Metadata-based Recommendation
Metadata-Based Recommendation is a type of content-based recommendation approach that utilizes descriptive metadata associated with items to generate personalized suggestions by distinguishing item characteristics through structured attributes rather than raw content.
38
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1.4K
Citations
125
Authors
57
Institutions
Publications per year
2017–2026
13
Parents
38
Jovian Lin, Kazunari Sugiyama, Min‐Yen Kan et al. · 2014 · 64 citations
The Benefit of Using Tag-Based Profiles
Claudiu S. Firan, Wolfgang Nejdl, Raluca Paiu · 2007 · 56 citations
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57
Universidade de São Paulo
São Paulo, Brazil
3 h-index
6 publications
100 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
48 citations
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
2 publications
37 citations

Bayero University Kano
Kano, Nigeria
2 h-index
5 publications
97 citations
L3S Research Center
Hanover, Germany
2 h-index
9 publications
276 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
47 citations
Stanford University
Stanford, United States
2 h-index
8 publications
185 citations
Brazilian Society of Computational and Applied Mathematics
São Carlos, Brazil
1 h-index
2 publications
36 citations
1–8 of 57
3 publications · 113 citations
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Conference · 1 publications · 18 citations
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1 publications · 17 citations
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1 publications · 25 citations
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1 publications · 20 citations
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