Content-based Personalization

Content-Based Personalization is a personalization approach that tailors content to individual users based on the analysis of their past interactions with items and the intrinsic features of those items, distinguishing itself from other personalization methods by relying solely on item attributes and user-item similarity without incorporating collaborative signals.

77

Publications

3.3K

Citations

224

Authors

98

Institutions

Publications per year

2017–2026

16

Authors

224

  1. CK
    Clare-Marie Karat

    IBM (United States), United States

    2 publications · 48 citations

    2

    h-index

  2. ML
    Martín López‐Nores

    Universidade de Vigo, Spain

    2 publications · 35 citations

    2

    h-index

  3. AK
    Ashish Kapoor

    Microsoft (United States), United States

    2 publications · 65 citations

    2

    h-index

  4. SB
    Sing Bing Kang

    Microsoft (United States), United States

    2 publications · 65 citations

    2

    h-index

  5. JC
    Juan Carlos Caicedo

    Northwestern University, United States

    2 publications · 65 citations

    2

    h-index

1–5 of 224

Venues

  1. Expert Systems with Applications

    4 publications · 139 citations

    4

    h-index

  2. Multimedia Tools and Applications

    2 publications · 74 citations

    2

    h-index

  3. Journal of the Association for Information Systems

    JAIS · 1 publications · 360 citations

    1

    h-index

  4. 1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 20 citations

    1

    h-index

1–5