CPRS: A cloud-based program recommendation system for digital TV platforms

Lai Chin-Feng, Chang Jui-Hung, Hu Chia-Cheng, Huang Yueh-Min, Chao Han-Chieh

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Traditional electronic program guides (EPGs) cannot be used to find popular TV programs. A personalized digital video broadcasting - terrestrial (DVB-T) digital TV program recommendation system is ideal for providing TV program suggestions based on statistics results obtained from analyzing large-scale data. The frequency and duration of the programs that users have watched are collected and weighted by data mining techniques. A large dataset produces results that best represent a viewer's preferences of TV programs in a specific area. To process such a massive amount viewer preference data, the bottleneck of scalability and computing power must be removed. In this paper, an architecture for a TV program recommendation system based on cloud computing and a map-reduce framework, the map-reduce version of k-means and the k-nearest neighbor (kNN) algorithm, is introduced and applied. The proposed architecture provides a scalable and powerful backend to support the demand of large-scale data processing for a program recommendation system.

原文English
主出版物標題Advances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings
頁面331-340
頁數10
DOIs
出版狀態Published - 2010
事件5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 - Hualien, Taiwan
持續時間: 2010 5月 102010 5月 13

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6104 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010
國家/地區Taiwan
城市Hualien
期間10-05-1010-05-13

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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