Behavioral Personalization

Behavioral Personalization is a personalization strategy that tailors content, recommendations, or user experiences based on the analysis of individual users’ past behaviors, such as browsing history, click patterns, purchase activity, or interaction dynamics, distinguishing it from demographic or contextual approaches by focusing on observed actionable data.

45

Publications

2.1K

Citations

135

Authors

67

Institutions

Publications per year

2017–2026

21

Authors

135

  1. DR
    David Rebollo‐Monedero

    Universitat Politècnica de Catalunya, Spain

    2 publications · 23 citations

    2

    h-index

  2. CB
    Cyril Brom

    Charles University, Czechia

    2 publications · 59 citations

    2

    h-index

  3. JF
    Jordi Forné

    Universitat Politècnica de Catalunya, Spain

    2 publications · 23 citations

    2

    h-index

  4. HO
    Harri Oinas‐Kukkonen

    University of Oulu, Finland

    2 publications · 25 citations

    2

    h-index

  5. MK
    Maurits Kaptein

    Eindhoven University of Technology, Netherlands

    2 publications · 324 citations

    2

    h-index

1–5 of 135

Venues

  1. Computers & Education

    3 publications · 112 citations

    3

    h-index

  2. 2

    h-index

  3. Communications of the ACM

    1 publications · 37 citations

    1

    h-index

  4. Experimental and Clinical Psychopharmacology

    1 publications · 53 citations

    1

    h-index

  5. 1

    h-index

1–5