Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding.
Xiaoyu Wang|Yonghui Guo|Bin Tan|Tao Yang|Dongbo Huang|Lan Xu|Hao Zhou|Xiangyang Li
| Anthology ID: | DBLP:conf/wsdm/WangGTYHX0024 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 750-759 |
| URL: | https://doi.org/10.1145/3616855.3635756 |
| DOI: | https://doi.org/10.1145/3616855.3635756 |
| DBLP: | conf/wsdm/WangGTYHX0024 |
| BibTeX: |
@inproceedings{wang-2024-follow,
author = {Xiaoyu Wang and
Yonghui Guo and
Bin Tan and
Tao Yang and
Dongbo Huang and
Lan Xu and
Hao Zhou and
Xiangyang Li},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {750--759},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635756},
doi = {https://doi.org/10.1145/3616855.3635756}
}