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Trust Prediction in Online Social Networks

出版	Macquarie University, Faculty of Science and Engineering, Department of Computing, 2015
URL	http://books.google.com.hk/books?id=fd7hjwEACAAJ&hl=&source=gbs_api

註釋Online social networks (OSNs) have become an integral part of daily life in recent years. They have been used as a means for a rich variety of activities, such as seeking service providers or recommendations. In these activities, trust is one of the most important factors for participants' decision-making process. Therefore, it is necessary and significant to predict the trust between two participants who have no direct interactions. My thesis aims to provide effective and efficient trust prediction approaches to evaluate trust values, which are introduced from the following four aspects. The first aspect of the work is to study the factors that affect trust in OSNs and solve the trust network extraction problem. The second aspect of the work is to address the trust prediction problem in the trust network without any contextual information. The third aspect of the work is to study the trust prediction problem in OSNs with social contextual information. The fourth aspect of the work is to study the dynamic trust to online service providers to assist the decision-making regarding a future interaction.