User Preference Transfer

User Preference Transfer is a cross-domain recommendation technique that enables the adaptation of user preference knowledge from a source domain to a target domain by identifying and transferring invariant behavioral patterns across domains.

34

Publications

2.2K

Citations

121

Authors

55

Institutions

Publications per year

2017–2026

30

Authors

121

  1. BW
    Bin Wang

    Institute of Information Engineering, China

    4 publications · 367 citations

    4

    h-index

  2. TL
    Tingwen Liu

    Institute of Information Engineering, China

    3 publications · 269 citations

    3

    h-index

  3. JC
    Jiangxia Cao

    Institute of Information Engineering, China

    3 publications · 269 citations

    3

    h-index

  4. QZ
    Qian Zhang

    University of Technology Sydney, Australia

    3 publications · 211 citations

    3

    h-index

  5. AT
    Alexander Tuzhilin

    New York University, United States

    3 publications · 136 citations

    3

    h-index

1–5 of 121

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 164 citations

    4

    h-index

  2. 3

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  3. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  4. ACM Transactions on Information Systems

    2 publications · 64 citations

    2

    h-index

  5. 2

    h-index

1–5