Ontological User Profiling on Personalized Recommendation in e-Commerce

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-co...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Siping He, Meiqi Fang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Condition monitoring
e-Commerce
Electronic commerce
Filtering
Helium
Information resources
Kernel
Ontologies
Ontology
Personalized Recommendation
Recommender systems
Resource description framework
Tagging
User Profiling
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ICEBE.2008.26