信息过滤是指通过监控信息源以找到满足用户需求的信息的过程。详细地论述了基于向量空间模型的信息过滤系统,系统由训练和自适应过滤两个阶段组成,在训练阶段,通过主题处理和特征抽取建立初始的过滤模板,设置初始阈值;在过滤阶段,则根据用户的反馈信息自适应地调整模板和阈值,最后给出了评估方法和实验结果。 Information filtering refers to the process of finding information that meets the needs of users by monitoring information sources. The system of information filtering based on vector space model is discussed in detail. The system consists of training and adaptive filtering. In the training phase, the initial filtering template is set up by theme processing and feature extraction, and the initial threshold is set. In the filtering phase, The template and threshold are adaptively adjusted according to the user’s feedback information. Finally, the assessment methods and experimental results are given.