Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2013-09-01

Journal: Tongxin Xuebao/Journal on Communications

Included Journals: Scopus、ISTIC、PKU、EI

Volume: 34

Issue: SUPPL.2

Page Number: 138-140+147

ISSN: 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.