The goal of a trust-based recommendation system is to generate personalized recommendations from known opinions and trust relationships. Prior work introduced the axiomatic approach to trust-based recommendation systems, but has been extremely limited by considering binary systems, while allowing these systems to be inconsistent. In this work we introduce an axiomatic approach to deal with cons...

With the gradually opening up of the network environment, trust mechanisms for information security are increasingly becoming an important prerequisite and foundation. Fuzziness and uncertainty are two basic features of trust. The qualitative and quantitative transform model--Cloud model is applied to the trust evaluation, and a Cloud-Based Weighted Trust Model (CBWT Model) is proposed, includi...

We address the problem of modeling trust network evolution through social communications among users in a social media site. In particular, we focus on a social trust-link created between two users having mediating-objects such as mediating-users and mediating-items, and analyze the time-decay effects of mediating-objects on social trust-link creation. To this end, we first introduce the basic ...

In this paper, we propose a retrospective filter trust region algorithm for unconstrained optimization, which is based on the framework of the retrospective trust region method and associated with the technique of the multi-dimensional filter. The new algorithm gives a good estimation of trust region radius, relaxes the condition of accepting a trial step for the usual trust region methods. Und...

Trust is a promising research topic for social networks, since it is a basic component of our real-world social life. Yet, the transfer of the multi-facetted concept of trust to virtual social networks is an open challenge. In this paper we provide a survey and classification of established and upcoming trust systems, focusing on trust models. We introduce a set of criteria as basis of our anal...