Source Domain Selection

Source Domain Selection is the process of identifying and choosing a domain with abundant labeled data that shares transferable knowledge or relational structure with the target domain, enabling effective cross-domain recommendation through transfer learning.

62

Publications

3K

Citations

237

Authors

109

Institutions

Publications per year

2017–2026

41

Authors

237

  1. VJ
    Vernon J. Lawhern

    DEVCOM Army Research Laboratory, United States

    3 publications · 183 citations

    3

    h-index

  2. MH
    Meiyu Huang

    Institute of Chemistry, China

    3 publications · 241 citations

    3

    h-index

  3. YC
    Yiqiang Chen

    Institute of Computing Technology, China

    3 publications · 241 citations

    3

    h-index

  4. BJ
    Brent J. Lance

    DEVCOM Army Research Laboratory, United States

    3 publications · 183 citations

    3

    h-index

  5. DW
    Dongrui Wu

    Huazhong University of Science and Technology, China

    3 publications · 183 citations

    3

    h-index

1–5 of 237

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 60 citations

    3

    h-index

  2. Metaphor and Symbol

    3 publications · 138 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 58 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Fuzzy Systems

    TFS · 2 publications · 198 citations

    2

    h-index

1–5