Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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A Web-Based IPTV Content Syndication System for Personalized Content Guide

  • Yang, Jinhong (Department of Information and Communications Engineering at Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Park, Hyojin (Department of Information and Communications Engineering at Korea Advanced Institute of Science and Technology (KAIST)) ;
  • Lee, Gyu Myoung (Department of Networked Systems and Security at Liverpool John Moores University) ;
  • Choi, Jun Kyun (Department of Electrical Engineering at KAIST)
  • Received : 2012.11.29
  • Accepted : 2014.11.19
  • Published : 2015.02.28
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Abstract

In this paper, we propose a web-based content syndication system in which users can easily choose Internet protocol television (IPTV) contents. This system generates personalized content guide to provide a list of IPTV contents with respect to users' interests and statistics information of their online social community. For this, IPTV contents and relevant metadata are collected from various sources and transformed. Then, the service and content metadata are processed by user metadata including audience measurement and community metadata. The metadata flows are separated from content flows of transport network. The implementation of IPTV content syndication system demonstrates how to arrange IPTV contents efficiently from content providers to the end user's screen. We also show that the user metadata including online community information are important for the system's performance and the user's satisfaction.

Keywords

Acknowledgement

Grant : 미래전자통신 인재양성사업단

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