Privacy-aware Personalization

Privacy-Aware Personalization is a personalization framework that integrates privacy-preserving mechanisms to ensure user data confidentiality and autonomy while enabling tailored experiences based on individual preferences and behaviors.

149

Publications

10.5K

Citations

453

Authors

214

Institutions

Publications per year

2017–2026

58

Authors

453

  1. BP
    Bart P. Knijnenburg

    Clemson University, United States

    9 publications · 322 citations

    9

    h-index

  2. SN
    Suman Nath

    Microsoft (United States), United States

    3 publications · 218 citations

    3

    h-index

  3. AS
    Anna Squicciarini

    Pennsylvania State University, United States

    3 publications · 196 citations

    3

    h-index

  4. RL
    Rui Liu

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  5. WG
    Wenyu Gao

    Guangxi University, China

    3 publications · 72 citations

    3

    h-index

1–5 of 453

Venues

  1. Computers in Human Behavior

    4 publications · 362 citations

    4

    h-index

  2. IEEE Internet Computing

    4 publications · 92 citations

    4

    h-index

  3. Journal of Business Research

    JBR · 3 publications · 162 citations

    3

    h-index

  4. IEEE Transactions on Services Computing

    3 publications · 112 citations

    3

    h-index

  5. Technological Forecasting and Social Change

    2 publications · 42 citations

    2

    h-index

1–5