Exposure Fairness

Exposure Fairness is a normative principle in multi-stakeholder recommendation systems that allocates visibility opportunities among items or content providers according to a predefined criterion of equitable representation, thereby ensuring that marginalized or less popular entities receive a fair chance of being seen relative to dominant ones.

8

Publications

263

Citations

39

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

39

  1. QD
    Qiang Dong

    University of Electronic Science and Technology of China, China

    1 publications · 16 citations

    1

    h-index

  2. QL
    Qian Li

    University of Technology Sydney, Australia

    1 publications · 24 citations

    1

    h-index

  3. TR
    Tuukka Ruotsalo

    University of Helsinki, Finland

    1 publications · 33 citations

    1

    h-index

  4. JL
    Jiayu Li

    Tianjin University, China

    1 publications · 21 citations

    1

    h-index

  5. CL
    Christina Lioma

    University of Copenhagen, Denmark

    1 publications · 33 citations

    1

    h-index

1–5 of 39

Venues

  1. 2

    h-index

  2. ACM Transactions on Information Systems

    3 publications · 100 citations

    2

    h-index

  3. IEEE Access

    1 publications · 16 citations

    1

    h-index

  4. ACM Transactions on Recommender Systems

    1 publications · 33 citations

    1

    h-index

  5. 1

    h-index

1–5