This paper presents a conceptbased personalized information retrieval model in digital library which uses many technologies including vector space, Agent and Web log file mining. This model builds the conceptbased user interest profile according to the information provided initiatively by the user, updates the user interest profile according to the user’s interest information explicitly and the user’s implicit feedback which is obtained by observing the user action when the user visits the digital library. This model can use the user interest profile in queuing the search result by correlation degree,recommending the latest information to the user and collaboration-based recommending.At last a method of system realization is proposed.
许春漫 . 数字图书馆个性化信息检索模型研究*[J]. 现代图书情报技术, 2006, 1(3): 15-19.
Xu Chunman . Research on the Personalized Information Retrieval Model in Digital Library. New Technology of Library and Information Service, 2006, 1(3): 15-19.