基于 Spark 集群的电影分享社交平台的设计与实现 Design and Implementation of Movie Sharing Social Platforms Based on Spark 摘 要本论文主要针对互联网上海量信息对用户造成的选择困扰问题，设计并实现了一款基于 Spark 集群的电影分享社交平台，该平台使用SpringBoot 框架搭建 Web 平台，用 Spark 集群以及协同过滤算法对数据进行计算，推荐用户可能喜欢的电影，过滤用户不需要的垃圾信息，向用户提供个性化服务，以及使用 Socket 技术实现在线实时聊天，让用户体验良好的在线互动，并且增加了电影评论的功能，让用户在挑选电影观看之前能够快速通过电影评分以及他人评价，得到电影是否适合自己观看的合理判断。解决了用户选择困扰的问题，在智能推荐方面与传统电影网站有明显的改进。关键词：推荐系统；协同过滤算法；Spark；SocketAbstract This thesis focuses on the Internet in Shanghai quantity information for the user the choice of trouble problem, design a film based on the Spark cluster share social platform, using SpringBoot framework to build a Web platform, with the Spark cluster and collaborative filtering algorithm for calculation, data suggested users might like movies, filtering spam, users don't need to provide customers with personalized service, and realize real-time chat online Socket technology, make good user experience of online interaction, design the function of movie reviews, It enables users to quickly judge whether the movie is suitable for their own viewing through movie rating and other people's evaluation before selecting the movie to watch. The problem of user's choice is solved, and there is an obvious improvement between the intelligent recommendation and the traditional movie website.Key words： Recommendation System；Collaborative Filtering；Spark；Socket目 录第一章 绪论.............................................................................................11.1 研究背景和意义...............................................
