Personalization Measurement

Personalization Measurement is a scholarly contribution that constitutes a method, model, framework, theory, construct, dataset, task, or metric specifically designed to quantify, evaluate, or assess the effectiveness, accuracy, or impact of personalization strategies within data-driven systems.

25

Publications

2K

Citations

74

Authors

40

Institutions

Publications per year

2017–2026

8

Authors

74

  1. MK
    Maurits Kaptein

    Eindhoven University of Technology, Netherlands

    2 publications · 127 citations

    2

    h-index

  2. SS
    Sumit Sarkar

    The University of Texas at Dallas, United States

    2 publications · 395 citations

    2

    h-index

  3. BP
    B. P. S. Murthi

    The University of Texas at Dallas, United States

    2 publications · 395 citations

    2

    h-index

  4. SW
    Shanshan Wu

    Capital Medical University, China

    1 publications · 13 citations

    1

    h-index

  5. TL
    Tian Li

    Kyoto University, Japan

    1 publications · 13 citations

    1

    h-index

1–5 of 74

Venues

  1. Personal and Ubiquitous Computing

    1 publications · 55 citations

    1

    h-index

  2. Political Behavior

    1 publications · 32 citations

    1

    h-index

  3. Scientometrics

    1 publications · 12 citations

    1

    h-index

  4. Party Politics

    1 publications · 44 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 19 citations

    1

    h-index

1–5