Sequential User Behavior Modeling

Sequential User Behavior Modeling is a computational framework that captures the temporal progression of user interactions within a funnel by representing each stage as a sequence of dependent actions, distinguishing it from static or aggregate behavioral models through its focus on order, timing, and transitional patterns in user journeys.

92

Publications

12.1K

Citations

344

Authors

121

Institutions

Publications per year

2017–2026

71

Authors

344

  1. JM
    Julian McAuley

    University of California San Diego, United States

    5 publications · 1.4K citations

    5

    h-index

  2. FS
    Fei Sun

    Alibaba Group (China), China

    4 publications · 275 citations

    4

    h-index

  3. RH
    Ruining He

    University of California San Diego, United States

    4 publications · 1.3K citations

    4

    h-index

  4. PR
    Pengjie Ren

    Shandong University, China

    4 publications · 1.6K citations

    4

    h-index

  5. FL
    Fuyu Lv

    Alibaba Group (China), China

    4 publications · 325 citations

    4

    h-index

1–5 of 344

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 264 citations

    7

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 210 citations

    4

    h-index

  3. ACM Transactions on Information Systems

    4 publications · 129 citations

    4

    h-index

  4. 3

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 296 citations

    2

    h-index

1–5