Design of video recommender system based on cloud computing
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,a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.026/ |
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| _version_ | 1841539762455838720 |
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| author | Ying-zhuang LI Tuo GAO Xian-yi LI |
| author_facet | Ying-zhuang LI Tuo GAO Xian-yi LI |
| author_sort | Ying-zhuang LI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bea4ff03d35e4906ba8bbe527419a2db |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-bea4ff03d35e4906ba8bbe527419a2db2025-01-14T06:42:19ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-09-013413814059678296Design of video recommender system based on cloud computingYing-zhuang LITuo GAOXian-yi LIThrough 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.026/information overloadvideorecommender systemcloud computing |
| spellingShingle | Ying-zhuang LI Tuo GAO Xian-yi LI Design of video recommender system based on cloud computing Tongxin xuebao information overload video recommender system cloud computing |
| title | Design of video recommender system based on cloud computing |
| title_full | Design of video recommender system based on cloud computing |
| title_fullStr | Design of video recommender system based on cloud computing |
| title_full_unstemmed | Design of video recommender system based on cloud computing |
| title_short | Design of video recommender system based on cloud computing |
| title_sort | design of video recommender system based on cloud computing |
| topic | information overload video recommender system cloud computing |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.026/ |
| work_keys_str_mv | AT yingzhuangli designofvideorecommendersystembasedoncloudcomputing AT tuogao designofvideorecommendersystembasedoncloudcomputing AT xianyili designofvideorecommendersystembasedoncloudcomputing |