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
Parents
49
Recommender systems and their ethical challenges
Silvia Milano, Mariarosaria Taddeo, Luciano Floridi · AI & Society · 2020 · 503 citations · Full text
Multistakeholder recommendation with provider constraints
Özge Sürer, Robin Burke, Edward C. Malthouse · 2018 · 68 citations
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122

Illinois Institute of Technology
Chicago, United States
4 h-index
8 publications
216 citations
Boise State University
Boise, United States
3 h-index
3 publications
45 citations
University of Colorado Boulder
Boulder, United States
3 h-index
8 publications
155 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
240 citations
University of Oxford
Oxford, United Kingdom
3 h-index
9 publications
2K citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
4 publications
220 citations

Reserve Bank of Australia
Sydney, Australia
2 h-index
2 publications
29 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
110 citations
1–8 of 122
Repository · 8 publications · 168 citations
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2 publications · 113 citations
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1 publications · 67 citations
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1 publications · 17 citations
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1 publications · 27 citations
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