Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.