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} }