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

Authors

266

  1. BX
    Beijie Xu

    Utah State University, United States

    3 publications · 78 citations

    3

    h-index

  2. RK
    Rajendra K. Srivastava

    The University of Texas at Austin, United States

    2 publications · 195 citations

    2

    h-index

  3. AD
    Allan D. Shocker

    University of Pittsburgh, United States

    2 publications · 195 citations

    2

    h-index

  4. CM
    Catherine Morency

    Polytechnique Montréal, Canada

    2 publications · 70 citations

    2

    h-index

  5. CC
    Cristina Calvo-Porral

    Universidade da Coruña, Spain

    2 publications · 45 citations

    2

    h-index

1–5 of 266

Venues

  1. Computers in Human Behavior

    3 publications · 205 citations

    3

    h-index

  2. Expert Systems with Applications

    2 publications · 164 citations

    2

    h-index

  3. Transportation research procedia

    TRPRO · 2 publications · 50 citations

    2

    h-index

  4. 2

    h-index

  5. Fuzzy Sets and Systems

    2 publications · 64 citations

    2

    h-index

1–5