Web Personalization

Web Personalization is a web analytics methodology that dynamically tailors content, layout, and functionality of a website to individual users based on their behavioral, demographic, or contextual data, distinguishing it from static or generalized web content delivery.

1.1K

Publications

67.7K

Citations

2.7K

Authors

812

Institutions

Publications per year

2017–2026

126

Authors

2.7K

  1. BM
    Bamshad Mobasher

    DePaul University, United States

    15 publications · 3K citations

    15

    h-index

  2. NH
    Nicola Henze

    Leibniz University Hannover, Germany

    10 publications · 377 citations

    10

    h-index

  3. JT
    Jaime Teevan

    Microsoft (United States), United States

    9 publications · 1.3K citations

    9

    h-index

  4. SY
    Shuk Ying Ho

    Australian National University, Australia

    9 publications · 1.7K citations

    9

    h-index

  5. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    9 publications · 2.2K citations

    9

    h-index

1–5 of 2.7K

Venues

  1. Expert Systems with Applications

    15 publications · 1.4K citations

    14

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 1K citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 373 citations

    10

    h-index

  4. Computers in Human Behavior

    9 publications · 1.4K citations

    9

    h-index

  5. Communications of the ACM

    9 publications · 2.2K citations

    9

    h-index

1–5