Channels Switch Sequences of 300 IPTV viewers in a month
- Citation Author(s):
- Submitted by:
- Can Yang
- Last updated:
- DOI:
- 10.21227/H27376
- Data Format:
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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, th next channel number, the date of the month, respectively.
The first column, the ID code of a viewter, ranks 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, th next channel number, the date of the month, respectively.
The first column, the ID code of a viewter, ranks 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. The viewing duration of each record in the file is more than
10 seconds and less than 3600 seconds.
