关键词: 影片推荐系统, Spark平台, 上下文信息, 混合推荐

Abstract: Slow response and recommended movies inconsistent with the users’ requests are key urgent problems in current movie recommendation system. To address this problem, a context-aware movie hybrid recommendation method on Spark platform is proposed. The method takes advantage of Spark, a distributed parallel computing technology, to improve retrieval and calculation speed for mass data, which reduces the response time of the recommendation system. At the same time, it fuses the user’s context information and ALS（Alternating Least Squares of collaborative filtering） to a hybrid recommendation method, which improves the recommendation accuracy of system. The results show that our method has a better performance than others.

Key words: movie recommendation system, Spark platform, context aware, hybrid recommendation