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}
}