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} }