On text ranking for information retrieval based on degree of preference

被引：0
|
作者：
Kang, BY
Kim, DW
机构：
[1] Chung Ang Univ, Sch Comp Sci & Engn, Seoul 156756, South Korea
[2] Seoul Natl Univ, Ctr Healthcare Ontol R&D, Seoul, South Korea
来源：
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING | 2006年 / 3878卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：389 / 393
页数：5
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