基于云计算的视频推荐系统的设计  

Design of video recommender system based on cloud computing

作　　者：李英壮[1] 高拓[1] 李先毅[1] 

机构地区：[1]大连理工大学网络与信息化中心,辽宁大连116024

出　　处：《通信学报》2013年第S2期138-140,147,共4页Journal on Communications

摘　　要：通过对现有视频网站的调查研究,发现大部分都存在信息过载的问题。所以对视频网站来说拥有推荐系统是有必要的。通过对现有视频推荐系统的分析研究,利用开源云计算技术—Hadoop,及其部分相关组件Hive、Hbase等,设计了一种基于云计算的个性化视频推荐系统,此系统仅适用于以专业视频为主的网站。Through the survey and research of the existing video sites,some video sites face the problem of information overload. So it is necessary for the video sites to have a recommender system. Through the study of the existing video recommender system, using open source cloud computing technologies—Hadoop, and some of its related components such as Hive and Hbase, a personalized video recommendation system based on cloud platform was designed. The system is only applicable to professional video-based website.

关 键 词：信息过载 视频 推荐系统 云计算 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]