Usage-behavior Clustering
Usage-Behavior Clustering is a computational method that groups users into distinct segments based on observed patterns of product or service engagement, distinguished by its reliance on empirical usage data to identify behaviorally homogeneous subpopulations.
84
Publications
4.1K
Citations
266
Authors
113
Institutions
Publications per year
2017–2026
29
Parents
84
Hossein Falaki, Ratul Mahajan, Srikanth Kandula et al. · 2010 · 842 citations
Discovering different kinds of smartphone users through their application usage behaviors
Sha Zhao, Julián Ramos, Jianrong Tao et al. · 2016 · 140 citations
1–5 of 84
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The University of Texas at Austin, United States
2 publications · 195 citations
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1–5 of 266
113

Utah State University
Logan, United States
2 h-index
7 publications
131 citations

Universidade da Coruña
A Coruña, Spain
2 h-index
5 publications
116 citations

Zhejiang University
Hangzhou, China
2 h-index
7 publications
876 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
336 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
248 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
195 citations

Polytechnique Montréal
Montreal, Canada
2 h-index
8 publications
326 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
390 citations
1–8 of 113
3 publications · 205 citations
3
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2 publications · 164 citations
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TRPRO · 2 publications · 50 citations
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2 publications · 55 citations
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2 publications · 64 citations
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