Algorithmic Recommendation Use

Algorithmic Recommendation Use is a theoretical construct within the study of Audience Consumption that denotes the systematic process by which users engage with content filtering systems that personalize content delivery based on data-driven algorithms.

61

Publications

5.2K

Citations

161

Authors

102

Institutions

Publications per year

2017–2026

52

Authors

161

  1. DJ
    Dietmar Jannach

    University of Klagenfurt, Austria

    4 publications · 277 citations

    4

    h-index

  2. SB
    Sachin Banker

    University of Utah, United States

    2 publications · 124 citations

    2

    h-index

  3. CL
    Chunxiao Li

    Education University of Hong Kong, Hong Kong SAR China

    2 publications · 106 citations

    2

    h-index

  4. SK
    Salil Khetani

    University of Utah, United States

    2 publications · 124 citations

    2

    h-index

  5. SM
    Srivatsa Maddodi

    T A Pai Management Institute, India

    2 publications · 40 citations

    2

    h-index

1–5 of 161

Venues

  1. 3

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 100 citations

    3

    h-index

  3. First Monday

    2 publications · 51 citations

    2

    h-index

  4. Digital Journalism

    2 publications · 47 citations

    2

    h-index

  5. User Modeling and User-Adapted Interaction

    2 publications · 72 citations

    2

    h-index

1–5