Integration of Information Filtering and Data Mining Process for Web Information Retrieval

Zhou, Xujuan, Li, Yuefeng, Bruza, Peter D., & Xu, Yue (2007) Integration of Information Filtering and Data Mining Process for Web Information Retrieval. In 12th Australasian Document Computing Symposium (ADCS 2007), 10 December, 2007, Melbourne.


This paper examines a new approach to Web information retrieval, and proposes a new two stage scheme. The aim of the first stage is to quickly filter irrelevant information based on the user profiles. The proposed user profiles learning algorithm are very efficient and effective within a relevance feedback framework. The aim of the second stage is to apply data mining techniques to rationalize the data relevance on the reduced data set. Our experiments on RCV1 (Reuters Corpus Volume 1) data collection which is used by TREC in 2002 for filtering track show that more effective and efficient access Web information has been achieved by combining the strength of information filtering and data mining method.

Impact and interest:

2 citations in Web of Science®
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198 since deposited on 26 Jun 2008
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ID Code: 13884
Item Type: Conference Paper
Refereed: No
Additional Information: The contents of this conference can be freely accessed online via the conference's web page (see hypertext link).
Additional URLs:
ISBN: 9780646484372
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 (please consult author)
Deposited On: 26 Jun 2008 00:00
Last Modified: 29 Feb 2012 13:34

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