User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization.
Yang Cai|Zhe Feng|Christopher Liaw|Aranyak Mehta|Grigoris Velegkas
| Anthology ID: | DBLP:conf/www/00010LMV24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 111-122 |
| URL: | https://doi.org/10.1145/3589334.3645495 |
| DOI: | https://doi.org/10.1145/3589334.3645495 |
| DBLP: | conf/www/00010LMV24 |
| BibTeX: |
@inproceedings{cai-2024-user,
author = {Yang Cai and
Zhe Feng and
Christopher Liaw and
Aranyak Mehta and
Grigoris Velegkas},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {111--122},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645495},
doi = {https://doi.org/10.1145/3589334.3645495}
}