Context-aware Sequential Recommendation
Context-Aware Sequential Recommendation is a sequential recommendation approach that incorporates situational, environmental, or user-state information—such as time, location, device, or social context—into the modeling of user behavior sequences to improve the accuracy and personalization of next-item predictions.
40
Publications
2.8K
Citations
149
Authors
75
Institutions
Publications per year
2017–2026
35
Parents
40
1–5 of 40
149
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75
Wuhan University
Wuhan, China
3 h-index
8 publications
363 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
710 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
8 publications
470 citations

Renmin University of China
Beijing, China
3 h-index
10 publications
965 citations

Beijing Institute of Technology
Beijing, China
2 h-index
3 publications
366 citations

The University of Queensland
Brisbane, Australia
2 h-index
2 publications
619 citations
Islamic Azad University Central Tehran Branch
Tehran, Iran
2 h-index
2 publications
114 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
8 publications
416 citations
1–8 of 75
4 publications · 221 citations
4
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Conference · 3 publications · 372 citations
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Conference · 2 publications · 121 citations
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Conference · 1 publications · 15 citations
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1 publications · 16 citations
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1–5