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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Grid and Pervasive Computing - 5th International Conference, GPC 2010, Proceedings
Pages331-340
Number of pages10
DOIs
Publication statusPublished - 2010
Event5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010 - Hualien, Taiwan
Duration: 2010 May 102010 May 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6104 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Advances in Grid and Pervasive Computing, GPC 2010
Country/TerritoryTaiwan
CityHualien
Period10-05-1010-05-13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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