document: Trust analysis with clustering Web provides rich information about a variety of objects . Trustability is a major concern on the web . Truth establishment is an important task so as to provide the right information to the user from the most trustworthy source . Trustworthiness of information provider and the confidence of the facts it provides are inter-dependent on each other and hence can be expressed iteratively in terms of each other . However , a single information provider may not be the most trustworthy for all kinds of information . Every information provider has its own area of competence where it can perform better than others . We derive a model that can evaluate trustability on objects and information providers based on clusters ( groups ) . We propose a method which groups the set of objects for which similar set of providers provide `` good '' facts , and provides better accuracy in addition to high quality object clusters .
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