Similarity Computation
Similarity Computation is a methodological construct within knowledge-based recommendation systems that quantifies the degree of likeness between knowledge elements—such as user profiles, items, or attributes—by employing domain-specific features or semantic relations to enable personalized suggestion generation.
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2017–2026
804
2.2K
An Information-Theoretic Definition of Similarity
Dekang Lin · 1998 · 3.7K citations
Yizhou Sun, Jiawei Han, Xifeng Yan et al. · Proceedings of the VLDB Endowment · 2011 · 1.9K citations
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Centre National de la Recherche Scientifique
Paris, France
20 h-index
50 publications
3.2K citations
Tsinghua University
Beijing, China
20 h-index
82 publications
3.5K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
89 publications
4.3K citations
Microsoft (United States)
Redmond, United States
18 h-index
44 publications
23.3K citations
University of Science and Technology of China
Hefei, China
18 h-index
52 publications
3.2K citations

Zhejiang University
Hangzhou, China
17 h-index
81 publications
5.5K citations

University of Electronic Science and Technology of China
Chengdu, China
17 h-index
44 publications
2.7K citations
University of Technology Sydney
Sydney, Australia
16 h-index
48 publications
2.3K citations
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TKDE · 30 publications · 3.9K citations
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43 publications · 1.3K citations
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Repository · 39 publications · 7.6K citations
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24 publications · 664 citations
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