Ranking Fairness

Ranking Fairness is a formal fairness criterion in algorithmic ranking systems that ensures equitable exposure or treatment of items or individuals with respect to sensitive attributes, differing from other fairness notions by explicitly accounting for position-based biases and relevance in ordered lists.

51

Publications

3.5K

Citations

121

Authors

80

Institutions

Publications per year

2017–2026

43

Authors

121

  1. TJ
    Thorsten Joachims

    Cornell University, United States

    6 publications · 774 citations

    6

    h-index

  2. JS
    Julia Stoyanovich

    New York University, United States

    6 publications · 549 citations

    6

    h-index

  3. MZ
    Meike Zehlike

    Max Planck Institute for Software Systems, Germany

    4 publications · 142 citations

    4

    h-index

  4. KY
    Ke Yang

    Drexel University, United States

    4 publications · 519 citations

    4

    h-index

  5. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    4 publications · 127 citations

    4

    h-index

1–5 of 121

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 152 citations

    4

    h-index

  2. 2022 ACM Conference on Fairness, Accountability, and Transparency

    Conference · 2 publications · 67 citations

    2

    h-index

  3. 2

    h-index

  4. Information Processing & Management

    2 publications · 165 citations

    2

    h-index

  5. Management Science

    2 publications · 397 citations

    2

    h-index

1–5