Internet智能信息检索技术研究

Researches on Intelligent Information Retrieval on Web

在Internet上大量的、分布的、动态的信息造成了“信息过载”,如何在传统信息检索技术的基础上开展针对Web的检索工作已经成为一项重要的研究课题.智能Agent利用人工智能领域中的机器学习方法,学习并刻录用户在查询时的信息反馈,建立用户框架,然后利用学到的主动查询用户感兴趣的网页资源.该算法在文章已被正确分词的基础上实现词的自动提取,具有覆盖领域广、抽取速度快、抽取信息准确率高的特点.

In this paper, based on the analysis on the current technology and tools for Web information retrieval, working principles and performing methods of the Web information retrieval system are discussed in detail, characteristics of technology of intelligent Agent and information acquiring are demonstrated as well. Aiming at improving individuation and intelligence, a new method of Web information retrieval systems are introduced in the end.