Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function.
Xiang Li|Yanghao Xiao|Chunyuan Zheng|Qian Zou|Cheng Bing|Wei Lin|Haoxuan Li|Zhouchen Lin
| Anthology ID: | DBLP:conf/sigir/LiXZZBLLL26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 993-1004 |
| URL: | https://doi.org/10.1145/3805712.3809750 |
| DOI: | https://doi.org/10.1145/3805712.3809750 |
| DBLP: | conf/sigir/LiXZZBLLL26 |
| BibTeX: |
@inproceedings{li-2026-optimizing,
author = {Xiang Li and
Yanghao Xiao and
Chunyuan Zheng and
Qian Zou and
Cheng Bing and
Wei Lin and
Haoxuan Li and
Zhouchen Lin},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {993--1004},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809750},
doi = {https://doi.org/10.1145/3805712.3809750}
}