Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
Dan Luo|Lixin Zou|Qingyao Ai|Zhiyu Chen|Chenliang Li|Dawei Yin|Brian D. Davison
| Anthology ID: | DBLP:conf/sigir/LuoZA0LY024 |
|---|---|
| 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: | 1535-1545 |
| URL: | https://doi.org/10.1145/3626772.3657772 |
| DOI: | https://doi.org/10.1145/3626772.3657772 |
| DBLP: | conf/sigir/LuoZA0LY024 |
| BibTeX: |
@inproceedings{luo-2024-unbiased,
author = {Dan Luo and
Lixin Zou and
Qingyao Ai and
Zhiyu Chen and
Chenliang Li and
Dawei Yin and
Brian D. Davison},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation}},
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 = {1535--1545},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657772},
doi = {https://doi.org/10.1145/3626772.3657772}
}