User Preference Transfer
User Preference Transfer is a cross-domain recommendation technique that enables the adaptation of user preference knowledge from a source domain to a target domain by identifying and transferring invariant behavioral patterns across domains.
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2.2K
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121
Authors
55
Institutions
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2017–2026
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An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
Chong Chen, Min Zhang, Chenyang Wang et al. · 2019 · 162 citations
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University of Technology Sydney
Sydney, Australia
6 h-index
20 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
833 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
17 publications
1.8K citations
Tsinghua University
Beijing, China
4 h-index
13 publications
1.3K citations
Institute of Information Engineering
Beijing, China
4 h-index
15 publications
1.5K citations

Alibaba Group (China)
Hangzhou, China
4 h-index
8 publications
649 citations
New York University
New York, United States
3 h-index
6 publications
272 citations

University Town of Shenzhen
Shenzhen, China
2 h-index
3 publications
97 citations
1–8 of 55
TKDE · 4 publications · 164 citations
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3 publications · 194 citations
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Repository · 2 publications · 28 citations
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2 publications · 64 citations
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Conference · 2 publications · 234 citations
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