Title :
Ontological User Profiling on Personalized Recommendation in e-Commerce
Author :
He, Siping ; Fang, Meiqi
Author_Institution :
Sch. of Inf., Renmin Univ. of China, Beijing
Abstract :
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.
Keywords :
electronic commerce; information services; ontologies (artificial intelligence); user interfaces; e-commerce; ontological user profiling; personalized recommendation; Condition monitoring; Electronic commerce; Filtering; Helium; Information resources; Kernel; Ontologies; Recommender systems; Resource description framework; Tagging; Ontology; Personalized Recommendation; User Profiling; e-Commerce;
Conference_Titel :
e-Business Engineering, 2008. ICEBE '08. IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3395-7
DOI :
10.1109/ICEBE.2008.26
