The University of Southampton
University of Southampton Institutional Repository

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)

Abstract

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.

PDF KCAP_-_camera_ready_version.pdf - Other
Download (258kB)
Postscript KCAP_-_camera_ready_version.ps - Other
Download (618kB)

More information

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

Identifiers

Local EPrints ID: 256281
URI: http://eprints.soton.ac.uk/id/eprint/256281
ISBN: 1581133804
PURE UUID: 418a8676-1167-467c-8fcf-8ad443efa4e8
ORCID for Stuart Edward Middleton: ORCID iD orcid.org/0000-0001-8305-8176
ORCID for David C. De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

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

Export record

Contributors

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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×