Long-term Preference Modeling

Long-Term Preference Modeling is a recommendation framework that captures users' stable and evolving behavioral patterns over extended time horizons to distinguish enduring interests from transient interactions in sequential recommendation systems.

70

Publications

6.5K

Citations

264

Authors

110

Institutions

Publications per year

2017–2026

55

Authors

264

  1. XX
    Xing Xie

    Microsoft Research Asia (China), China

    3 publications · 601 citations

    3

    h-index

  2. GX
    Guandong Xu

    University of Technology Sydney, Australia

    2 publications · 390 citations

    2

    h-index

  3. DJ
    Dietmar Jannach

    University of Klagenfurt, Austria

    2 publications · 143 citations

    2

    h-index

  4. WN
    Wilfred Ng

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 165 citations

    2

    h-index

  5. FC
    Fei Cai

    National University of Defense Technology, China

    2 publications · 103 citations

    2

    h-index

1–5 of 264

Venues

  1. IEEE Access

    6 publications · 146 citations

    6

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 251 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 452 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 42 citations

    2

    h-index

1–5