A Web-Based IPTV Content Syndication System for Personalized Content Guide

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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.
Publisher
KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
Issue Date
2015-02
Language
English
Article Type
Article
Citation

JOURNAL OF COMMUNICATIONS AND NETWORKS, v.17, no.1, pp.67 - 74

ISSN
1229-2370
DOI
10.1109/JCN.2015.000011
URI
http://hdl.handle.net/10203/198253
Appears in Collection
EE-Journal Papers(저널논문)
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