On text ranking for information retrieval based on degree of preference
- Authors
- Kang, B.Y.; Kim, Dae-Won
- Issue Date
- Feb-2006
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, v.3878, pp 389 - 393
- Pages
- 5
- Journal Title
- COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING
- Volume
- 3878
- Start Page
- 389
- End Page
- 393
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40652
- DOI
- 10.1007/11671299_40
- ISSN
- 0302-9743
1611-3349
- Abstract
- A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. However, these conventional fuzzy ranking models are limited to incorporate the user preference when calculating the rank of documents. To address this issue, we develop a new fuzzy ranking model based on the user preference.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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