Integration of information filtering and data mining process for web information retrieval
Paper
Paper/Presentation Title | Integration of information filtering and data mining process for web information retrieval |
---|---|
Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Bruza, Peter (Author) and Xu, Yue (Author) |
Editors | Spink, Amanda, Turpin, Andrew and Wu, Mingfang |
Journal or Proceedings Title | Proceedings of the 12th Australasian Document Computing Symposium (ADCS 2007) |
Number of Pages | 4 |
Year | 2007 |
Place of Publication | Melbourne, Australia |
ISBN | 9780646484372 |
Web Address (URL) of Paper | http://goanna.cs.rmit.edu.au/~aht/adcs2007/ |
Conference/Event | 12th Australasian Document Computing Symposium (ADCS 2007) |
Event Details | 12th Australasian Document Computing Symposium (ADCS 2007) Event Date 10 Dec 2007 Event Location 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. |
Keywords | information filtering, user profiles, data mining, pattern taxonomic model |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y97/integration-of-information-filtering-and-data-mining-process-for-web-information-retrieval
870
total views7
total downloads2
views this month0
downloads this month