Explainable Hybrid Recommendation is a hybrid recommendation approach that integrates multiple recommendation techniques and explicitly provides transparent, interpretable justifications for its recommendations to enhance user trust and understanding.
9
Publications
379
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
6
Parents
Publications
9
Personalized explanations for hybrid recommender systems
Pigi Kouki, James Schaffer, Jay Pujara et al. · 2019 · 165 citations · Full text
1–5 of 9
Authors
21
- AV
2
h-index
- DZ
2
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- MP
1
h-index
- PB
1
h-index
- CT
1
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1–5 of 21
Institutions
12
Cornell University
Ithaca, United States
2 h-index
2 publications
31 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
165 citations
Imperial College London
London, United Kingdom
1 h-index
3 publications
189 citations
Slovak University of Technology in Bratislava
Bratislava, Slovakia
1 h-index
3 publications
39 citations
California Southern University
Chandler, United States
1 h-index
1 publications
165 citations
National Research Council Canada
Ottawa, Canada
1 h-index
1 publications
11 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
165 citations
DEVCOM Army Research Laboratory
Adelphi, United States
1 h-index
1 publications
165 citations
1–8 of 12
Venues
- 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
Conference · 1 publications · 28 citations
1
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- Computer Science and Information Systems
1 publications · 13 citations
1
h-index
- 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Conference · 1 publications · 11 citations
1
h-index
- European Journal of Cancer
1 publications · 13 citations
1–4