Session-based User Modeling

Session-Based User Modeling is a user modeling paradigm that captures and updates user preferences and behaviors within the temporal bounds of a single interaction session, distinguishing it from persistent, long-term modeling approaches by focusing exclusively on transient, session-limited data.

18

Publications

1.4K

Citations

50

Authors

30

Institutions

Publications per year

2017–2026

2

Authors

50

  1. DN
    David N. Chin

    University of Hawaii System, United States

    2 publications · 72 citations

    2

    h-index

  2. MQ
    Massimo Quadrana

    Politecnico di Milano, Italy

    1 publications · 534 citations

    1

    h-index

  3. MF
    Maria Francesca Costabile

    University of Bari Aldo Moro, Italy

    1 publications · 11 citations

    1

    h-index

  4. LH
    Liangjie Hong

    Lehigh University, United States

    1 publications · 21 citations

    1

    h-index

  5. DZ
    Dongxiang Zhang

    University of Electronic Science and Technology of China, China

    1 publications · 141 citations

    1

    h-index

1–5 of 50

Venues

  1. Journal of Visual Languages & Computing

    JVLC · 1 publications · 11 citations

    1

    h-index

  2. ACM SIGCHI Bulletin

    1 publications · 45 citations

    1

    h-index

  3. User Modeling and User-Adapted Interaction

    1 publications · 64 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 108 citations

    1

    h-index

  5. Applied Artificial Intelligence

    AAI · 1 publications · 18 citations

    1

    h-index

1–5