Behavior Sequence Modeling

Behavior Sequence Modeling is a computational framework that captures the temporal dynamics and sequential dependencies in user-item interactions to predict future behaviors within the domain of Sequential Recommendation.

163

Publications

14.6K

Citations

585

Authors

197

Institutions

Publications per year

2017–2026

126

Authors

585

  1. WO
    Wenwu Ou

    Alibaba Group (China), China

    6 publications · 2.8K citations

    6

    h-index

  2. CZ
    Chang Zhou

    Alibaba Group (China), China

    6 publications · 1.8K citations

    6

    h-index

  3. FS
    Fei Sun

    Alibaba Group (China), China

    5 publications · 2.7K citations

    5

    h-index

  4. SW
    Shoujin Wang

    University of Technology Sydney, Australia

    5 publications · 528 citations

    5

    h-index

  5. YF
    Yufei Feng

    Tongji University, China

    4 publications · 395 citations

    4

    h-index

1–5 of 585

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 618 citations

    12

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 407 citations

    7

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 1.7K citations

    6

    h-index

  4. ACM Transactions on Information Systems

    6 publications · 357 citations

    6

    h-index

  5. 4

    h-index

1–5