由信息过滤引发的基于知识的过滤机制构想

Knowledge-based Filtering Aroused from Information Filtering

在分析信息过滤理论背景的基础上,指出目前信息过滤系统存在的主要瓶颈问题是:相关度过滤算法过于依赖文本统计分析方法;信息质量过滤算法严重缺乏;如何创建精确的用户模板以表达用户的信息需求。在此基础上,探讨借助信息过滤技术建立基于知识的过滤机制的必要性与前景,同时提出建立基于知识的过滤机制的关键技术与模式的设想。

Development of science and technology brings not only lots of information resources but also overloaded information problems. And information filter is the outcome of information ages. Faced with the information overloaded, relevant technology for information filtering must be improved to deal with this problem. In this paper main problems in information filtering are analyzed. With the requirement of digital libraries, it is necessary to establish a knowledge-based filtering mechanism with the help of information filtering technology. Under this condition, key technologies for a model of knowledge-based filtering mechanism will be possibly solved.