CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li|Yingqiang Ge|Yongfeng Zhang


Anthology ID:DBLP:conf/cikm/0003GZ21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4857-4860
URL:https://doi.org/10.1145/3459637.3483280
DOI:https://doi.org/10.1145/3459637.3483280
DBLP:conf/cikm/0003GZ21
BibTeX:
@inproceedings{li-2021-cikm, author = {Yunqi Li and Yingqiang Ge and Yongfeng Zhang}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {4857--4860}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3483280}, doi = {https://doi.org/10.1145/3459637.3483280} }