Web信息检索问题及算法改进研究

随着Internet上的信息量急剧增加,如何快速、准确地从浩瀚的信息资源中寻找到所需信息已经成为Web信息挖掘的一大难题,形成了所谓的Rich Data-Poor Information问题.文章分析了传统信息检索与挖掘存在的问题,说明基于智能的个性化信息检索的实现,并提供了智能个性化信息检索的模型,以解决查全率和查准率的矛盾问题.

On the Web Information Retrieval and the Improvement on its Algorithm

Mong with the rapid increase of information on Internet, the problem of how to find necessary information quickly and accurately becomes prominent, this leads to the problem of ＂Rich Data-Poor Information＂. The paper analyses existing problems of traditional information retrieval methods, explains the implementation based on intelligent individualized information retrieval, and provides the model of intelligent individualized information retrieval in order to resolve the conflict of entirety and accuracy of information retrieval.