A two-stage information filtering based on rough decision rule and pattern mining
Article
Article Title | A two-stage information filtering based on rough decision rule and pattern mining |
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ERA Journal ID | 200978 |
Article Category | Article |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Bruza, Peter (Author), Xu, Yue (Author) and Lau, Raymond (Author) |
Journal Title | Journal of Emerging Technologies in Web Intelligence |
Journal Citation | 2 (4), pp. 326-332 |
Number of Pages | 7 |
Year | 2010 |
Place of Publication | Finland |
ISSN | 1798-0461 |
Digital Object Identifier (DOI) | https://doi.org/10.4304/jetwi.2.4.326-332 |
Web Address (URL) | http://www.jetwi.us/index.php?m=content&c=index&a=show&catid=160&id=911 |
Abstract | Information Overload and Mismatch are two fundamental problems affecting the effectiveness of information filtering systems. Even though both term-based and patternbased approaches have been proposed to address the problems of overload and mismatch, neither of these approaches alone can provide a satisfactory solution to address these problems. This paper presents a novel two-stage information filtering model which combines the merits of term-based and pattern-based approaches to effectively filter sheer volume of information. In particular, the first filtering stage is supported by a novel rough analysis model which efficiently removes a large number of irrelevant documents, thereby addressing the overload problem. The second filtering stage is empowered by a semantically rich pattern taxonomy mining model which effectively fetches incoming documents according to the specific information needs of a user, thereby addressing the mismatch problem. The experimental results based on the RCV1 corpus show that the proposed twostage filtering model significantly outperforms the both termbased and pattern-based information filtering models. |
Keywords | information filtering; user profiles; rough set theory; pattern mining |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y87/a-two-stage-information-filtering-based-on-rough-decision-rule-and-pattern-mining
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