Ontology highlight
ABSTRACT:
SUBMITTER: Nie DC
PROVIDER: S-EPMC4086959 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Nie Da-Cheng DC Zhang Zi-Ke ZK Zhou Jun-Lin JL Fu Yan Y Zhang Kui K
PloS one 20140708 7
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation cover ...[more]