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. © IFIP International Federation for Information Processing 2005.
Cite
CITATION STYLE
Kurkovsky, S., Zanev, V., & Kurkovsky, A. (2005). SMMART, A context-a ware mobile marketing application: Experiences and lessons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3823 LNCS, pp. 141–150). https://doi.org/10.1007/11596042_15
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