Multi-Layered Ontology-Based User Profiles and Semantic Social Networks for Recommender Systems
نویسندگان
چکیده
This paper describes a strategy that automatically clusters ontologybased user profiles taking into account their common interests for domain concepts. The obtained semantic clusters are used to identify similarities among individuals at multiple semantic preference layers, and to define emergent, layered social networks that can be applied in collaborative and recommender systems. As an applicative development of our method, we have experimented with building a personalized information retrieval model that provides ranked item lists based on the existing concept clusters and multi-layered user networks.
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