基于SVM和统计的搜索引擎的设计

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.

Design of searching engine based on SVM and statistics

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.