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Channels Switch Sequences of 300 IPTV viewers in a month

Citation Author(s):
Submitted by:
Can Yang
Last updated:
DOI:
10.21227/H2396N
Data Format:
Research Article Link:
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Abstract

This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014. There are 4 columns in the file, which represent viewer ID, the current channel number, the next channel number, the date of the month, respectively. The first column, the ID code of a viewer, ranks in descent with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

 

 

 

 

Instructions:

This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014. 

There are 4 columns in the file, which represent viewer ID, the current channel number, the next channel number, the date of the month, respectively. 

The first column, the ID code of a viewer, ranks in descent with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger the ID is.

In a day, the rows are time series and generated step by step as the real watching tv behavior.