Personalized Session Recommendation

Personalized Session Recommendation is a session-based recommendation approach that uniquely incorporates user-specific historical behavior patterns to tailor item suggestions within a dynamically modeled short-term session context.

64

Publications

2.2K

Citations

230

Authors

97

Institutions

Publications per year

2017–2026

60

Authors

230

  1. ZZ
    Zizhuo Zhang

    Huazhong University of Science and Technology, China

    3 publications · 59 citations

    3

    h-index

  2. DJ
    Dietmar Jannach

    University of Klagenfurt, Austria

    3 publications · 528 citations

    3

    h-index

  3. ML
    Malte Ludewig

    TU Dortmund University, Germany

    3 publications · 528 citations

    3

    h-index

  4. BW
    Bang Wang

    Huazhong University of Science and Technology, China

    3 publications · 59 citations

    3

    h-index

  5. YW
    Yan Wang

    Macquarie University, Australia

    2 publications · 56 citations

    2

    h-index

1–5 of 230

Venues

  1. Knowledge-Based Systems

    10 publications · 261 citations

    10

    h-index

  2. Neurocomputing

    10 publications · 265 citations

    10

    h-index

  3. Expert Systems with Applications

    6 publications · 155 citations

    6

    h-index

  4. Information Processing & Management

    4 publications · 120 citations

    4

    h-index

  5. Applied Soft Computing

    3 publications · 59 citations

    3

    h-index

1–5