【作者】 张宇光；

【导师】 毕强；

【作者基本信息】 吉林大学 ， 图书馆学， 2005， 硕士

【摘要】 随着信息技术的日臻成熟,信息资源正以指数级的速度增长,用户被信息的汪洋大海所包围,经常出现“信息迷航”和“信息过载”等现象。在浩如烟海的信息世界中,人们寻找有用信息存在着很大的困难,为了更好地满足用户的需要,个性化信息服务便产生了。本文围绕数字图书馆的个性化信息服务,针对其相关的关键技术展开研究。完成以下工作: 1 分析比较各种个性化信息推荐系统,尝试的构建一个性化信息推荐系统。2 针对用户感兴趣问题,通过建立个人数字图书馆更加准确的获取用户的需求信息。3 在内容过滤中,提出一个改进的概率模型算法来实现基于内容过滤。4 在协同过滤中,提出基于分类的协同过滤算法。5 在聚类分析中,引入知识学习的循序性,提出一个基于时间性的聚类分析算法。更多还原

【Abstract】 With gradual maturation of the information technologies, information resources are more and more abundant. It is very difficult for people to find useful information in the world of tremendous amount of information. To satisfy the requirement of users, the personalized information services appear. This paper researches on related key technologies among personalized information services for digital library made in the dissertation. The following works have been mostly completed: 1 The paper analyses and compares kinds of personalized information services recommender system. It tries to reconstruct a new personalized information services recommender system. 2 By constructed personal digital library ,the requirement of users are collect more accuracy 3 This paper puts forward an improved probability model based on classify in content filtering. 4 This paper puts forward an model based on classify in collaborative filtering. 5 This paper puts forward an model based on the order of time in cluster analysis.更多还原