Capturing scholars knowledge from heterogeneous resources for profiling in recommender systems
We examine appropriate knowledge resources for profiling scholars background knowledge. We discuss how knowledge items can be unobtrusively captured from knowledge resources. We represent how heterogeneity among different knowledge resources is resolved. We model scholars academic knowledge by collecting knowledge items from mediated profiles in digital libraries. We unify the scholars knowledge items by Wikipedia.
recommender system mediated profile knowledge acquisition scholar profiling