Enhancing E-Commerce Query Rewriting: A Large Language Model Approach with Domain-Specific Pre-Training and Reinforcement Learning.
Aijun Dai|Zhenyu Zhu|Haiqing Hu|Guoyu Tang|Lin Liu|Sulong Xu
| Anthology ID: | DBLP:conf/cikm/DaiZHTLX24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4439-4445 |
| URL: | https://doi.org/10.1145/3627673.3680109 |
| DOI: | https://doi.org/10.1145/3627673.3680109 |
| DBLP: | conf/cikm/DaiZHTLX24 |
| BibTeX: |
@inproceedings{dai-2024-enhancing,
author = {Aijun Dai and
Zhenyu Zhu and
Haiqing Hu and
Guoyu Tang and
Lin Liu and
Sulong Xu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Enhancing E-Commerce Query Rewriting: A Large Language Model Approach with Domain-Specific Pre-Training and Reinforcement Learning}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4439--4445},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680109},
doi = {https://doi.org/10.1145/3627673.3680109}
}