Fairness-aware Recommendation

Fairness-Aware Recommendation is a recommendation approach that, as a member of the class of multi-stake游戏副本

104

Publications

5.2K

Citations

327

Authors

129

Institutions

Publications per year

2017–2026

99

Authors

327

  1. RB
    Robin Burke

    DePaul University, United States

    12 publications · 576 citations

    11

    h-index

  2. YG
    Yingqiang Ge

    Rutgers, The State University of New Jersey, United States

    10 publications · 1K citations

    10

    h-index

  3. YZ
    Yongfeng Zhang

    Rutgers, The State University of New Jersey, United States

    10 publications · 943 citations

    10

    h-index

  4. YL
    Yunqi Li

    Rutgers, The State University of New Jersey, United States

    6 publications · 682 citations

    6

    h-index

  5. LB
    Ludovico Boratto

    University of Cagliari, Italy

    5 publications · 178 citations

    5

    h-index

1–5 of 327

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 338 citations

    10

    h-index

  2. 5

    h-index

  3. ACM Transactions on Information Systems

    5 publications · 163 citations

    4

    h-index

  4. ACM Transactions on Intelligent Systems and Technology

    TIST · 3 publications · 211 citations

    3

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 58 citations

    3

    h-index

1–5