Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

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

Lee, GM (2015) A Web-based IPTV Content Syndication System for Personalized Content Guide. Journal of Communications Networks, 17 (1). pp. 67-74. ISSN 1229-2370

CANSS-gmlee3.pdf - Accepted Version

Download (763kB) | Preview


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.

Item Type: Article
Additional Information: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 08 Jan 2015 08:48
Last Modified: 04 Sep 2021 14:45
URI: https://researchonline.ljmu.ac.uk/id/eprint/279
View Item View Item