基于概念格的数字图书馆信息推送服务方法研究

A Method of the Digital Library's Information Push Service Based On Concept Lattice

提出一种基于概念格发现数字图书馆用户浏览行为相关性的信息推送方法。以形式概念分析理论为基础、数据挖掘技术为手段将研究方向相似的用户自动聚类,以用户为对象、用户浏览兴趣为属性构造某一学科下的用户用法概念格,挖掘出用户群中知识点间的关联规则,并根据知识间的相关性为用户推送信息,解决以往推送方法中用户需求获取方式单一以及推送信息与用户信息需求的时效性统一程度低等问题。

By creating a method of digital library＇ s information push service, the authors try to find out the correlation of the digital library users＇ navigation interest based on concept lattice. The authors use formal concept analysis and data mining technology to cluster digital library＇ s users who have the similar research direction, and treat a users＇ usage concept lattice of a subject, with the users as objects and the research directions as attributes. Then the authors dig out the association rules based on the users＇ usage concept lattice, and push information for users based on association rules, to solve the problem of the single way of access to user＇s needs and low degree service of user＇ s needs.