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Conference Paper
Design and Implementation of Targeted Advertising System Using Audience Measurement Information
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- Authors
- Sang-yun Lee, Sang-taick Park
- Issue Date
- 2013-11
- Citation
- International Conference on Information,Communication and Education Application (ICEA) 2013, pp.1-6
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose targeted advertising system using audience measurement information. In order to recommend an advertisement we propose inference algorithm of the preference for the genre using attention function, and calculate the preference based on Bayesian model. And we introduce the program genre classification scheme and the method of aggregating viewing history. In addition, we introduce a recommending system for an advertisement based on the user's group profile. Finally, we show that the proposed algorithm can infer user's preference through the experiment.
- KSP Keywords
- Audience measurement, Bayesian Model, Classification scheme, Genre classification, Group profile, Inference algorithm, Targeted Advertising, User's Preference, advertising system, design and implementation, measurement information