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Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy, and big-error in predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A distinct...
Collaborative filtering (CF) is an important and popular technology for recommendation systems. However, current collaborative filtering methods suffer from some problems such as sparsity problem, inaccurate recommendation and producing big-error predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation...
According to the studies of cognitive psychology, object typicality plays an important role in concept representation in human cognitive process. However, computational ontologies cannot reflect the typicality of objects in concepts. Besides, context is important in measuring object typicality. In this paper, we present a formal model of context-aware ontology with multi-prototype concept and object...
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