Context-aware Group Recommendation

Context-Aware Group Recommendation is a group recommendation approach that incorporates situational, environmental, or temporal contextual information—such as location, time, or device—to dynamically influence recommendation outcomes for groups of users.

33

Publications

1.2K

Citations

108

Authors

50

Institutions

Publications per year

2017–2026

15

Authors

108

  1. JN
    Julia Neidhardt

    TU Wien, Austria

    3 publications · 43 citations

    3

    h-index

  2. AS
    Alan Said

    Technische Universität Berlin, Germany

    2 publications · 70 citations

    2

    h-index

  3. EW
    Ernesto William De Luca

    Technische Universität Berlin, Germany

    2 publications · 70 citations

    2

    h-index

  4. TK
    Tsvi Kuflik

    University of Haifa, Israel

    2 publications · 28 citations

    2

    h-index

  5. DR
    Daniel R. Fesenmaier

    Temple University, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 108

Venues

  1. Knowledge-Based Systems

    2 publications · 46 citations

    2

    h-index

  2. Journal of Intelligent Information Systems

    2 publications · 242 citations

    2

    h-index

  3. Procedia Computer Science

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. Pattern Recognition

    1 publications · 24 citations

    1

    h-index

1–5