Agentic Feedback Loop Modeling Improves Recommendation and User Simulation.
Shihao Cai|Jizhi Zhang|Keqin Bao|Chongming Gao|Qifan Wang|Fuli Feng|Xiangnan He
| Anthology ID: | DBLP:conf/sigir/CaiZBGWF025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2235-2244 |
| URL: | https://doi.org/10.1145/3726302.3729893 |
| DOI: | https://doi.org/10.1145/3726302.3729893 |
| DBLP: | conf/sigir/CaiZBGWF025 |
| BibTeX: |
@inproceedings{cai-2025-agentic,
author = {Shihao Cai and
Jizhi Zhang and
Keqin Bao and
Chongming Gao and
Qifan Wang and
Fuli Feng and
Xiangnan He},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Agentic Feedback Loop Modeling Improves Recommendation and User Simulation}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {2235--2244},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729893},
doi = {https://doi.org/10.1145/3726302.3729893}
}