling.
Jie Wang|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose
| Anthology ID: | DBLP:conf/sigir/WangKAJ24 |
|---|---|
| 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: | 375-385 |
| URL: | https://doi.org/10.1145/3626772.3657767 |
| DOI: | https://doi.org/10.1145/3626772.3657767 |
| DBLP: | conf/sigir/WangKAJ24 |
| BibTeX: |
@inproceedings{wang-2024-reinforcement,
author = {Jie Wang and
Alexandros Karatzoglou and
Ioannis Arapakis and
Joemon M. Jose},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling}},
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 = {375--385},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657767},
doi = {https://doi.org/10.1145/3626772.3657767}
}