Knowledge-aware Recommendation
Knowledge-Aware Recommendation is a recommendation framework that incorporates structured knowledge graphs to enhance recommendation accuracy by exploiting semantic relationships and auxiliary information beyond user-item interactions.
495
Publications
26.2K
Citations
1.8K
Authors
524
Institutions
Publications per year
2017–2026
388
Variants
Knowledge Graph-based RecommendationKnowledge Graph-enhanced Recommendation
495
Collaborative Knowledge Base Embedding for Recommender Systems
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian et al. · 2016 · 1.8K citations
Hongwei Wang, Fuzheng Zhang, Xing Xie et al. · 2018 · 1K citations · Full text
Knowledge-based recommender systems
Robin Burke · 2000 · 756 citations
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Tsinghua University
Beijing, China
14 h-index
16 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
15 publications
727 citations

Renmin University of China
Beijing, China
11 h-index
12 publications
1.3K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
13 publications
2K citations
University of Science and Technology of China
Hefei, China
11 h-index
11 publications
674 citations

Zhejiang University
Hangzhou, China
11 h-index
11 publications
416 citations
University of Klagenfurt
Klagenfurt, Austria
11 h-index
11 publications
657 citations
Microsoft Research Asia (China)
Beijing, China
11 h-index
12 publications
3.5K citations
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32 publications · 1.4K citations
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32 publications · 1.2K citations
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Repository · 15 publications · 543 citations
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TKDE · 14 publications · 703 citations
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13 publications · 468 citations
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