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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Datia, N. Moura-Pires, J. Cardoso, M. Pita, H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron., Telecommun. & Comput., ISEL, Lisboa (Datia, N.) |
| 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 |
| Starting Page | 151 |
| Ending Page | 158 |
| File Size | 8327281 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780393651 |
| DOI | 10.1109/EPIA.2005.341286 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-05 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | TV temporal visualization patterns Statistical analysis Humans Watches Predictive models people meter data Clustering data reduction Databases Neural networks Clustering algorithms Time factors Regression tree analysis |
| Content Type | Text |
| Resource Type | Article |
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