DocumentCode
3164434
Title
A High-Dimensional Set Top Box Ad Targeting Algorithm Including Experimental Comparisons to Traditional TV Algorithms
Author
Kitts, Brendan ; Dyng Au ; Burdick, Bill
Author_Institution
PrecisionDemand, Seattle, WA, USA
fYear
2013
fDate
7-10 Dec. 2013
Firstpage
370
Lastpage
378
Abstract
We present a method for targeting ads on television that works on today´s TV systems. The method works by mining vast amounts of Set Top Box data, as well as advertiser customer data. From both sources the system builds demographic profiles, and then looks for media that have the highest match per dollar to the customer profile. The method was tested in four live television campaigns, comprising over 22,000 airings, and we present experimental results.
Keywords
advertising; data mining; digital television; set-top boxes; TV algorithms; advertiser customer data mining; customer profile; demographic profiles; high-dimensional set-top box ad targeting algorithm; live television campaigns; set-top box data mining; Advertising; Educational institutions; Media; Sociology; Statistics; TV; Vectors; advertising; set top box; targeting; television;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining (ICDM), 2013 IEEE 13th International Conference on
Conference_Location
Dallas, TX
ISSN
1550-4786
Type
conf
DOI
10.1109/ICDM.2013.169
Filename
6729521
Link To Document