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https://doi.org/10.1145/334744...
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Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 21 Oct 2019Embargo end date: 21 Oct 2019Publisher:ACMJournal:Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and DeliveryFunded by:EC | ReTV
Authors: Nixon, Lyndon; Ciesielski, Krzysztof; Philipp, Basil;

doi: 10.1145/3347449.3357487 , 10.5281/zenodo.3404792 , 10.5281/zenodo.3404791

Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency

Abstract

By automatically adapting TV content for publication on secondary channels, we aim to increase user engagement and at the same time reduce the manual effort for broadcasters. We present a system architecture for automatic content adaptation and two distinct use cases built on top of it.

Keywords

recommendation, automatic content adaptation, television

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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4
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11
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