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FaiRecSys: mitigating algorithmic bias in recommender systems
16 references·8 citing·29 second hop
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References

  • 2012Fairness through awareness3,501 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2013Learning Fair Representations1,126 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2008Discrimination-aware data mining676 cited
  • 2015Automated Experiments on Ad Privacy Settings664 cited
  • 2013Discrimination in Online Ad Delivery477 cited
  • 2016Algorithmic Bias334 cited
  • 2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
  • 2009Measuring Discrimination in Socially-Sensitive Decision Records175 cited
  • 2017Beyond Parity: Fairness Objectives for Collaborative Filtering

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169 cited

Cited by

  • 2021Fair Top-k Ranking with multiple protected groups59 cited
  • 2021Fairness metrics and bias mitigation strategies for rating predictions47 cited
  • 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems42 cited
  • 2021When the Umpire is also a Player32 cited
  • 2021ARTIFICIAL INTELLIGENCE’S ALGORITHMIC BIAS: ETHICAL AND LEGAL ISSUES30 cited
  • 2024The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms26 cited
  • 2024Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation20 cited
  • 2022Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling17 cited