Cross-platform Personalization

Cross-Platform Personalization is a methodological framework that enables the consistent adaptation of user experiences across multiple digital platforms by leveraging shared user models and context-aware algorithms to maintain personalized interactions while preserving platform-specific constraints and affordances.

9

Publications

483

Citations

41

Authors

26

Institutions

Publications per year

2017–2026

5

Authors

41

  1. CX
    Changsheng Xu

    Chinese Academy of Sciences, China

    2 publications · 114 citations

    2

    h-index

  2. BB
    Bing‐Kun Bao

    Nanjing University of Posts and Telecommunications, China

    1 publications · 70 citations

    1

    h-index

  3. SC
    Sharath Chandra Guntuku

    University of Pennsylvania, United States

    1 publications · 47 citations

    1

    h-index

  4. XX
    Xing Xie

    Microsoft Research Asia (China), China

    1 publications · 40 citations

    1

    h-index

  5. PV
    Pim van der Eijk

    Stavros Niarchos Foundation, Greece

    1 publications · 10 citations

    1

    h-index

1–5 of 41

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 86 citations

    2

    h-index

  2. Computer Networks

    1 publications · 10 citations

    1

    h-index

  3. PLoS ONE

    1 publications · 47 citations

    1

    h-index

  4. New Media & Society

    1 publications · 17 citations

    1

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 40 citations

    1

    h-index

1–5