Due to the limitation of broadcasting service, in general, TV programs with commercial advertisements are scheduled to be broadcasted by demographics. The uniformly provided commercial can not draw many TV viewers' interest, which is not correspondent to the goal of the commercial. In order to solve the problem, a novel target advertisement technique is proposed in this paper. The target advertisement is a personalized advertisement according to TV viewers' profile such as their age, gender, occupation, etc. However, viewers are usually reluctant to inform their profile to the TV program provider or the advertisement company because their information can be used on some bad purpose by unknown people. Our target advertisement technique estimates a viewer's profile using Normalized Distance Sum and Inner product method. In the experiment, our method is evaluated for estimating the TV viewers' profile using TV usage history provided by AC Neilson Korea. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Kim, M., Kang, S., Kim, M., & Kim, J. (2005). Target advertisement service using TV viewers’ profile inference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3767 LNCS, pp. 202–211). Springer Verlag. https://doi.org/10.1007/11581772_18
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