Rating Prediction in a Platform IPTV Through an ARIMA Model

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Provided by: Engg Journals Publications
Topic: Networking
Format: PDF
In this paper, the author describe the architecture and technology of an IPTV network and, present the direct causes that generate considerable in the delay time of channel switching to user perception. Also some techniques that have been developed to mitigate the delay in the zapping are listed. This paper proposes developing a time series model to model and predicts the behavior of the rating in the channels with more audience on an IPTV platform. The validation of the proposed model is performed from real data of the rating provided by telecommunications. The results show a low percentage of error in the prediction of the rating for one week and mitigation of channel zapping delay in 68% approximately.
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