Graph-based Expertise Recommendation

Graph-Based Expertise Recommendation is a methodological framework within expertise recommendation that leverages graph structures to model relationships among entities such as individuals, skills, and documents, distinguishing itself by utilizing relational topology and graph-based algorithms to infer and recommend expert knowledge.

4

Publications

245

Citations

13

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

13

  1. CL
    C. Lee Giles

    Pennsylvania State University, United States

    1 publications · 30 citations

    1

    h-index

  2. TS
    Torsten Suel

    New York University, United States

    1 publications · 69 citations

    1

    h-index

  3. PM
    Prasenjit Mitra

    Pennsylvania State University, United States

    1 publications · 30 citations

    1

    h-index

  4. JM
    Javier M. Buldú

    Universidad Rey Juan Carlos, Spain

    1 publications · 117 citations

    1

    h-index

  5. SD
    Sujatha Das Gollapalli

    Pennsylvania State University, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 13

Venues

  1. Expert Systems with Applications

    1 publications · 29 citations

    1

    h-index

  2. 1

    h-index

1–2