Multilabel user classification using the community structure of online networks

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approx...

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Detalles Bibliográficos
Autores principales: Rizos, Georgios, Papadopoulos, Symeon, Kompatsiaris, Yiannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344401/
https://www.ncbi.nlm.nih.gov/pubmed/28278242
http://dx.doi.org/10.1371/journal.pone.0173347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344401/
https://www.ncbi.nlm.nih.gov/pubmed/28278242
http://dx.doi.org/10.1371/journal.pone.0173347

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