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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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Detalhes bibliográficos
Main Authors: Nie, Da-Cheng, Zhang, Zi-Ke, Dong, Qiang, Sun, Chongjing, Fu, Yan
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4132410/
https://ncbi.nlm.nih.gov/pubmed/25147867
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/829137
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