Temporal patterns of TV watching for Portuguese viewers

被引：6
|
作者：
Datia, N. [1 ]
Moura-Pires, J. [1 ]
Cardoso, A. [1 ]
Pita, H. [1 ]
机构：
[1] ISEL, Dept Elect Telecommun & Comp, P-1959007 Lisbon, Portugal
来源：
2005 PORTUGUESE CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2005年
关键词：
clustering; data reduction; people meter data; temporal visualization patterns; TV;
D O I：
10.1109/EPIA.2005.341286
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Audiometer systems provide enormous amounts of detailed TV watching data. Several relevant and interdependent factors may influence TV viewers' behavior. In this work we focus on the time factor and derive Temporal Patterns of TV watching, based on panel data. Clustering base attributes are originated from 1440 binary minute-related attributes, capturing the TV watching status (watch/not watch). Since there are around 2500 panel viewers a data reduction procedure is first performed. K-Means algorithm is used to obtain daily clusters of viewers. Weekly patterns are then derived which rely on daily patterns. The obtained solutions are tested for consistency and stability. Temporal TV watching patterns provide new insights concerning Portuguese TV viewers' behavior.
引用
收藏
页码：151 / 158
页数：8
相关论文
共 50 条
12345