A two-stage decision model for information filtering

Li, Yuefeng and Zhou, Xujuan and Bruza, Peter and Xu, Yue and Lau, Raymond Y.K. (2012) A two-stage decision model for information filtering. Decision Support Systems, 52 (3). pp. 706-716. ISSN 0167-9236

Abstract

Information mismatch and overload are two fundamental issues influencing the effectiveness of information filtering systems. Even though both term-based and pattern-based approaches have been proposed to address the issues, neither of these approaches alone can provide a satisfactory decision for determining the relevant information. This paper presents a novel two-stage decision model for solving the issues. The first stage is a novel rough analysis model to address the overload problem. The second stage is a pattern taxonomy mining model to address the mismatch problem. The experimental results on RCV1 and TREC filtering topics show that the proposed model significantly outperforms the state-of-the-art filtering systems.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Historic - Faculty of Business and Law - School of Management and Marketing
Date Deposited: 05 Sep 2016 06:08
Last Modified: 13 Jan 2017 04:26
Uncontrolled Keywords: information filtering; Text classification; User profiles; Pattern mining; Decision models
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1016/j.dss.2011.11.005
URI: http://eprints.usq.edu.au/id/eprint/29635

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