Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset.

Philipp Hager|Romain Deffayet|Jean-Michel Renders|Onno Zoeter|Maarten de Rijke


Anthology ID:DBLP:conf/sigir/HagerDRZR24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1546-1556
URL:https://doi.org/10.1145/3626772.3657892
DOI:https://doi.org/10.1145/3626772.3657892
DBLP:conf/sigir/HagerDRZR24
BibTeX:
@inproceedings{hager-2024-unbiased, author = {Philipp Hager and Romain Deffayet and Jean-Michel Renders and Onno Zoeter and Maarten de Rijke}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {1546--1556}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657892}, doi = {https://doi.org/10.1145/3626772.3657892} }