Ontological user profiling in recommender systems.

We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers. Our two experimental systems, Quickstep and Foxtrot, create user profiles from unobtrusively monitored behaviour and relevance feedback, repr...

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Bibliographic Details

Published in:	ACM transactions on information systems. 22, 1 (2004).
Main Author:	Middleton, Stuart E.
Other Authors:	Shadbolt, Nigel R., De Roure, David C.
Format:	Article
Language:	English
Subjects:	Agent. Machine learning. Ontology. Personalization. Recommender systems. User modelling. User profiling.