摘要
基于实时推荐的移动健身管理平台,将健身视频与健身管理结合,同时满足用户学习健身方法的需求和科学管理健身数据的需求。该系统实现了基于Android平台的移动健身管理应用,具备科学记录用户健身和饮食数据的功能和视频分享功能。通过对目前已有推荐系统算法的研究,根据系统和开发平台的特点,设计出一种实时视频推荐算法,然后基于目前流行的分布式流处理计算框架ApacheStorm实现了实时视频推荐引擎,移动健身管理应用提供视频实时推荐服务。
On the basis of the mobile fitness management platform based on real-time recommendation, the combination of fitness video and fitness management can simultaneously meet the requirements of learning fitness method and scientific fitness data management for users. The system realized the application of mobile fitness management based Android platform, and has the functions of scientifically user fitness and diet data recording, and video sharing. According to the study of the available recommendation system algorithm and characteristics of system and development platform, a real-time video recommendation algorithm was designed. The real-time video recommendation engine was realized based on the popular distributed stream processing computing framework ApacheStorm, in which the mobile fitness management application provides the video real-time recommendation service.
作者
孙凯涛
SUN Kaitao(College of Application Engineering, Henan University of Science and Technology, Sanmenxia 472000, Chin)
出处
《现代电子技术》
北大核心
2016年第21期132-136,共5页
Modern Electronics Technique
关键词
健身管理
视频
实时推荐
安卓
fitness management
video
real-time recommendation
Android