Recommendation Profile Modeling

Recommendation Profile Modeling is a computational framework that systematically constructs and refines user profiles by integrating behavioral, contextual, and preference data to generate personalized recommendations through predictive modeling techniques.

16

Publications

2.6K

Citations

50

Authors

24

Institutions

Publications per year

2017–2026

8

Authors

50

  1. PL
    Pasquale Lops

    University of Bari Aldo Moro, Italy

    1 publications · 10 citations

    1

    h-index

  2. KJ
    Kyung Jin

    Kangwon National University, South Korea

    1 publications · 246 citations

    1

    h-index

  3. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    1 publications · 17 citations

    1

    h-index

  4. YS
    Yang Sok Kim

    Keimyung University, South Korea

    1 publications · 246 citations

    1

    h-index

  5. LC
    Luiz Carlos Pereira Bin

    Hospital Ortopédico de Passo Fundo, Brazil

    1 publications · 47 citations

    1

    h-index

1–5 of 50

Venues

  1. IEEE Access

    2 publications · 68 citations

    2

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 2 publications · 33 citations

    2

    h-index

  3. 1

    h-index

  4. BT Technology Journal

    1 publications · 172 citations

    1

    h-index

  5. Electronic Commerce Research and Applications

    1 publications · 246 citations

    1

    h-index

1–5