Recommender System Governance
Recommender System Governance is a form of platform governance that specifically regulates the design, operation, and impact of algorithmic recommendation systems to ensure transparency, accountability, fairness, and user autonomy within digital environments.
10
Publications
824
Citations
34
Authors
29
Institutions
Publications per year
2017–2026
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Parents
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Recommender systems and their ethical challenges
Silvia Milano, Mariarosaria Taddeo, Luciano Floridi · AI & Society · 2020 · 503 citations · Full text
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29
Stanford University
Stanford, United States
2 h-index
4 publications
220 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
4 publications
220 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
110 citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
110 citations
University of Washington
Seattle, United States
2 h-index
4 publications
220 citations
University of Oxford
Oxford, United Kingdom
2 h-index
6 publications
1.8K citations
Photon Spot (United States)
Monrovia, United States
1 h-index
2 publications
192 citations
Alpha Omega Alpha Medical Honor Society
Menlo Park, United States
1 h-index
1 publications
96 citations
1–8 of 29
Repository · 2 publications · 107 citations
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Repository · 1 publications · 14 citations
1
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1 publications · 22 citations
1
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1 publications · 503 citations
1
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1 publications · 96 citations
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1–5