recommendMoteur:电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎

movies kafka spark spark-streaming

项目名称电影推荐系统——烂豆瓣项目目标打开电影网站，脑袋就开始发大，动作片，爱情片，科幻片，中国的，欧美的，日韩的，到底哪一部最合自己的口味？茫茫影海，想要找到自己的“真爱”，谈何容易？我们知道你们找得辛苦，所以我们为你量身推荐电影！项目任务任务具体任务负责人工作量数据集负责完成收集电影、用户以及评分数据集，并对数据进行清洗，建立新的数据结构。建立并维护系统数据库。推荐引擎负责完成推荐系统，包括基于用户历史数据的离线推荐系统以及收集用户实时行为数据，进行精准的实时推荐。 API服务负责完成基于烂豆瓣各产品，面向开发者的开放接口（API）服务。在这里，开发者可以接入烂豆瓣电影推荐的优质内容，以及基于各种兴趣的用户关系。 web应用负责完成一个电影推荐web应用，利用开发接口API以及酷炫的web前端页面，实现用户与推荐系统的完美交互。数据集本系统所需要的电影数

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