Research of Users’ VOD Viewing Behaviour Based on ARMA Model

DOI

10.2991/iea-15.2015.66How to use a DOI?

Keywords

viewing behavior analysis; video-on-demand service; time series analysis; the ARMA model.

Abstract

High-definition TV and interactive services bring a new viewing experience for the audience, and services such as video-on-demand and TV of yesterday have began to occupy a certain part of the viewing market gradually. Based on actual viewing records, this paper compares the differences between users’ viewing time on live TV, video-on demand service and TV of yesterday service and employs the ARMA model to analyze users’ VOD viewing behaviour. The results show that the overall users’ VOD viewing behaviour presents a certain periodicity and users are more likely to enjoy VOD service on weekends than workdays. And the time series of viewing length on VOD per day is short-time related, so previous week’s data can be used to predict future. The results of this paper can help TV network operators make strategy for business development.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiang Xi
AU  - Wang Yan
AU  - Chai Jian-ping
PY  - 2015/09
DA  - 2015/09
TI  - Research of Users’ VOD Viewing Behaviour Based on ARMA Model
BT  - Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)
PB  - Atlantis Press
SP  - 272
EP  - 274
SN  - 2352-5401
UR  - https://doi.org/10.2991/iea-15.2015.66
DO  - 10.2991/iea-15.2015.66
ID  - Xi2015/09
ER  -