Demographic Recommendation

Demographic Recommendation is a recommendation approach that personalizes user suggestions by incorporating demographic attributes—such as age, gender, occupation, or location—as the primary differentiating factor within the broader category of content-based or collaborative filtering methods.

15

Publications

914

Citations

48

Authors

25

Institutions

Publications per year

2017–2026

5

Variants

Demographic-based Recommendation

Authors

48

  1. UW
    Udi Weinsberg

    Tel Aviv University, Israel

    1 publications · 174 citations

    1

    h-index

  2. SO
    Soyoung Oh

    Sungkyunkwan University, South Korea

    1 publications · 25 citations

    1

    h-index

  3. SE
    Sven Ewan Shepstone

    Aalborg University, Denmark

    1 publications · 19 citations

    1

    h-index

  4. WX
    Wayne Xin Zhao

    Renmin University of China, China

    1 publications · 78 citations

    1

    h-index

  5. JW
    Ji-Rong Wen

    Renmin University of China, China

    1 publications · 78 citations

    1

    h-index

1–5 of 48

Venues

  1. Expert Systems with Applications

    2 publications · 65 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Education and Information Technologies

    1 publications · 37 citations

    1

    h-index

  5. Simulation Modelling Practice and Theory

    1 publications · 55 citations

    1

    h-index

1–5