TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers.

Yao Wu|Jian Cao|Guandong Xu|Yudong Tan


Anthology ID:DBLP:conf/sigir/Wu0XT21
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:1013-1022
URL:https://doi.org/10.1145/3404835.3462882
DOI:https://doi.org/10.1145/3404835.3462882
DBLP:conf/sigir/Wu0XT21
BibTeX:
@inproceedings{wu-2021-tfrom, author = {Yao Wu and Jian Cao and Guandong Xu and Yudong Tan}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {1013--1022}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462882}, doi = {https://doi.org/10.1145/3404835.3462882} }