Situation-aware Recommendation

Situation-Aware Recommendation is a type of context-aware recommendation that specifically incorporates dynamic situational factors—such as temporal, spatial, social, or environmental conditions—into the modeling process to adapt recommendations to the user’s current context.

56

Publications

1.6K

Citations

212

Authors

106

Institutions

Publications per year

2017–2026

20

Authors

212

  1. FM
    Francesco Marcelloni

    University of Pisa, Italy

    3 publications · 62 citations

    3

    h-index

  2. BL
    Beatrice Lazzerini

    University of Pisa, Italy

    3 publications · 62 citations

    3

    h-index

  3. MG
    Mario G. C. A. Cimino

    University of Pisa, Italy

    3 publications · 62 citations

    3

    h-index

  4. RB
    Roland Bader

    BMW (Germany), Germany

    2 publications · 109 citations

    2

    h-index

  5. AC
    Alessandro Ciaramella

    IMT School for Advanced Studies Lucca, Italy

    2 publications · 37 citations

    2

    h-index

1–5 of 212

Venues

  1. Electronic Commerce Research

    2 publications · 40 citations

    2

    h-index

  2. Expert Systems with Applications

    2 publications · 148 citations

    2

    h-index

  3. Procedia Manufacturing

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Pervasive and Mobile Computing

    1 publications · 27 citations

    1

    h-index

1–5