Zobrazeno 1 - 9
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pro vyhledávání: '"Dyng Au"'
Autor:
Brendan Kitts, Dyng Au
Publikováno v:
ICDM Workshops
Television is the largest advertising category in the United States with 70 billion spent by advertisers per year. We compare a variety of different targeting algorithms, ranging from the traditional age-gender targeting methods employed based on Nie
Autor:
Brendan Kitts, John Wadsworth-Drake, Michael Bardaro, Jonathan M. Borchardt, Sawin Lee, Al Lee, Craig Schwartz, John Sobieski, Dyng Au
Publikováno v:
ADKDD@KDD
Consumers are increasingly using internet-connected devices while watching television. This paper will show that it is possible to measure web activity bursts that peak about 13 seconds after the end of traditional TV ad broadcasts. By measuring this
Publikováno v:
ICDM Workshops
This paper will show how machine learning and data visualization techniques are being used to execute real television ad buys. We present an innovative data visualization tool which allows users to filter, histogram, and sort so as to identify the te
Publikováno v:
ICDM
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642403187
PAKDD Workshops
PAKDD Workshops
Real-time conversion tracking is the holy grail of TV advertisers. We show how to use thousands of tiny areas available via commercial cable and satellite systems to create low cost tracking cells. These areas are created as "mirrors" of a national c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1ab2b361f59c617e5579343d2b7152d
https://doi.org/10.1007/978-3-642-40319-4_9
https://doi.org/10.1007/978-3-642-40319-4_9
Publikováno v:
ICDM
This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have ca
Autor:
Julie P. Harmon, Jing Li, Yijiang Lu, Patricia Anne O. Muisener, Bin Chen, Lanetra M. Clayton, Dyng Au, Martin Cinke
Publikováno v:
MRS Proceedings. 856
We characterize the electric properties of single-walled carbon nanotube (SWNT) dispersed in the polymethyl methacrylate (PMMA) composites. In the melt-blended sample, the SWNTs – originally semiconducting – became predominantly metallic. The int
Publikováno v:
2010 IEEE International Conference on Data Mining Workshops (ICDMW); 2010, p1391-1399, 9p
Publikováno v:
2010 IEEE 10th International Conference on Data Mining (ICDM); 2010, p881-886, 6p