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 :
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