Multi-text Fusion Computation Based on Flexible Interval Control

被引：0
|
作者：
Xu, Lingyu [1 ]
Zhang, Na [1 ]
Huang, Wentao [1 ]
Sun, Shijie [1 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200072, Peoples R China
来源：
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 | 2008年
关键词：
Text filtration; sample fusion; similarity computation; interval regulation; result feedback;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A method of Multi-Text fusion computation is discussed in this paper which extracts the common features automatically by using text fusion. When search the information in a special domain, the keywords are picked out by using relative sample muster fusion, keywords' flexible control is realized by regulating the sample muster, in final search-space's Conditioning control and result tropism are achieved. This method, to a certain extent, avoids the either-choice windage, makes the probability of search-completely and the result amount reach a best harmony, finally realizes the optimal cost performance.
引用
收藏
页码：1795 / 1800
页数：6
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