基于信息过滤技术的搜索引擎研究

The study of information filtering technology in web sites search system

随着网络信息数量的迅猛增长,“信息过载”、“信息超载”现象引起了人们的重视。信息过滤技术就是为了克服上述现象,减少用户在获得信息过程中的负担,向用户提供数量适宜、质量优良的信息。本文主要介绍了信息过滤的三种方式,重点研究了基于内容分析的信息过滤技术。并且给出了一个信息过滤技术的具体应用实例,说明了系统的设计思想、关键技术和具体实现。

With the rapid development of the network, the exploding volume of digital information makes it very difficult for users to use. Then, the researches focus on the information filtering technology, which can reduce the users＂ burden in the course of obtaining the network information. The paper analyzes content-based systems. Firstly, the paper introduces three filtering model Boolean model, Vector Space model and probability, analyzes their strengths and weaknesses. After that, the paper introduces the design and development of Web Sites Search system.