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Collaborative Filtering Recommendation on Users’ Interest Sequences
As an important factor for improving recommendations, time information has been introduced to model users’ dynamic preferences in many papers. However, the sequence of users’ behaviour is rarely studied in recommender systems. Due to the users’ unique behavior evolution patterns and personalized int...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873175/ https://www.ncbi.nlm.nih.gov/pubmed/27195787 http://dx.doi.org/10.1371/journal.pone.0155739 |