积分管理系统java源码-movie_recommand_system:本项目是离线电影推荐服务,分别进行基于统计的推荐和采用ALS算法进行协

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积分管理系统java源码 一、项目体系结构设计 1. 系统架构 业务数据库:采用MongoDB作为数据库 离线推荐部分 离线统计部分:采用 Spark Core + Spark SQL 实现对数据的统计处理 离线统计部分:采用 Spark Core + Spark MLlib 利用 ALS算法实现电影推荐 2. 项目数据流程 1. 系统初始化部分 通过 Spark SQL 将系统初始化数据加载到 MongoDB 中。 2. 离线推荐部分 离线统计:从MongoDB 中加载数据,将电影平均评分统计、电影评分个数统计、最近电影评分个数统计三个统计算法进行运行实现,并将计算结果回写到 MongoDB 中; 离线推荐:从MongoDB 中加载数据,通过 ALS 算法分别将【用 户推荐结果矩阵】、【影片相似度矩阵】回写到MongoDB 中; 3. 数据模型 Movie:电影数据表 Rating:用户评分表 User:用户表 二、基本环境搭建 项目主体用 Scala 编写,采用 IDEA 2020.1 作为开发环境进行项目编写,采用 maven 作为项目构建和管理工具。 1. 新建项目结构 新建普

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