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数字图书馆个性化信息检索模型研究*
引用本文: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.
作者姓名:许春漫
作者单位:福建师范大学社会历史学院信息管理系,福州,350007
基金项目:福建省教育厅社会科学基金
摘    要:结合向量空间技术、Agent技术、Web日志挖掘等技术提出了一个基于概念的数字图书馆个性化信息检索模型。该模型根据用户主动提供的初始信息建立基于概念的用户兴趣模型,利用用户对文档的主动评价和用户的访问行为更新用户兴趣模型,并将用户兴趣模型用于检索结果的相关度排序和最新信息的推荐以及合作推荐。最后给出系统的实现方法。

关 键 词:个性化信息检索  用户兴趣模型
收稿时间:2005-11-17
修稿时间:2005-12-16

Research on the Personalized Information Retrieval Model in Digital Library
Xu Chunman.Research on the Personalized Information Retrieval Model in Digital Library[J].New Technology of Library and Information Service,2006,1(3):15-19.
Authors:Xu Chunman
Institution:Department of Information Management, College of Sociology and History, Fujian Normal University, Fuzhou 350007, China
Abstract:This paper presents a concept based personalized information retrieval model in digital library which uses many technologies including vector space, Agent and Web log file mining. This model builds the concept based 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.
Keywords:Digital library Personalized information retrieval User interest profile
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