Abstract:
Mobile advertising and profiled advertising has become major discussion topics recently. With rapid development of mobile technology in the last decade, many e-business organizations are trying to combine the latest mobile technologies with customer profiling in order to increase the reachability of their product information among the target market. This paper presents a potential mechanism to enhance such mobile advertising by improving existing user profile methods. The main goal of this research is to introduce a novel user profiling mechanism that can be used to improve the productivity of a mobile advertising system. The proposed system is capable of providing additional information such as video, audio, etc. about advertisements to the user while giving profile-based and proximity suggestions.
