Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.

Bashir Rastegarpanah|Krishna P. Gummadi|Mark Crovella


Anthology ID:DBLP:conf/wsdm/RastegarpanahGC19
Volume:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Year:2019
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:231-239
URL:https://doi.org/10.1145/3289600.3291002
DOI:https://doi.org/10.1145/3289600.3291002
DBLP:conf/wsdm/RastegarpanahGC19
BibTeX:
@inproceedings{rastegarpanah-2019-fighting, author = {Bashir Rastegarpanah and Krishna P. Gummadi and Mark Crovella}, editor = {J. Shane Culpepper and Alistair Moffat and Paul N. Bennett and Kristina Lerman}, title = {{Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems}}, booktitle = {{Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019}}, pages = {231--239}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3289600.3291002}, doi = {https://doi.org/10.1145/3289600.3291002} }