Reasoning-based Recommendation
Reasoning-Based Recommendation is a knowledge-based recommendation approach that leverages logical, symbolic, or interpretable inference mechanisms to derive recommendations by explicitly modeling domain knowledge and user preferences through structured reasoning processes.
91
Publications
3.7K
Citations
330
Authors
127
Institutions
Publications per year
2017–2026
42
91
Knowledge-based recommender systems
Robin Burke · 2000 · 756 citations
Fuzzy logic methods in recommender systems
Ronald R. Yager · Fuzzy Sets and Systems · 2003 · 216 citations
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127

Universidade de Vigo
Vigo, Spain
4 h-index
20 publications
715 citations
Tsinghua University
Beijing, China
4 h-index
6 publications
436 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
13 publications
1.3K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
21 publications
699 citations

University of Delhi
New Delhi, India
3 h-index
5 publications
69 citations
Osaka Institute of Technology
Osaka, Japan
2 h-index
2 publications
47 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
5 publications
85 citations
University of Technology Sydney
Sydney, Australia
2 h-index
5 publications
350 citations
1–8 of 127
7 publications · 302 citations
7
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4 publications · 260 citations
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Repository · 4 publications · 55 citations
4
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3 publications · 126 citations
3
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2 publications · 60 citations
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1–5