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Trust prediction in Social Networks is required to solve the cold start problem, which consists of guessing a Trust value when the truster has no direct previous experience on the trustee. Trust prediction can be achieved by the application of machine learning approaches applied to reputation features, which are extracted from the available Trust information provided by witness users. Conventional...
When a user (the truster) in a social network is trying to solve the problem of guessing whether he/she will trust or not another user (the trustee) when he/she has not direct experience of the trustee behavior, then the truster is facing a Trust prediction problem. In this paper we deal with this problem as a classification problem based on reputation features of the target trustee. Reputation refers...
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