Constraint-based Recommendation
Constraint-Based Recommendation is a recommendation approach that belongs to the class of knowledge-based methods, distinguished by its incorporation of explicit logical constraints to restrict the solution space and guide the generation of personalized recommendations in multi-stakeholder or complex preference settings.
29
Publications
1.4K
Citations
90
Authors
27
Institutions
Publications per year
2017–2026
9
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Constraint-based recommender systems
Alexander Felfernig, Robin Burke · 2008 · 262 citations
A multi-constraint learning path recommendation algorithm based on knowledge map
Haiping Zhu, Feng Tian, Ke Wu et al. · Knowledge-Based Systems · 2017 · 119 citations · Full text
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Graz University of Technology
Graz, Austria
6 h-index
29 publications
596 citations
University of Klagenfurt
Klagenfurt, Austria
6 h-index
11 publications
544 citations
National Cheng Kung University
Tainan City, Taiwan
3 h-index
10 publications
781 citations
Institute for Interdisciplinary Studies of Austrian Universities
Vienna, Austria
2 h-index
4 publications
172 citations
University of Antwerp
Antwerp, Belgium
2 h-index
2 publications
43 citations

DePaul University
Chicago, United States
2 h-index
2 publications
330 citations

Beihang University
Beijing, China
2 h-index
2 publications
43 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
2 publications
43 citations
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2 publications · 62 citations
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Repository · 2 publications · 38 citations
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Conference · 1 publications · 10 citations
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AICOM · 1 publications · 15 citations
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APJTR · 1 publications · 57 citations
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