Temporal Patterns of TV watching for Portuguese Viewers

Author

Datia, N. ; Moura-Pires, J. ; Cardoso, M. ; Pita, H.

Author_Institution

Dept. of Electron., Telecommun. & Comput., ISEL, Lisboa

fYear

2005

fDate

5-8 Dec. 2005

Firstpage

151

Lastpage

158

Abstract

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 tune 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

Keywords

behavioural sciences computing; pattern clustering; television; K-means algorithm; Portuguese viewer behavior; TV watching temporal patterns; audiometer systems; Clustering algorithms; Databases; Humans; Neural networks; Predictive models; Regression tree analysis; Statistical analysis; TV; Time factors; Watches; Clustering; TV; data reduction; people meter data; temporal visualization patterns;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial intelligence, 2005. epia 2005. portuguese conference on

Conference_Location

Covilha

Print_ISBN

0-7803-9366-X

Electronic_ISBN

0-7803-9366-X

Type

conf

DOI

10.1109/EPIA.2005.341286

Filename

4145945