MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search.
Peng Cheng|Huimu Wang|Jinyuan Zhao|Yihao Wang|Enqiang Xu|Yu Zhao|Zhuojian Xiao|Songlin Wang|Guoyu Tang|Lin Liu|Sulong Xu
| Anthology ID: | DBLP:conf/cikm/ChengWZWXZXWTLX24 |
|---|---|
| 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: | 3694-3698 |
| URL: | https://doi.org/10.1145/3627673.3679964 |
| DOI: | https://doi.org/10.1145/3627673.3679964 |
| DBLP: | conf/cikm/ChengWZWXZXWTLX24 |
| BibTeX: |
@inproceedings{cheng-2024-modrlta,
author = {Peng Cheng and
Huimu Wang and
Jinyuan Zhao and
Yihao Wang and
Enqiang Xu and
Yu Zhao and
Zhuojian Xiao and
Songlin Wang and
Guoyu Tang and
Lin Liu and
Sulong Xu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3694--3698},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679964},
doi = {https://doi.org/10.1145/3627673.3679964}
}