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基于SVM和统计的搜索引擎的设计
引用本文:曹建芳,王鸿斌.基于SVM和统计的搜索引擎的设计[J].计算机工程与设计,2007,28(9):2138-2141,2202.
作者姓名:曹建芳  王鸿斌
作者单位:忻州师范学院,计算机系,山西,忻州,034000;忻州师范学院,计算机系,山西,忻州,034000
摘    要:随着网络的发展,以及用户应用的不断变化,通用的搜索引擎已不能应对各种不同的检索请求.面向主题的搜集系统是针对一个主题,一类网页的搜集系统,即只搜集整个网络的一个特定子集.对目前采用的各种搜集算法进行了研究和评估,确定了一套面向主题的搜集算法.该算法是基于原有搜索引擎实现的,能够有效、准确的进行同主题搜索,根据实现的结果说明基于SVM和统计的面向主题搜集系统的优势所在及其发展的可能性.

关 键 词:搜索引擎  主题  文本分类  特征提取  信息挖掘  支持向量机
文章编号:1000-7024(2007)09-2138-04
修稿时间:2006-09-05

Design of searching engine based on SVM and statistics
CAO Jian-fang,WANG Hong-bin.Design of searching engine based on SVM and statistics[J].Computer Engineering and Design,2007,28(9):2138-2141,2202.
Authors:CAO Jian-fang  WANG Hong-bin
Affiliation:Department of Computer, Xinzhou Teachers College, Xinzhou 034000, China
Abstract:With development of computer network and change of user application, common searching engine has not been rest content with all kinds of searching requisition. Searching system objected theme is aimed at a topic and a kind of network page. All kinds of existed searching algorithm are researched and estimated, thus a set of searching algorithm objected theme is defined. The searching algorithm is realized based on original searching engine and could search same theme effectively and exactly. The result indicates advantage and development of the searching engine based on support vector machine and statistics.
Keywords:searching engine  theme  text sorting  feature drawing  information excavating  SVM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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