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} }