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Fairness in Recommender Systems: Research Landscape and Future
  Directions

Fairness in Recommender Systems: Research Landscape and Future Directions

23 May 2022
Yashar Deldjoo
Dietmar Jannach
Alejandro Bellogín
Alessandro Difonzo
Dario Zanzonelli
    OffRL
    FaML
ArXivPDFHTML

Papers citing "Fairness in Recommender Systems: Research Landscape and Future Directions"

4 / 4 papers shown
Title
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
91
195
0
21 Apr 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
66
40
0
05 Jan 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
278
3,347
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
174
1,911
0
24 Oct 2016
1