Explainable Recommender Systems Professors in Global

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Francesco Barile
Maastricht University Netherlands
recommender systems
group recommender systems
explainable ai
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Cherie Ding
Toronto Metropolitan University Canada
recommender systems
recommendation systems
diversity-integrated recommendation
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Nava Tintarev
Maastricht University Netherlands
recommender systems
explainable ai
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Edward Abel
University of Southern Denmark Denmark
recommender systems
explainability
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Dianer Yu
University of New South Wales Australia
recommendation systems
explainable ai
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Masoud Mansoury
Delft University of Technology Netherlands
No active positions
trustworthy recommender systems
explainability
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Katrien Verbert
KU Leuven Belgium
No active positions
interactive recommender systems
explainable ai
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
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Toine Bogers
Aalborg University Denmark
recommender systems
content-based recommendation
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Amir Rahnama
KTH Royal Institute of Technology Sweden
explainable machine learning
interpretable machine learning
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Zihuai University
Stanford University United States of America
explainable machine learning
interpretable machine learning
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Markel Vigo
University of Manchester United Kingdom
explainable ai
usable decision-making
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Anders Christensen
Technical University of Denmark Denmark
explainable ai
decision support systems
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Ghita Berrada
London School of Economics and Political Science United Kingdom
explainability
decision support systems
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Roos Vonk
Radboud University Netherlands
system justification
motivated reasoning
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Olga Baysal
Carleton University Canada
recommender systems
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Ayse Sunar
University of Warwick United Kingdom
recommender systems
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Yuan Tian
Queen's University Canada
recommender systems
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Raymond Wong
Texas A&M University United States of America
recommender systems
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Peter Dolog
Aalborg University Denmark
recommender systems
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Antonius Bogers
University of Copenhagen Denmark
recommender systems
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