Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.

Xuezhi Wang|Nithum Thain|Anu Sinha|Flavien Prost|Ed H. Chi|Jilin Chen|Alex Beutel


Anthology ID:DBLP:conf/wsdm/0002TSPCCB21
Volume:WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Year:2021
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:436-444
URL:https://doi.org/10.1145/3437963.3441732
DOI:https://doi.org/10.1145/3437963.3441732
DBLP:conf/wsdm/0002TSPCCB21
BibTeX:
@inproceedings{wang-2021-practical, author = {Xuezhi Wang and Nithum Thain and Anu Sinha and Flavien Prost and Ed H. Chi and Jilin Chen and Alex Beutel}, editor = {Liane Lewin-Eytan and David Carmel and Elad Yom-Tov and Eugene Agichtein and Evgeniy Gabrilovich}, title = {{Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems}}, booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}}, pages = {436--444}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3437963.3441732}, doi = {https://doi.org/10.1145/3437963.3441732} }