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} }