Retrieving and Connecting Reputations to Find Reliable Results

Online reputation addresses trust relationship amongst agents in the dynamic open systems which can appear as ratings, recommendations, referrals and feedbacks. Several reputation models and rating aggregation algorithms have been proposed. However, finding a trusted object on the web is still an issue as all reputation systems work individually. The aim of this project is to introduce a reputation system that takes advantage of different types of reputation data over the web to make a trusted choice as a whole in the search result.