Abstract
IPTV has been widely deployed throughout the world, bringing significant advantages to users in terms of the channel offering, video on demand, and interactive applications. TV set-top boxes that are deployed in modern IPTV systems can be thought of as capable sensor nodes that collect vast amounts of data, representing both the user activity and the quality of service delivered by the system itself. In this paper we focus on the user-generated events and analyze how the data stream of channel change events received from the entire IPTV network can be mined to obtain insight about the content. We demonstrate that IPTV network data can be used as a measure for users' opinion. The proposed method analyses TV content and measures viewer's response. Finally, the method is demonstrated on different scenarios to illustrate the framework and motivate further research.
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