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Collaborative tagging systems have emerged in recent years to become popular tools for organising information on the Web. While collaborative tagging offers many advantages, they also suffer from several limitations, with a major one being the existence of ambiguous tags. To understand what an ambiguous tag is intended to mean, we need to know the contexts in which it is used. Instead of using common...
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...
Traditional Web search engines mostly adopt a keyword-based approach. When the keyword submitted by the user is ambiguous, search result usually consists of documents related to various meanings of the keyword, while the user is probably interested in only one of them. In this paper we attempt to provide a solution to this problem using a k-nearest-neighbour approach to classify documents returned...
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