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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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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2013
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| Предметы: | |
| Online-ссылка: | 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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