计算机与数字工程Issue(9)：2145-2149,2154,6.DOI:10.3969/j.issn.1672-9722.2019.09.008
基于改进SVM算法的聚焦爬虫设计与实现∗
Design and Implementation of Focused Search Engine Based on Improved SVM Algorithm
摘要
Abstract
Search Engine have a vital role in search engines. In order to solve the problem that the traditional Search Engine crawles the inefficient webpage information in specific fields,an improved Search Engine algorithm based on improved Support Vec?tor Machine(SVM)is proposed based on the analysis of traditional Search Engine algorithm. The algorithm is used to optimize the Search Engine algorithm based on the weight feature extraction method based on Uncertainty Measure(UM). The experimental re?sults show that this feature extraction method greatly improves the rate of reptiles,and the recall and precision are improved.关键词
聚焦爬虫/特征提取/UM/SVM/速率Key words
search engine/feature extraction/UM/SVM/rate分类
信息技术与安全科学引用本文复制引用
乔平安,田晶晶,任静..基于改进SVM算法的聚焦爬虫设计与实现∗[J].计算机与数字工程,2019,(9):2145-2149,2154,6.基金项目
陕西省教育厅专项科研计划"电信运营大数据背景下的用户上网行为分析系统关键技术研究与实践"(编号:16JK1689)资助. （编号:16JK1689）
