基于Spark集群的电影分享社交平台的设计与实现

AbstractThis thesis focuses on the Internet in Shanghai quantity information forthe user the choice of trouble problem,design a film based on the Sparkcluster share social platform,using SpringBoot framework to build a Webplatform,with the Spark cluster and collaborative filtering algorithm forcalculation,data suggested users might like movies,filtering spam,usersdon't need to provide customers with personalized service,and realizereal-time chat online Socket technology,make good user experience ofonline interaction,design the function of movie reviews,It enables users toquickly judge whether the movie is suitable for their own viewing throughmovie rating and other people's evaluation before selecting the movie towatch.The problem of user's choice is solved,and there is an obviousimprovement between the intelligent recommendation and the traditionalmovie website.Key words:Recommendation System;Collaborative Filtering:Spark;Socket