Mobile advertisement system using data push scheduling based on user preference

In this paper, we present mobile advertisement system (MAS) using data push scheduling scheme based on user´s content preference model. To schedule advertising operation effectively, we analyzed user´s preference of content over time. The result of analysis shows consistent characteristics. And result is applied to build preference model for ad content selection at a given time. Using user preference model, service enabler supports push message scheduling for ad content in systematic manner. Also, to show how to cope with the spamming issue of push based advertisement, push message filtering is introduced to minimize the risk of implicit spamming. As experimental result, we show simulation result of data push scheduling scheme for 7 ad contents, which is resulted from user´s preference, and prototype of mobile widget application facilitating proposed advertising service scenario. Widget application supports advertisement choice function with respect to the pre-set configuration and services advertising information matched to user´s intention.