Recommendation Interfaces
Recommendation Interfaces is a type of human-computer interface that integrates algorithmic suggestions into the analytical workflow to guide users in data exploration, interpretation, or decision-making by filtering, ranking, or highlighting relevant information based on inferred user needs or behavior.
171
Publications
21K
Citations
475
Authors
204
Institutions
Publications per year
2017–2026
69
171
Explaining collaborative filtering recommendations
Jonathan L. Herlocker, Joseph A. Konstan, John Riedl · 2000 · 1.7K citations
Context‐Aware Recommender Systems
Gediminas Adomavičius, Bamshad Mobasher, Francesco Ricci⋆ et al. · AI Magazine · 2011 · 1.4K citations · Full text
A Survey of Explanations in Recommender Systems
Nava Tintarev, Judith Masthoff · 2007 · 556 citations
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204
KU Leuven
Leuven, Belgium
7 h-index
19 publications
932 citations

University of Minnesota
Minneapolis, United States
7 h-index
16 publications
17.7K citations
Graz University of Technology
Graz, Austria
6 h-index
12 publications
372 citations
University College Dublin
Dublin, Ireland
5 h-index
12 publications
638 citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
13 publications
1.1K citations
Hong Kong Baptist University
Hong Kong, Hong Kong
4 h-index
6 publications
181 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
5 publications
236 citations
Free University of Bozen-Bolzano
Bolzano, Italy
4 h-index
6 publications
1.6K citations
1–8 of 204
5 publications · 184 citations
5
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4 publications · 94 citations
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TKDE · 3 publications · 10.3K citations
3
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Repository · 3 publications · 69 citations
3
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2 publications · 62 citations
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