Capturing knowledge of user preferences: ontologies in recommender systems

Middleton, Stuart Edward, Roure, David C. De and Shadbolt, Nigel R. (2001) Capturing knowledge of user preferences: ontologies in recommender systems At conference; 2001-10-01.


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Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a dynamic environment. We explore the acquisition of user profiles by unobtrusive monitoring of browsing behaviour and application of supervised machine-learning techniques coupled with an ontological representation to extract user preferences. A multi-class approach to paper classification is used, allowing the paper topic taxonomy to be utilised during profile construction. The Quickstep recommender system is presented and two empirical studies evaluate it in a real work setting, measuring the effectiveness of using a hierarchical topic ontology compared with an extendable flat list.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in the proceedings of the First International Conference on Knowledge Capture, K-CAP2001 Organisation: ACM
Venue - Dates: conference; 2001-10-01, 2001-10-01
Organisations: Web & Internet Science, Electronics & Computer Science, IT Innovation
ePrint ID: 256281
Date :
Date Event
October 2001Published
Date Deposited: 15 Apr 2002
Last Modified: 17 Apr 2017 23:07
Further Information:Google Scholar

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