Internet是一个开放的全球分布式网络 ,资源分布在世界上不同的地方 ,并且网上资源没有统一的管理和结构 ,导致了信息搜索的困难 .同时 ,Internet是一个有巨大价值的信息源 .因此 ,研究一种快速、高效的 Web信息检索方法是很有实用意义的 .本文提出了一种用相关度及用户兴趣作为评价函数在 Internet上进行启发式搜索及在此基础上利用机器学习有效的实现搜索知识重用的方法 Internet is an open global distributed network with resources distributed in different parts of the world, and there is no unified management and structure of online resources, resulting in the difficulty of information search.At the same time, the Internet is a great source of information.Therefore, It is very practical to research a fast and efficient Web information retrieval method.This paper proposes a heuristic search method using relevancy and user interest as an evaluation function on the Internet and makes use of the effective implementation of machine learning based on it Search knowledge reuse method