个性化信息检索是以用户为中心,通过分析用户的信息行为及需求特征,得出用户的兴趣爱好。基于这种背景,在分析已有个性化信息检索系统的基础上,引入用户建模技术、Web数据挖掘技术和协同过滤技术,针对中文文本自身的特点及这些特点带来的信息处理特殊性,构建了一个数字图书馆个性化中文文本信息检索系统。 Personalized information retrieval is user-centered, through the analysis of the user’s information behavior and demand characteristics, come to the user’s hobbies. Based on this background, based on the analysis of existing personalized information retrieval system, user modeling, Web data mining and collaborative filtering technology are introduced. According to the characteristics of Chinese texts and the particularity of information processing brought by these features, Constructs a digital library personalized Chinese text information retrieval system.