Rough sets based reasoning and pattern mining for a two-stage information filtering system
Paper
Paper/Presentation Title | Rough sets based reasoning and pattern mining for a |
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Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Bruza, Peter (Author), Xu, Yue (Author) and Lau, Raymaon Y. K. (Author) |
Journal or Proceedings Title | Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010) |
Number of Pages | 4 |
Year | 2010 |
Place of Publication | New York, NY. United States |
ISBN | 9781450300995 |
Digital Object Identifier (DOI) | https://doi.org/10.1145/1871437.1871639 |
Web Address (URL) of Paper | https://dl.acm.org/citation.cfm?doid=1871437.1871639 |
Conference/Event | 19th ACM International Conference on Information and Knowledge Management (CIKM 2010) |
Event Details | 19th ACM International Conference on Information and Knowledge Management (CIKM 2010) Event Date 26 to end of 30 Oct 2010 Event Location Toronto, Canada |
Abstract | 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 experiments have been conducted to compare the proposed two-stage filtering (T-SM) model with other possible 'term-based + pattern-based' or 'term-based + term-based' IF models. The results based on the RCV1 corpus show that the T-SM model significantly outperforms other types of 'two-stage' IF models. |
Keywords | information filtering; decision; experimentation; theory |
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 |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y8v/rough-sets-based-reasoning-and-pattern-mining-for-a-two-stage-information-filtering-system
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