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Indexed by:期刊论文

Date of Publication:2013-09-01

Journal:Tongxin Xuebao/Journal on Communications

Included Journals:EI、PKU、ISTIC、Scopus

Volume:34

Issue:SUPPL.2

Page Number:138-140+147

ISSN No.:1000436X

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.