A two-stage decision model for information filtering
Article
| Article Title | A two-stage decision model for information filtering |
|---|---|
| ERA Journal ID | 17833 |
| Article Category | Article |
| Authors | Li, Yuefeng (Author), Zhou, Xujuan (Author), Bruza, Peter (Author), Xu, Yue (Author) and Lau, Raymond Y.K. (Author) |
| Journal Title | Decision Support Systems |
| Journal Citation | 52 (3), pp. 706-716 |
| Number of Pages | 11 |
| Year | 2012 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0167-9236 |
| 1873-5797 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.dss.2011.11.005 |
| Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S0167923611002090 |
| 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. |
| Keywords | information filtering; Text classification; User profiles; Pattern mining; Decision models |
| ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
| 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/q3911/a-two-stage-decision-model-for-information-filtering
1768
total views7
total downloads0
views this month0
downloads this month