Personalization Engines

Personalization Engines is a computational framework within service automation systems that enables adaptive customization of services by leveraging user data and behavioral analytics to dynamically tailor interactions, content, and functionality to individual user preferences and contexts.

35

Publications

1.5K

Citations

149

Authors

42

Institutions

Publications per year

2017–2026

2

Authors

149

  1. NH
    Nicola Henze

    Leibniz University Hannover, Germany

    3 publications · 59 citations

    3

    h-index

  2. KW
    Kenneth Wai-Ting Leung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 10 citations

    1

    h-index

  3. TD
    Travis Dick

    Carnegie Mellon University, United States

    1 publications · 17 citations

    1

    h-index

  4. MÁ
    Miguel Ángel Corella

    Universidad Autónoma de Madrid, Spain

    1 publications · 14 citations

    1

    h-index

  5. DC
    David C. Wilson

    University of North Carolina at Charlotte, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 149

Venues

  1. Plant Disease

    1 publications · 150 citations

    1

    h-index

  2. Expert Systems with Applications

    1 publications · 14 citations

    1

    h-index

  3. IEEE Transactions on Multimedia

    1 publications · 83 citations

    1

    h-index

  4. ACM Transactions on Internet Technology

    TOIT · 1 publications · 58 citations

    1

    h-index

  5. Electronic Commerce Research

    1 publications · 27 citations

    1

    h-index

1–5