In order to improve the recommendation efficiency of collaborative filtering algorithm, this study proposes a collaborative filtering parallelization algorithm based on Hadoop platform. The traditional user-based collaborative filtering is carried out under Hadoop platform for MapReduce Programming model, to achieve parallelization. By using the MovieLens common data set to improve the comparison before and after the algorithm, verify that the parallel collaborative filtering efficiency is higher, and also more suitable for large-scale data recommendation.