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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...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4488376/ https://ncbi.nlm.nih.gov/pubmed/26125631 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0129459 |
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