题 目： 基于 协同过滤 的 图书推荐 系统设计与实现 摘 要在如今人才匮乏、知识重要的全球新时代环境下，人民对追求学问的迫切，加剧了图书信息量的发展。读者想要在短时间内从海量书籍中寻觅出自己感兴趣的图书越来越困难。为此，计算机领域的相关专业人员提出并且实现了运用数据挖掘技术，通过对广大图书馆用户进行历史行为的分析，研发出了方便大众使用的个性化图书推荐系统。本文将在众多的推荐算法中选择协同过滤来作为实现图书推荐系统的理论基础，全面的阐述其思想、算法实现的步骤、系统开发所具备的技术等。关键词：图书；推荐系统；协同过滤ABSTRACTIn this global new era environment where talents are scarce and knowledge is important, people's urgency to pursue learning has aggravated the development of library information. It is becoming more and more difficult for readers to find books of interest from a large number of books in a short time. Therefore, professionals in the computer field have proposed and implemented the use of data mining technology, through the analysis of the historical behavior of the majority of library users, to develop a personalized book recommendation system that is convenient for the public. This article will choose collaborative filtering as the theoretical basis for implementing a book recommendation system among a large number of recommendation algorithms, comprehensively elaborating its ideas, algorithm implementation steps, and system development technologies.Keywords：Books；Recommendation system；Collaborative filtering目 录第一章 绪论.............................................................................................................................11.1 研究背景及意义.............................................................................................................11.2 国内外研究现状.............................................................................................................11.3 论文研究的...
