Recommendation Explanations
Recommendation Explanations is a scholarly contribution in the field of recommender systems that formally constitutes an interpretable rationale generated to justify, clarify, or justify the output of a recommendation algorithm, thereby distinguishing itself from generic model explanations by being intrinsically tied to user decision-making and system transparency in personalized recommendation contexts.
197
Publications
16.6K
Citations
540
Authors
210
Institutions
Publications per year
2017–2026
147
197
Explaining collaborative filtering recommendations
Jonathan L. Herlocker, Joseph A. Konstan, John Riedl · 2000 · 1.7K citations
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang, Guokun Lai, Min Zhang et al. · 2014 · 799 citations
Explainable Recommendation a survey and new perspectives
2020 · 716 citations
1–5 of 197
540
9
h-index
Rutgers, The State University of New Jersey, United States
8 publications · 1.2K citations
8
h-index
5
h-index
5
h-index
4
h-index
1–5 of 540
210
Hong Kong Baptist University
Hong Kong, Hong Kong
7 h-index
14 publications
892 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
7 h-index
16 publications
1K citations

University of Duisburg-Essen
Essen, Germany
7 h-index
31 publications
1.4K citations
University of Science and Technology of China
Hefei, China
7 h-index
15 publications
967 citations
Tsinghua University
Beijing, China
6 h-index
18 publications
5.5K citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
10 publications
810 citations
KU Leuven
Leuven, Belgium
5 h-index
14 publications
917 citations
University of Virginia
Charlottesville, United States
5 h-index
16 publications
839 citations
1–8 of 210
Repository · 9 publications · 198 citations
9
h-index
5 publications · 130 citations
5
h-index
5 publications · 396 citations
5
h-index
Conference · 4 publications · 207 citations
4
h-index
Conference · 4 publications · 83 citations
4
h-index
1–5