Interaction Sparsity
Interaction Sparsity is an interaction feature characterized by a limited density of observable or meaningful interactions within a system, dataset, or network, where the paucity of connections or engagements distinguishes it from denser interaction patterns in the same domain.
30
Publications
1.5K
Citations
130
Authors
63
Institutions
Publications per year
2017–2026
21
Parents
30
Category-aware Collaborative Sequential Recommendation
Renqin Cai, Jibang Wu, Aidan San et al. · 2021 · 75 citations
1–5 of 30
130
The University of Texas Southwestern Medical Center, United States
2 publications · 198 citations
2
h-index
2
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2
h-index
2
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 52 citations
2
h-index
1–5 of 130
63

Shenzhen University
Shenzhen, China
2 h-index
7 publications
150 citations

Zhejiang University
Hangzhou, China
2 h-index
8 publications
1.4K citations
University of Virginia
Charlottesville, United States
2 h-index
5 publications
347 citations
Columbia University
New York, United States
1 h-index
2 publications
70 citations

Xidian University
Xi'an, China
1 h-index
3 publications
69 citations
Visa (United States)
Foster City, United States
1 h-index
4 publications
396 citations

University of Electronic Science and Technology of China
Chengdu, China
1 h-index
3 publications
216 citations
Florida State University
Tallahassee, United States
1 h-index
1 publications
25 citations
1–8 of 63
2 publications · 432 citations
2
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Conference · 2 publications · 83 citations
2
h-index
1 publications · 42 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 18 citations
1
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1–5