Predictive Personalization

Predictive Personalization is a personalization strategy that employs predictive modeling to anticipate individual user preferences or behaviors based on historical data, distinguishing itself from rule-based or reactive approaches by proactively tailoring experiences through data-driven forecasts.

29

Publications

1.3K

Citations

97

Authors

48

Institutions

Publications per year

2017–2026

10

Authors

97

  1. AN
    Anton Nijholt

    University of Twente, Netherlands

    2 publications · 49 citations

    2

    h-index

  2. MV
    Mettina Veenstra

    Novay, Netherlands

    2 publications · 49 citations

    2

    h-index

  3. KM
    Kyle McKenzie

    Dalhousie University, Canada

    1 publications · 23 citations

    1

    h-index

  4. BT
    Ben Tan

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

    1 publications · 16 citations

    1

    h-index

  5. ZZ
    Zhaoyang Zeng

    Sun Yat-sen University, China

    1 publications · 29 citations

    1

    h-index

1–5 of 97

Venues

  1. University of Twente Research Information

    Repository · 2 publications · 49 citations

    2

    h-index

  2. International Data Privacy Law

    IDPL · 1 publications · 65 citations

    1

    h-index

  3. The Prostate

    1 publications · 23 citations

    1

    h-index

  4. 1

    h-index

  5. Online Information Review

    1 publications · 26 citations

    1

    h-index

1–5