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}
}