一种Web信息的启发式检索方法

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

A Heuristic Search Approach of Web Information

Internet is an open and distributed global net. It's resource distributed in different region all over the world and without unified management and structure. This results it difficult to search information on Internet. At the same time, Internet is an enormous information resource. Therefore, a quick and effective search method of Web information is attractive in application. This paper presents a heuristic search approach that takes correlative degree and user's interest as evaluating function. Based on the heuristic search algorithm, it puts forward an effective approach for reusing search knowledge by machine learning.