In the offline world, we look to the people we trust and those they trust for reliable information. In this paper, we present a computational model of this phenomenon and show how it can be used to identify high quality content in an Open Rating System, i.e., a system in which any user can rate content. We present a case study (Epinions.com) of a system based on this model and describe a new platform called PeopleNet for harnessing this phenomenon in an open distributed fashion. 1.
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in ‘1st Workshop on Friend of a Friend, Social Networking and the Semantic Web