Multi-relational Recommendation
Multi-Relational Recommendation is a recommendation framework that extends traditional collaborative filtering by modeling multiple types of relations among users and items, enabling the integration of heterogeneous interactions beyond simple user-item ratings or preferences.
29
Publications
1.4K
Citations
109
Authors
41
Institutions
Publications per year
2017–2026
18
Parents
29
Graph Heterogeneous Multi-Relational Recommendation
Chong Chen, Weizhi Ma, Min Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 194 citations · Full text
Computing, Data Science, Data Mining +13
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École Polytechnique Fédérale de Lausanne, Switzerland
2 publications · 55 citations
2
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2
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1–5 of 109
41
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
7 publications
406 citations

Lehigh University
Bethlehem, United States
2 h-index
6 publications
84 citations

DePaul University
Chicago, United States
2 h-index
6 publications
75 citations

Hunan University of Science and Technology
Xiangtan, China
2 h-index
9 publications
636 citations
Tsinghua University
Beijing, China
2 h-index
7 publications
1.2K citations

Taibah University
Medina, Saudi Arabia
2 h-index
2 publications
135 citations
University of Hildesheim
Hildesheim, Germany
2 h-index
7 publications
814 citations
University of Virginia
Charlottesville, United States
1 h-index
5 publications
135 citations
1–8 of 41
3 publications · 96 citations
3
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TKDE · 2 publications · 125 citations
2
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TOMCCAP · 1 publications · 19 citations
1
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Conference · 1 publications · 15 citations
1
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Repository · 1 publications · 34 citations
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