Side Information Utilization
Side Information Utilization is the systematic integration of auxiliary data beyond user-item interactions—such as user profiles, item attributes, or social relationships—into recommendation models to alleviate data sparsity and enhance predictive accuracy in cold-start scenarios.
369
Publications
23K
Citations
1.1K
Authors
430
Institutions
Publications per year
2017–2026
163
Parents
369
Peng Cui, Xiao Wang, Jian Pei et al. · IEEE Transactions on Knowledge and Data Engineering · 2018 · 1.3K citations
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Hongwei Wang, Fuzheng Zhang, Miao Zhao et al. · 2019 · 551 citations · Full text
Wyner-Ziv coding of motion video
A. Aaron, Rui Zhang, Bernd Girod · 2003 · 513 citations
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430
Michigan State University
East Lansing, United States
11 h-index
28 publications
2K citations
Tsinghua University
Beijing, China
8 h-index
21 publications
4.5K citations
Nanyang Technological University
Singapore, Singapore
8 h-index
15 publications
1.3K citations

University of Minnesota
Minneapolis, United States
7 h-index
15 publications
677 citations
Stanford University
Stanford, United States
7 h-index
15 publications
3.8K citations

Zhejiang University
Hangzhou, China
6 h-index
10 publications
411 citations

City University of Hong Kong
Hong Kong, Hong Kong
6 h-index
9 publications
536 citations
University of Science and Technology of China
Hefei, China
6 h-index
14 publications
843 citations
1–8 of 430
Repository · 22 publications · 620 citations
17
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9 publications · 503 citations
9
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9 publications · 416 citations
9
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9 publications · 308 citations
9
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TKDE · 9 publications · 2.4K citations
9
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