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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.

Record type: Conference or Workshop Item (Paper)


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.

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Published date: October 2001
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


Local EPrints ID: 256281
ISBN: 1581133804
PURE UUID: 418a8676-1167-467c-8fcf-8ad443efa4e8
ORCID for Stuart Edward Middleton: ORCID iD
ORCID for David C. De Roure: ORCID iD

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Date deposited: 15 Apr 2002
Last modified: 18 Jul 2017 09:47

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Author: Stuart Edward Middleton ORCID iD
Author: David C. De Roure ORCID iD

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