Fairness in Information Access Systems

@article{Ekstrand2022FairnessII,
  title={Fairness in Information Access Systems},
  author={Michael D. Ekstrand and Anubrata Das and Robin D. Burke and Fernando Diaz},
  journal={Found. Trends Inf. Retr.},
  year={2022},
  volume={16},
  pages={1-177}
}
Recommendation, information retrieval, and other information access systems pose unique challenges for investigating and applying the fairness and non-discrimination concepts that have been developed for studying other machine learning systems. While fair information access shares many commonalities with fair classification, the multistakeholder nature of information access applications, the rank-based problem setting, the centrality of personalization in many cases, and the role of user… 

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