TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance.
Jianhui Yang|Yiming Jin|Pengkun Jiao|Chenhe Dong|Zerui Huang|Shaowei Yao|Xiaojiang Zhou|Dan Ou|Haihong Tang
| Anthology ID: | DBLP:conf/www/YangJJDHYZOT26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 7955-7966 |
| URL: | https://doi.org/10.1145/3774904.3792799 |
| DOI: | https://doi.org/10.1145/3774904.3792799 |
| DBLP: | conf/www/YangJJDHYZOT26 |
| BibTeX: |
@inproceedings{yang-2026-taosragrl,
author = {Jianhui Yang and
Yiming Jin and
Pengkun Jiao and
Chenhe Dong and
Zerui Huang and
Shaowei Yao and
Xiaojiang Zhou and
Dan Ou and
Haihong Tang},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {7955--7966},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792799},
doi = {https://doi.org/10.1145/3774904.3792799}
}