摘要
在研究垂直搜索引擎的设计思想、相关技术的基础上,利用Nutch开源框架设计实现了节能减排垂直搜索引擎的设计,支持了对节能减排相关信息的检索服务。系统采用网页模板技术对网页信息进行提取,采用改进的TF-IDF算法提取特征词,利用基于特征词的向量空间模型进行主题相关性判定,利用朴素贝叶斯算法对网页信息进行分类。
Based on the research on design concept and related technologies of vertical search engines,the vertical search engine used for energy-saving and emission-reduction is designed,with the help of Nutch open source framework design,in order to support for information retrieval services related to energy-saving and emission-reduction. This system uses a Web page template technology to extract Web information,and the improved TF-IDF algorithm is adopted to extract key words; vector space model based on the key words is utilized to test subject correlation,and finally the naive bayesian classifier algorithm can help to classify Web information.
出处
《重庆科技学院学报（自然科学版）》
CAS
2017年第1期92-96,共5页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省省级自然科研重点项目"大中型企业员工绩效评价理论模型信息化研究与实现"(KJ2016A134)
安徽省省级自然科研一般项目"基于Nutch的节能减排垂直搜索引擎设计与应用研究"(KJSM201601)
关键词
节能减排
搜索引擎
网页模板
向量空间
朴素贝叶斯
energy-saving and emission-reduction
search engine
Web template
vector space
naive bayes
