Unbiased Learning to Rank: On Recent Advances and Practical Applications.
Shashank Gupta|Philipp Hager|Jin Huang|Ali Vardasbi|Harrie Oosterhuis
| Anthology ID: | DBLP:conf/wsdm/0001H0VO24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1118-1121 |
| URL: | https://doi.org/10.1145/3616855.3636451 |
| DOI: | https://doi.org/10.1145/3616855.3636451 |
| DBLP: | conf/wsdm/0001H0VO24 |
| BibTeX: |
@inproceedings{gupta-2024-unbiased,
author = {Shashank Gupta and
Philipp Hager and
Jin Huang and
Ali Vardasbi and
Harrie Oosterhuis},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Unbiased Learning to Rank: On Recent Advances and Practical Applications}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1118--1121},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3636451},
doi = {https://doi.org/10.1145/3616855.3636451}
}