Cross-domain Sequential Recommendation

Cross-Domain Sequential Recommendation is a sequential recommendation framework that leverages sequential user behavior from one domain to improve recommendation accuracy in another domain by transferring knowledge across domains with distinct item spaces.

21

Publications

1.4K

Citations

91

Authors

32

Institutions

Publications per year

2017–2026

21

Authors

91

  1. LG
    Lei Guo

    Shandong Normal University, China

    4 publications · 228 citations

    4

    h-index

  2. HY
    Hongzhi Yin

    The University of Queensland, Australia

    4 publications · 228 citations

    4

    h-index

  3. TC
    Tong Chen

    The University of Queensland, Australia

    4 publications · 228 citations

    4

    h-index

  4. PR
    Pengjie Ren

    Shandong University, China

    3 publications · 224 citations

    3

    h-index

  5. MM
    Muyang Ma

    Shandong University, China

    3 publications · 224 citations

    3

    h-index

1–5 of 91

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 112 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

  3. Proceedings of the 30th ACM International Conference on Multimedia

    Conference · 1 publications · 60 citations

    1

    h-index

  4. Journal of Computer Science and Technology

    1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5