无线电工程2015，Vol.45Issue(11)：13-16,25,5.DOI:10.3969/j.issn.1003-3106.2015.11.04
基于朴素贝叶斯的垂直搜索引擎分类器设计
Design of Vertical Search Engine Classifier Based on Naive Bayes
于秀丽 1王阳 2齐幸辉2
作者信息
- 1. 天津科技大学, 天津300222
- 2. 河北远东通信系统工程有限公司, 河北 石家庄050200
- 折叠
摘要
Abstract
Along with the explosive growth of Internet pages,traditional universal search engines are more and more complained for problems such as inaccurate search and insufficient depth.Therefore,vertical search engine for special industries gradually emerges, and the associated researches attract more and more attention. Internet page classification is the basis and difficult point of vertical search engine.The quality of the classifier directly determines the performance of a vertical search engine system. The vertical search engine classifier based on naive Bayes extracts the features through CHI method,and then by using the naive Bayes model,it classifies the pages crawled from the Internet according to the contents.The experimental result shows that such classifier has good performance in classifyingInternet pages,which provides certain theoretical foundation for the construction of large-scale vertical search engine system.关键词
朴素贝叶斯/垂直搜索引擎/特征提取/文档分类Key words
naive Bayes classifier/vertical search engine/featureextraction/document classification分类
信息技术与安全科学引用本文复制引用
于秀丽,王阳,齐幸辉..基于朴素贝叶斯的垂直搜索引擎分类器设计[J].无线电工程,2015,45(11):13-16,25,5.
