Recommendation Algorithms For Experts

Recommendation Algorithms for Experts is a computational method that identifies and ranks domain specialists by analyzing expertise-related evidence within academic or professional corpora, distinguished from general recommendation techniques by its focus on inferring specialized knowledge, credibility, and intellectual contributions rather than user preferences or item affinities.

47

Publications

1.3K

Citations

167

Authors

65

Institutions

Publications per year

2017–2026

19

Authors

167

  1. BY
    Baoguo Yang

    University of York, United Kingdom

    2 publications · 68 citations

    2

    h-index

  2. JY
    Juan Yang

    Central China Normal University, China

    2 publications · 27 citations

    2

    h-index

  3. CL
    C. Lee Giles

    Pennsylvania State University, United States

    2 publications · 46 citations

    2

    h-index

  4. SP
    Shuang Peng

    National University of Defense Technology, China

    2 publications · 27 citations

    2

    h-index

  5. HC
    Hung‐Hsuan Chen

    Pennsylvania State University, United States

    2 publications · 46 citations

    2

    h-index

1–5 of 167

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 36 citations

    2

    h-index

  2. Advances in Social Networks Analysis and Mining

    Conference · 2 publications · 43 citations

    2

    h-index

  3. Applied Intelligence

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5