Sequential Cross-domain Recommendation
Sequential Cross-Domain Recommendation is a cross-domain recommendation paradigm that leverages sequential user behavior patterns across domains to model dynamic preference transitions and improve recommendation accuracy by capturing temporal dependencies in user-item interactions.
23
Publications
1K
Citations
87
Authors
25
Institutions
Publications per year
2017–2026
23
Variants
Scdr
Parents
23
Muyang Ma, Pengjie Ren, Yujie Lin et al. · 2019 · 113 citations
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25

Shandong Normal University
Jinan, China
5 h-index
14 publications
791 citations

The University of Queensland
Brisbane, Australia
4 h-index
8 publications
456 citations

Zhejiang University
Hangzhou, China
4 h-index
12 publications
623 citations
Shandong University
Jinan, China
4 h-index
19 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
467 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
4 publications
337 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
171 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
6 publications
126 citations
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TKDE · 2 publications · 112 citations
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h-index
1 publications · 14 citations
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Conference · 1 publications · 69 citations
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Conference · 1 publications · 99 citations
1
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1 publications · 55 citations
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