Semantic Web Recommender Systems
Research on recommender systems has primarily addressed centralized scenarios and largely ignored open, decentralized systems where remote information distribution prevails. Absence of superordinate authorities having full access and control introduces some serious issues requiring novel approaches and methods. Hence, our primary objective targets succesful deployment and leverage of recommender system facilities for Semantic Web applications, making use of novel technologies and conceptions and integrating them into one coherent framework.
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