Dynamic Preference Modeling

Dynamic Preference Modeling is a computational framework within context-aware recommendation that captures and adapts user preferences over time by integrating temporal dynamics and contextual influences to model how preference structures evolve.

87

Publications

5.9K

Citations

280

Authors

137

Institutions

Publications per year

2017–2026

54

Authors

280

  1. DR
    Dimitrios Rafailidis

    Aristotle University of Thessaloniki, Greece

    3 publications · 148 citations

    3

    h-index

  2. KB
    Kyle B. Murray

    University of Alberta, Canada

    2 publications · 180 citations

    2

    h-index

  3. GH
    Gerald Häubl

    University of Alberta, Canada

    2 publications · 180 citations

    2

    h-index

  4. PW
    Peizhi Wu

    Nankai University, China

    2 publications · 25 citations

    2

    h-index

  5. ZY
    Zhenglu Yang

    Nankai University, China

    2 publications · 25 citations

    2

    h-index

1–5 of 280

Venues

  1. Expert Systems with Applications

    3 publications · 119 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 88 citations

    3

    h-index

  3. Decision Support Systems

    2 publications · 31 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 41 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 98 citations

    2

    h-index

1–5