Service Personalization Analytics

Service Personalization Analytics is a methodological framework within retail service analytics that systematically analyzes customer data to generate individualized service recommendations, distinguished by its focus on adaptive learning models that dynamically refine personalization strategies based on real-time behavioral and contextual inputs.

20

Publications

840

Citations

62

Authors

29

Institutions

Publications per year

2017–2026

12

Authors

62

  1. RG
    Roxana Geambasu

    Columbia University, United States

    2 publications · 103 citations

    2

    h-index

  2. RS
    Riley Spahn

    Columbia University, United States

    2 publications · 103 citations

    2

    h-index

  3. FL
    Francis Lan

    Columbia University, United States

    2 publications · 103 citations

    2

    h-index

  4. GD
    Guillaume Ducoffe

    National Institute for Research and Development in Informatics - ICI Bucharest, Romania

    2 publications · 103 citations

    2

    h-index

  5. ML
    Mathias Lécuyer

    Columbia University, United States

    2 publications · 103 citations

    2

    h-index

1–5 of 62

Venues

  1. Expert Systems with Applications

    2 publications · 81 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 103 citations

    2

    h-index

  3. Journal of Retailing and Consumer Services

    1 publications · 71 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5