Au Yeung, C. M., Gibbins, N. and Shadbolt, N. (2008) A k-Nearest-Neighbour Method for Classifying Web Search Results with Data in Folksonomies. In: 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 9-12 December 2008, Sydney, Australia. pp. 70-76.
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Abstract
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 by a search engine, by building classifiers using data collected from collaborative tagging systems. Experiments on search results returned by Google show that our method is able to classify the documents returned with high precision.
| Item Type: | Conference or Workshop Item | ||||||
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| Keywords: | web search, classification, 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: | Google Scholar: 4 | ||||||
| Downloads (2010): | 154 | ||||||
| ID Code: | 16991 | ||||||
| Last Modified: | 23 Sep 2011 10:37 | ||||||
| Deposited On: | 21 Dec 2008 13:43 by Au Yeung, Ching Man | ||||||
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