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} }