Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance.

Sruthi Gorantla|Eshaan Bhansali|Amit Deshpande|Anand Louis


Anthology ID:DBLP:conf/sigir/GorantlaBDL24
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:1525-1534
URL:https://doi.org/10.1145/3626772.3657751
DOI:https://doi.org/10.1145/3626772.3657751
DBLP:conf/sigir/GorantlaBDL24
BibTeX:
@inproceedings{gorantla-2024-optimizing, author = {Sruthi Gorantla and Eshaan Bhansali and Amit Deshpande and Anand Louis}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance}}, 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 = {1525--1534}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657751}, doi = {https://doi.org/10.1145/3626772.3657751} }