Multi-level Usage Segmentation
Multi-Level Usage Segmentation is an analytic framework within usage-based segmentation that classifies users according to hierarchical levels of engagement or consumption behavior, distinguishing itself by integrating multiple granularities of usage intensity, frequency, and context into a unified segmentation structure.
5
Publications
164
Citations
18
Authors
11
Institutions
Publications per year
2017–2026
5
Variants
Multilevel Usage Segmentation
Parents
5
Smartphone customer segmentation based on the usage pattern
Hansi Chen, Lei Zhang, Xuening Chu et al. · Advanced Engineering Informatics · 2019 · 33 citations
Smartphone user segmentation based on app usage sequence with neural networks
Younghoon Lee, In-Beom Park, Sungzoon Cho et al. · Telematics and Informatics · 2017 · 26 citations
Computing, Data Science, Data Mining +14
1–5 of 5
18
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1–5 of 18
11

The University of Texas at El Paso
El Paso, United States
1 h-index
1 publications
23 citations
Seoul National University
Seoul, South Korea
1 h-index
3 publications
78 citations

Aletheia University
Taipei, Taiwan
1 h-index
1 publications
23 citations
National Cheng Kung University
Tainan City, Taiwan
1 h-index
2 publications
46 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
39 citations

Universidad de Granada
Granada, Spain
1 h-index
1 publications
43 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
4 publications
132 citations

Universidad de Málaga
Málaga, Spain
1 h-index
2 publications
86 citations
1–8 of 11
1 publications · 33 citations
1
h-index
1 publications · 39 citations
1
h-index
1 publications · 43 citations
1
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1 publications · 26 citations
1
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1 publications · 23 citations
1
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1–5