期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：9
页码：29-38
出版社：SERSC
摘要：In order to improve credibility and precision of the personalized service recommendation, we propose a personalized trusted services recommendation method based on social network. Firstly, according to the similarity of user's preference, the method build new relations combined with direct trust and indirect trust of users between them. Secondly, form a set of similar services which includes services invoked by target users. Eventually, get user’s indirect trustrank to the recommended services through the weighted average of the target users’ indirect trustrank to the recommended service and thus form a recommendation list. The experiment take precision rate, recall rate andF1_Measure as evaluation indexes. Comparing with traditional method which based on no confidence and users’ trusted network, this approach demonstrates its effectiveness and feasibility through the result of the experiment.
关键词：preference similarity; direct trust; a set of similar services; indirect trust
