A generic, personalized electronic program guide system for accessing multiple online TV providers

Emad Al-Mohammed, N. Linge
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Abstract

Television viewing is changing with a growing trend towards online consumption of content and a proliferation of providers. This is now starting to bring into question the future of the traditional television channel as the program itself becomes more dominant. However, this, in turn, poses a problem for the viewer in that it will become increasingly difficult to locate those programs of interest across such a broad range of providers. While broadcasters and content providers currently offer an Electronic Program Guide (EPG) to allow viewers to browse through their offerings, these are limited in scope. This is warranting an EPG that can truly work across all online providers. This paper introduces a new architecture for EPGs that has been developed to meet this challenge. A key feature of this architecture is the way in which it can access content from multiple providers and be personalized depending on viewer's preferences and interests, viewing device, internet connection speed and their social network interactions. The results that have been included shows that the system is able to communicate with different content sources and recommend a list of programs that match the user viewing pattern and their friends' recommendations within the social networks.
用于访问多个在线电视提供商的通用、个性化电子节目指南系统
随着内容在线消费的增长趋势和提供商的激增,电视观看正在发生变化。现在,随着节目本身变得越来越占主导地位,传统电视频道的未来开始受到质疑。然而,这反过来又给观众带来了一个问题,因为在如此广泛的供应商中找到感兴趣的节目将变得越来越困难。虽然广播公司和内容提供商目前提供电子节目指南(EPG),让观众浏览他们提供的节目,但范围有限。这保证了EPG能够真正跨所有在线提供商工作。本文介绍了为应对这一挑战而开发的一种新的epg架构。这种架构的一个关键特征是,它可以访问来自多个提供商的内容,并根据观看者的偏好和兴趣、观看设备、互联网连接速度和他们的社交网络互动进行个性化。所包含的结果表明,该系统能够与不同的内容来源进行通信,并在社交网络中推荐与用户观看模式和他们的朋友推荐相匹配的节目列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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