AUI&GIV: Recommendation with Asymmetric User Influence and Global Importance Value

The user-based collaborative filtering (CF) algorithm is one of the most popular approaches for making recommendation. Despite its success, the traditional user-based CF algorithm suffers one serious problem that it only measures the influence between two users based on their symmetric similarities...

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Detalles Bibliográficos
Autores principales: Zhao, Zhi-Lin, Wang, Chang-Dong, Lai, Jian-Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734715/
https://www.ncbi.nlm.nih.gov/pubmed/26828803
http://dx.doi.org/10.1371/journal.pone.0147944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734715/
https://www.ncbi.nlm.nih.gov/pubmed/26828803
http://dx.doi.org/10.1371/journal.pone.0147944

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