Integration of information filtering and data mining process for web information retrieval

Zhou, Xujuan and Li, Yuefeng and Bruza, Peter and Xu, Yue (2007) Integration of information filtering and data mining process for web information retrieval. In: 12th Australasian Document Computing Symposium (ADCS 2007), 10 Dec 2007, Melbourne, Australia.

Abstract

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.


Statistics for USQ ePrint 30991
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty / Department / School: No Faculty
Date Deposited: 29 Nov 2017 04:55
Last Modified: 01 Dec 2017 01:25
Uncontrolled Keywords: information filtering, user profiles, data mining, pattern taxonomic model
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
URI: http://eprints.usq.edu.au/id/eprint/30991

Actions (login required)

View Item Archive Repository Staff Only