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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 p...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2016-01-01
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| Colecção: | PLoS ONE |
| Acesso em linha: | http://europepmc.org/articles/PMC4873175?pdf=render |
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