a web based iptv content syndication system for personalized content guide

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Presented by : Priagung Khusumanegara

A Web-Based IPTV Content Syndication System for Personalized

Content Guide

Authors : Jinhong Yang, Hyojin Park, Gyu Myoung Lee, and Jun Kyun Choi

Journal of Communications and Networks Vol.17, No.1, February 2015

Introduction

2

• Nowadays, users of television is provided variety of contents a day by IPTV provider– A big challenge : how to manage the contents in order that users can

easily choose the contents

• A web-based IPTV content syndication– Provide personalized services through the syndication process on

various types of content using web technologies.

3

• What is syndication?– Syndication : “act of process of syndicating”– Syndicating : to publish simultaneously, or supply for simultaneous

publication, in a number of newspapers or others periodicals in different places.

Web-Based Content Syndication System

4

Web-Based Content Syndication System (Cont’d)

1. Syndication concept can be applied in IPTV service as well2. IPTV also publishes the same content simultaneously on multiple user’s screen

Why used syndication concept?

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• Content syndicator is marked as an agent that interconnect between content providers and users.

• Content providers provide contents and get revenue for content distribution, while users receive customized content and pay money for services.

• Content syndication is the controlled placement of the same content on multiple partnering destinations in order to provide benefits to content creators.

Content Syndication Model for IPTV Service

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• User metadata, service metadata as well as content meta data are used in the syndication process for IPTV services.

• The syndicator for IPTV services perform:– Content metadata aggregation– Collecting and transforming of metadata– Filtering and packaging functionalities using 3 types of metadata to an IPTV user.

• User receives personalized content guide and consumes IPTV contents according to user metadata including audience measurement data.

Metadata Generation and Consumption for Content Syndication Process

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Functional Architecture of IPTV Content Syndication System

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Personalized Content Guide Generation Process

9

Experiments and Performance Results

10

Experiments and Performance Results

(Cont’d)

11

Conclusion

• User metadata and community metadata can influence the accuracy of the system

• In their experiment results, the impact of user meta data is significant when users and social community have similarity and familiarity on their preferences

• They proposed the web-based content syndication system for personalized content guide that enables syndication packaging on all categories of contents according to metadata.

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