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} }