SMMART, a context-aware mobile marketing application: experiences and lessons

Authors:
Stan Kurkovsky;Vladimir Zanev;Anatoly Kurkovsky
Affiliations:
Computer Science Department, Central Connecticut State University, New Britain, CT;Department of Computer Science, Columbus State University, Columbus, GA;Department of Mathematics, Physics and Computer Science, University of the Sciences in Philadelphia, Philadelphia, PA
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

A new class of m-commerce applications is emerging due to the unique features of handheld devices, such as mobility, personalization and location-awareness. This paper presents SMMART, a context-aware, adaptive and personalized m-commerce application designed to deliver targeted promotions to the users of mobile devices. SMMART adapts to changing interests of its user by monitoring his or her shopping habits and guarantees the privacy of its users by not transmitting any personally identifiable information to the retailers. We describe our experiences of building and evaluating a fully functional prototype of SMMART implemented for Pocket PCs.