Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness.

Harrie Oosterhuis


Anthology ID:DBLP:conf/sigir/Oosterhuis21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1023-1032
URL:https://doi.org/10.1145/3404835.3462830
DOI:https://doi.org/10.1145/3404835.3462830
DBLP:conf/sigir/Oosterhuis21
BibTeX:
@inproceedings{oosterhuis-2021-computationally, author = {Harrie Oosterhuis}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {1023--1032}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462830}, doi = {https://doi.org/10.1145/3404835.3462830} }