'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
In this paper, we propose a web-based content syndication system in which users can easily choose IPTV contents. This system generates personalized content guide to provide a list of IPTV contents with respect to user’s 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
