Query expansion with naive bayes for searching distributed collections

Yang, Hui and Zhang, Minjie (2002). Query expansion with naive bayes for searching distributed collections. In: Proceedings of the 11th Conference on Intelligent Systems: Emerging Technologies, 18-20 July 2002, Boston, Massachusetts, USA.

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Abstract

The proliferation of online information resources increases the importance of effective and efficient distributed searching. However, the problem of word mismatch seriously hurts the effectiveness of distributed information retrieval. Automatic query expansion has been suggested as a technique for dealing with the fundamental issue of word mismatch. In this paper, we propose a method - query expansion with Naive Bayes to address the problem, discuss its implementation in IISS system, and present experimental results demonstrating its effectiveness. Such technique not only enhances the discriminatory power of typical queries for choosing the right collections but also hence significantly improves retrieval results.

Item Type:	Conference or Workshop Item
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group:	Centre for Research in Computing (CRC)
Item ID:	12998
Depositing User:	Hui Yang
Date Deposited:	02 Feb 2009 04:13
Last Modified:	07 Nov 2017 07:34
URI:	http://oro.open.ac.uk/id/eprint/12998
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