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Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems

Au Yeung, C. M., Gibbins, N. and Shadbolt, N. (2008) Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems. In: 2008 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Workshops, 9-12 December 2008, Sydney, Australia. pp. 115-118.

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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.

Item Type:Conference or Workshop Item
Creator/Authors:
Ching Man Au Yeung
Nicholas Gibbins
Nigel Shadbolt
Keywords:user interests, folksonomy, tagging
Research Group:Current ECS Groups > Web and Internet Science
Old ECS Groups > Intelligence, Agents, Multimedia
Date:9 December 2008
Information about this record:
Performance Indicator:EZ~03~03~04
Citations:
Downloads (2010):110
ID Code:16992
Last Modified:23 Sep 2011 10:37
Deposited On:21 Dec 2008 13:50 by Au Yeung, Ching Man

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