DocumentCode
3710331
Title
Audience´s viewing behavior analysis for inferencing consumer preferences
Author
Sang-Yun Lee;Jeong-Woo Son;Sun-Joong Kim;Won Ryu
Author_Institution
Electronics and Telecommunications Research Institute, Daejeon, Korea
fYear
2015
Firstpage
843
Lastpage
845
Abstract
We show through experiment results and analysis that consumer preferences can be inferenced from the viewing behavior information extracted with a people meter. Viewing behavior data used in experiment are TV viewing history of 6 months for consumers more than 1,000 families. And, we present that consumers have preferences for a broadcaster, a genre, and viewing time zone by calculating and analyzing their occupancies based on these information. Therefore, consumer´s preference can be inferenced form audience´s viewing behavior.
Keywords
"TV","Advertising","Data mining","History","Big data","Market research","Broadcasting"
Publisher
ieee
Conference_Titel
Information and Communication Technology Convergence (ICTC), 2015 International Conference on
Type
conf
DOI
10.1109/ICTC.2015.7354681
Filename
7354681
Link To Document