A k-Nearest-Neighbour Method for Classifying Web Search Results with Data in Folksonomies
Au Yeung, Ching Man, Gibbins, Nicholas and Shadbolt, Nigel (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, Sydney, Australia, 09 - 12 Dec 2008. , 70-76.
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Description/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 (Paper) |
|---|---|
| Additional Information: | Event Dates: 9-12 December 2008 |
| Keywords: | web search, classification, folksonomy, tagging |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science |
| Item ID: | 266991 |
| Date Deposited: | 21 Dec 2008 13:43 |
| Last Modified: | 01 Mar 2012 17:16 |
| Contributors: | Au Yeung, Ching Man (Author) Gibbins, Nicholas (Author) Shadbolt, Nigel (Author) |
| Date: | 9 December 2008 |
| Additional Information: | Event Dates: 9-12 December 2008 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/266991 |
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