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
Parents
4
Topology of music recommendation networks
Pedro Cano, Òscar Celma, Markus Koppenberger et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 2006 · 117 citations · Full text
A robust model for paper reviewer assignment
Xiang Liu, Torsten Suel, Nasir Memon · 2014 · 69 citations
1–4 of 4
13
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1–5 of 13
7

Universitat Pompeu Fabra
Barcelona, Spain
1 h-index
3 publications
351 citations
New York University
New York, United States
1 h-index
3 publications
207 citations

Banaras Hindu University
Varanasi, India
1 h-index
2 publications
58 citations
Centre for Policy Research
New Delhi, India
1 h-index
1 publications
29 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
1 publications
117 citations

Pennsylvania State University
State College, United States
1 h-index
2 publications
60 citations
DST Centre for Policy Research
Lucknow, India
1 h-index
1 publications
29 citations
1–7 of 7
1 publications · 29 citations
1
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1 publications · 117 citations
1
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1–2