摘要
随着Internet上信息量的急剧增加,如何使用户获得有用的信息已成为信息检索系统急需解决的问题。针对存在的问题,本文提出了一个基于Internet的个性化搜索引擎系统,该系统采用Agent技术及相关反馈学习算法,满足于Internet中信息检索的需要,具有一定的理论价值和应用价值。
The amount of information on the Internet is inereasing dramatically .The ability of facilitating users to achieve useful information is more and more important for informational retrieval systems. Aiming at existent problems, a personalized search engine is introduced. The system is implemented using the agent techniques and the relevan feedback approach. This system generally can be used in the information retrieval in Internet and have high significance in theories and applications.
出处
《现代计算机》
2005年第10期31-34,共4页
Modern Computer
