Multi-interest Modeling

Multi-Interest Modeling is a recommendation modeling approach that captures a user’s diverse and potentially time-varying interests within a unified representation framework by disentangling multiple distinct preference vectors from sequential interaction data.

46

Publications

2.4K

Citations

207

Authors

68

Institutions

Publications per year

2017–2026

36

Authors

207

  1. CL
    Chenliang Li

    Wuhan University, China

    3 publications · 71 citations

    3

    h-index

  2. LL
    Lu Liu

    University of Derby, United Kingdom

    3 publications · 251 citations

    3

    h-index

  3. PH
    Pipei Huang

    Alibaba Group (China), China

    2 publications · 405 citations

    2

    h-index

  4. YL
    Yu Li

    System Equipment (China), China

    2 publications · 28 citations

    2

    h-index

  5. YC
    Yukuo Cen

    Tsinghua University, China

    2 publications · 324 citations

    2

    h-index

1–5 of 207

Venues

  1. ACM Transactions on Information Systems

    3 publications · 211 citations

    3

    h-index

  2. Expert Systems with Applications

    3 publications · 256 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 89 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 47 citations

    3

    h-index

  5. 2

    h-index

1–5