基于概念的数字图书馆信息过滤系统研究

本文结合向量空间技术和概念检索技术提出了基于概念的数字图书馆信息过滤系统,该系统能够从词汇所表达的概念意义层次上来处理文档与用户的信息需求,系统根据用户提供的初始信息和反馈信息建立并更新用户模板,并在此基础上,主动从大量的动态信息流中挑选出满足用户需求的信息推送给用户。

This paper presents a concept - based information filtering system in digital library which uses vector space technology and concept- based information retrieval technology. This system deals with the document and the user＇s interest information basing on concepts. This system builds the user profile according to the information provided initiatively by the user, updates the user profile according to the user＇s feedback information. By using the user profile, this system can filter necessary information from mass information and push it to the user who need it.