一种协同过滤的移动AP P推荐算法的设计

摘要

根据用户对移动APP的评价信息,设计了一种基于用户的协同过滤移动APP推荐算法,并构造仿真数据集进行实证研究。实验结果表明,该算法能够预测用户对这些移动APP的偏好,并向用户推荐移动APP,具有较好的推荐精确度。%According to the users’ evaluation information of mobile application,a collaborative filtering recom-mendation algorithm based on users was designed for the mobile application, and the experiments were per-formed with the simulation dataset. The experimental results show that the algorithm achieved the goal that the user’s preferences of some mobile applications were predicted and the mobile applications were recommended to the user. The algorithm has better recommendation accuracy.