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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| 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 |