Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li|Yingqiang Ge|Yongfeng Zhang


Anthology ID:DBLP:conf/sigir/LiGZ21
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:2654-2657
URL:https://doi.org/10.1145/3404835.3462814
DOI:https://doi.org/10.1145/3404835.3462814
DBLP:conf/sigir/LiGZ21
BibTeX:
@inproceedings{li-2021-tutorial, author = {Yunqi Li and Yingqiang Ge and Yongfeng Zhang}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Tutorial on Fairness of Machine Learning in Recommender Systems}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {2654--2657}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462814}, doi = {https://doi.org/10.1145/3404835.3462814} }