基于个性化推荐的图书管理系统(毕业论文).doc

南 京 审 计 学 院 本科生毕业设计（论文）报告 题目：基于个性化推荐的图书管理系统的分析与设计 姓名： 马 莉 学号： 二级学院： 工学院 班级: 11计算机3班 专业： 计算机科学与技术（计算机审计方向） 指导教师： 陈一飞 职称： 副教授 二0一五 年 五 月 南京审计学院毕业设计（论文）诚信承诺书 1.本人在毕业论文（设计）撰写过程中遵守学校有关规定，恪守学术规范，毕业论文（设计）是在指导教师的指导下独立完成； 2．论文所使用的相关资料、数据、观点等均真实可靠，文中所有引用他人观点、材料、数据、图表均已注释说明来源； 3．论文无抄袭、剽窃或不正当引用他人学术观点、思想和推荐的图书管理系统的与 马莉 11计算机3班） 【摘要【关键词】管理系统；过滤 Analysis and design of library management system based on Personalized Recommendation Abstract: With the explosive growth of information and the rapid development of modern information technology, the library as a collection of information, more and more attention by local and university. In order to guarantee the high quality of the information resources, each university has set up a rich library and its supporting virtual digital library.In the larger library, resource data amount is very large, which leads to the reader to find the information they want like looking for a needle in a haystack.If information can be like people more intelligent to find really want to the owner of it, then the resource is difficult to reach user problems will be solved, which gave birth to the personalized recommendation service.This paper is based on the current academic library personalized book recommendation service development lag, the lack of innovative points, analysis and design of the personalized recommendation of the library management system.Personalized recommendation service core is user interest mining, understand the user is most likely to occur in the point of interest, starting from the points of interest, truly what the user wants it to him what to the user to provide exclusive personalized service and accurately meet their information needs.This system uses the cosine similarity algorithm in collaborative filtering, mining the reader information needs and builds the reader interest model, and uses the recommendation algorithm to re