Semantic Recommendation
Semantic Recommendation is a knowledge-based recommendation approach that leverages structured semantic knowledge to enhance item or content understanding and user preference modeling through explicit representation of meaning and contextual relationships.
344
Publications
14K
Citations
1K
Authors
397
Institutions
Publications per year
2017–2026
132
344
Recurrent knowledge graph embedding for effective recommendation
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian et al. · 2020 · 315 citations
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks
Chuan Shi, Zhiqiang Zhang, Ping Luo et al. · 2015 · 299 citations
1–5 of 344
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397

Universidade de Vigo
Vigo, Spain
11 h-index
56 publications
1.6K citations
University of Technology Sydney
Sydney, Australia
10 h-index
34 publications
2.1K citations

Beijing University of Posts and Telecommunications
Beijing, China
8 h-index
23 publications
1.6K citations

Bangalore University
Bengaluru, India
7 h-index
10 publications
329 citations
University of Bari Aldo Moro
Bari, Italy
7 h-index
30 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
524 citations
Centre for Quantum Computation and Communication Technology
Sydney, Australia
5 h-index
15 publications
1.4K citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
19 publications
995 citations
1–8 of 397
19 publications · 1K citations
18
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Repository · 5 publications · 64 citations
5
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4 publications · 253 citations
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4 publications · 144 citations
4
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3 publications · 64 citations
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