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Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems
In recent years, recommender systems have become an effective method to process information overload. However, recommendation technology still suffers from many problems. One of the problems is shilling attacks-attackers inject spam user profiles to disturb the list of recommendation items. There ar...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534203/ https://www.ncbi.nlm.nih.gov/pubmed/26267477 http://dx.doi.org/10.1371/journal.pone.0135155 |