网络文本信息过滤的意义及其模型初探

Research on the Model of Internet Text Information Filtering

网络文本信息过滤可根据用户的需求,通过过滤机制主动选择所需的信息,有效解决网络信息迷航的问题。文章就网络文本信息过滤的用户建模和用户匹配技术进行了初步探讨,并在阐述信息过滤一般应用模型的基础上提出网络文本信息过滤模型,分析网络文本信息过滤模型的应用特征及其组件,并着重讨论了布尔逻辑模型、概率模型和向量空间模型的基本原理与方法,最后就模型中两大技术应用存在的问题总结并提出了一些改进意见。

Internet text filtering can solve the problem of information lost according to user＇s demand. This paper mainly analyzes two relevant techniques of text filtering model, proposes the model of internet text filtering based on information filtering model and the characters and parts of text filtering model are also introduced. Then this paper discusses three important models： Boolean Model, Vector Space Model and Probability Model. Finally some viewpoints on how to improve two relevant techniques are given.