Information Filtering in Sparse Online Systems: Recommendation via Semi-Local Diffusion

With the rapid growth of the Internet and overwhelming amount of information and choices that people are confronted with, recommender systems have been developed to effectively support users’ decision-making process in the online systems. However, many recommendation algorithms suffer from the data...

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Detalles Bibliográficos
Autores principales: Zeng, Wei, Zeng, An, Shang, Ming-Sheng, Zhang, Yi-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832491/
https://www.ncbi.nlm.nih.gov/pubmed/24260206
http://dx.doi.org/10.1371/journal.pone.0079354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832491/
https://www.ncbi.nlm.nih.gov/pubmed/24260206
http://dx.doi.org/10.1371/journal.pone.0079354

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