Multi-stakeholder Recommendation

Multi-Stakeholder Recommendation is a recommendation paradigm that, as a distinct extension of traditional user-centric recommendation, accounts simultaneously for the preferences, needs, or objectives of multiple interacting stakeholder groups—such as producers, platforms, and consumers—within a shared ecosystem.

49

Publications

2K

Citations

181

Authors

122

Institutions

Publications per year

2017–2026

40

Authors

181

  1. HA
    Himan Abdollahpouri

    DePaul University, United States

    8 publications · 251 citations

    8

    h-index

  2. RB
    Robin Burke

    DePaul University, United States

    7 publications · 279 citations

    7

    h-index

  3. YZ
    Yong Zheng

    Illinois Institute of Technology, United States

    5 publications · 113 citations

    5

    h-index

  4. MD
    Michael D. Ekstrand

    Boise State University, United States

    4 publications · 141 citations

    4

    h-index

  5. LF
    Luciano Floridi

    University of Oxford, United Kingdom

    3 publications · 658 citations

    3

    h-index

1–5 of 181

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 168 citations

    8

    h-index

  2. Risk Analysis

    2 publications · 113 citations

    2

    h-index

  3. The Information Society

    1 publications · 67 citations

    1

    h-index

  4. IEEE Access

    1 publications · 17 citations

    1

    h-index

  5. User Modeling and User-Adapted Interaction

    1 publications · 27 citations

    1

    h-index

1–5