Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization.

Hong-Kyun Bae|Hae-Ri Jang|Won-Yong Shin|Sang-Wook Kim


Anthology ID:DBLP:conf/www/BaeJSK25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:5010-5021
URL:https://doi.org/10.1145/3696410.3714731
DOI:https://doi.org/10.1145/3696410.3714731
DBLP:conf/www/BaeJSK25
BibTeX:
@inproceedings{bae-2025-ranking, author = {Hong-Kyun Bae and Hae-Ri Jang and Won-Yong Shin and Sang-Wook Kim}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {5010--5021}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714731}, doi = {https://doi.org/10.1145/3696410.3714731} }