Event Personalization Systems

Event Personalization Systems is a computational framework that tailors event experiences, content, and interactions to individual participant preferences and behaviors through data-driven adaptation mechanisms within the domain of event technology.

20

Publications

498

Citations

67

Authors

39

Institutions

Publications per year

2017–2026

8

Authors

67

  1. CC
    Chi-Yin Chow

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 38 citations

    2

    h-index

  2. JZ
    Jia-Dong Zhang

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 38 citations

    2

    h-index

  3. PM
    Pratibha Mahajan

    Guru Nanak Dev University, India

    1 publications · 14 citations

    2

    h-index

  4. TJ
    Tunde Joseph Ogundele

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 38 citations

    2

    h-index

  5. PD
    Pankaj Deep Kaur

    Guru Nanak Dev University, India

    1 publications · 14 citations

    2

    h-index

1–5 of 67

Venues

  1. 1

    h-index

  2. International Journal of Data Science and Analytics

    JDSA · 1 publications · 11 citations

    1

    h-index

  3. Applied Intelligence

    1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. Digital Journalism

    1 publications · 32 citations

    1

    h-index

1–5