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Information Filtering via Heterogeneous Diffusion in Online Bipartite Networks
The rapid expansion of Internet brings us overwhelming online information, which is impossible for an individual to go through all of it. Therefore, recommender systems were created to help people dig through this abundance of information. In networks composed by users and objects, recommender algor...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488376/ https://www.ncbi.nlm.nih.gov/pubmed/26125631 http://dx.doi.org/10.1371/journal.pone.0129459 |