Ontological User Profiling on Personalized Recommendation in e-Commerce

Personalized information service is one of the hotspots in e-commerce, in order to provide appropriate recommendation to every user, the service should have well-defined user profile. In this paper, we explore a novel approach in user profiling using ontology on the problem of recommendation in e-commerce. The user profile is represented in ontological classes. Userpsilas interests are tagged and automatically updated with commodity ontology classes, combined with ontology inference to find missing interests.