An Intelligent Context-Aware Agent Architecture for Personalized Mobile Commerce Applications

International Journal of Computer Science and Technology | Vol. 5, No. 12, December 2003 | pp. 89–96

DOI: 10.46882/2003/IJCST/000052

Article Type: Original Research Paper

Title: An Intelligent Context-Aware Agent Architecture for Personalized Mobile Commerce Applications

Names of Authors: Marcello Rossi¹, Amina Bekele²

Authors’ Affiliations: ¹Department of Automation Engineering, University of Bologna, Italy; ²Department of Information Science, Addis Ababa University, Ethiopia

Abstract: The growing adoption of wireless handheld devices creates new opportunities for personalized mobile commerce, yet delivering relevant, timely service matches remains problematic due to limited display sizes. This paper presents an intelligent context-aware multi-agent architecture designed to push tailored product recommendations directly to mobile shoppers. The engine parses user demographic records, current GPS location parameters, and real-time local weather profiles to dynamically construct individualized preference trees. Field experiments involving 200 active users demonstrated that our personalization model yielded a 22.4% higher click-through conversion rate compared to non-contextual advertising networks. The runtime tracking system processes complex contextual rules in under 18 ms, minimizing processing demands on embedded mobile hardware platforms. This framework sets a blueprint for modern location-based marketing tools.

Keywords: Mobile Commerce, Multi-Agent Systems, Context-Aware Computing, Personalization Engines, Location-Based Services

Manuscript Timeline: Received: August 18, 2003; Revised: October 14, 2003; Accepted: November 11, 2003; Published: December 12, 2003

Citation: Rossi, M., & Bekele, A. (2003). An Intelligent Context-Aware Agent Architecture for Personalized Mobile Commerce Applications. International Journal of Computer Science and Technology, 5(12), 89–96.

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