【摘要】 通过分析现有中文检索系统存在的缺陷,提出了一种基于agent的中文Web信息自动检索系统。分析了系统的工作原理和体系结构,介绍了系统中使用的关键技术,将支持向量机引入智能过滤子系统,有效解决了中文Web信息的智能分类和检索。实验结果表明,该系统有效提高了检索系统中的查全率和查准率,取得了满意的个性化检索效果。更多还原

【Abstract】 This paper proposes an automatic Chinese Web information retrieving system based on agent. This system analyses its model architecture and work principle, gives solution to critical problems, leads Support Vector Machine (SVM) into intelligent filter subsystem, therefore to realize intelligent classifying and retrieving information in Chinese on the Web efficiently. Experiment results prove that this system can improve recall ratio and precision ratio effectively and then attain a satisfying personal retrieving effect.更多还原