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Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2008)
Dec. 9, 2008 to Dec. 12, 2008
ISBN: 978-0-7695-3496-1
pp: 115-118
ABSTRACT
We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users are usually not able to reflect such diversity. We propose a method to construct user profiles of multiple interests using data in a collaborative tagging system. Our evaluation suggests that the proposed method is able to generate user profiles which reflect the diversity of user interests and can be used to help provide more focused recommendation.
INDEX TERMS
collaborative tagging, folksonomy, user profiling
CITATION

N. Shadbolt, N. Gibbins and C. A. Yeung, "Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems," Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on(WI-IAT), vol. 03, no. , pp. 115-118, 2008.
doi:10.1109/WIIAT.2008.267
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