Rating prediction in a platform IPTV through an ARIMA Model

Ricardo Ferro, Cesar Hernández, Gabriel Puerta

Research output: Contribution to journalArticle

  • 1 Citations

Abstract

This document describes 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 work propose developing an ARIMA time series model to model and predict the behaviour 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 UNE 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.

LanguageEnglish
Pages2018-2029
Number of pages12
JournalInternational Journal of Engineering and Technology
Volume7
Issue number6
Publication statusPublished - Jan 1 2016

Fingerprint

IPTV
Telecommunication
Time series
Time delay

Keywords

  • ARIMA
  • Channel Zapping Delay
  • Forecasting
  • IPTV
  • Multicast
  • Network
  • Rating

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rating prediction in a platform IPTV through an ARIMA Model. / Ferro, Ricardo; Hernández, Cesar; Puerta, Gabriel.

In: International Journal of Engineering and Technology, Vol. 7, No. 6, 01.01.2016, p. 2018-2029.

Research output: Contribution to journalArticle

@article{a4c6061edca9490a92f45c5676f1545f,
title = "Rating prediction in a platform IPTV through an ARIMA Model",
abstract = "This document describes 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 work propose developing an ARIMA time series model to model and predict the behaviour 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 UNE 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.",
keywords = "ARIMA, Channel Zapping Delay, Forecasting, IPTV, Multicast, Network, Rating",
author = "Ricardo Ferro and Cesar Hern{\'a}ndez and Gabriel Puerta",
year = "2016",
month = "1",
day = "1",
language = "English",
volume = "7",
pages = "2018--2029",
journal = "International Journal of Engineering and Technology",
issn = "0975-4024",
publisher = "Engg Journals Publications",
number = "6",

}

TY - JOUR

T1 - Rating prediction in a platform IPTV through an ARIMA Model

AU - Ferro, Ricardo

AU - Hernández, Cesar

AU - Puerta, Gabriel

PY - 2016/1/1

Y1 - 2016/1/1

N2 - This document describes 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 work propose developing an ARIMA time series model to model and predict the behaviour 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 UNE 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.

AB - This document describes 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 work propose developing an ARIMA time series model to model and predict the behaviour 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 UNE 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.

KW - ARIMA

KW - Channel Zapping Delay

KW - Forecasting

KW - IPTV

KW - Multicast

KW - Network

KW - Rating

UR - http://www.scopus.com/inward/record.url?scp=84954421788&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954421788&partnerID=8YFLogxK

M3 - Article

VL - 7

SP - 2018

EP - 2029

JO - International Journal of Engineering and Technology

T2 - International Journal of Engineering and Technology

JF - International Journal of Engineering and Technology

SN - 0975-4024

IS - 6

ER -