通信学报
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李英壮,高拓,李先毅
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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。
Abstract: 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.
李英壮,高拓,李先毅. 基于云计算的视频推荐系统的设计[J]. 通信学报.
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https://www.infocomm-journal.com/txxb/CN/Y2013/V34/IZ2/26