Rough sets based reasoning and pattern mining for a two-stage information filtering system
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter D., Xu, Yue, & Lau, Raymond Y.K. (2010) Rough sets based reasoning and pattern mining for a two-stage information filtering system. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management, ACM, Fairmont Royal York, Toronto, pp. 1429-1432.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||filtering model , term-based, pattern- based, rough analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2010 ACM|
|Deposited On:||22 Jun 2011 03:09|
|Last Modified:||29 Feb 2012 14:29|
Repository Staff Only: item control page