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 theuser's preferences of some mobile applications were predicted and the mobile applications were recommendedto the user. The algorithm has better recommendation accuracy.
出处
《鲁东大学学报(自然科学版)》
2015年第4期309-312,共4页
Journal of Ludong University:Natural Science Edition
基金
福建省中青年教师教育科研项目(FJ13191)
关键词
协同过滤
移动APP
推荐算法
collaborative filtering
mobile application
recommendation algorithm