Information Filtering via Biased Random Walk on Coupled Social Network

The recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users' purchase process. In th...

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Detalles Bibliográficos
Autores principales: Nie, Da-Cheng, Zhang, Zi-Ke, Dong, Qiang, Sun, Chongjing, Fu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132410/
https://www.ncbi.nlm.nih.gov/pubmed/25147867
http://dx.doi.org/10.1155/2014/829137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132410/
https://www.ncbi.nlm.nih.gov/pubmed/25147867
http://dx.doi.org/10.1155/2014/829137

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