Trust Evaluation Using Items Ratings in Online Communities

With the increasing of information overloading, it is necessary to have a robust trust model to help the users to collect the reliable information. Recent researches in trustprediction are extremely rely on users explicit trust, which is based on users past experiences. However, users explicit trust isnot always available and if it is available, it will be so sparse and can’t be used to predict the trust between two unknown users with high accuracy. In this paper, we propose anapproach to predict trust values between users based on items ratings and without using explicit trust values. Using thismodel, we can predict trust values without access to web of trust and then apply it in online communities. We have investigated our approach with some experiments with realworlddataset collected from epinions.com. The results show that our approach can predict trust values with high accuracy

Keywords:

trust , items rating , implicit trust , explicit trust