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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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Detalhes bibliográficos
Main Authors: Zeng, Wei, Zeng, An, Shang, Ming-Sheng, Zhang, Yi-Cheng
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3832491/
https://ncbi.nlm.nih.gov/pubmed/24260206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0079354
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