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Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 6 | Page No.: 1186-1193
DOI: 10.3923/itj.2011.1186.1193
 
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Design of a Shopping Assistance Agent System

Ming-Yuan Shieh, Juing-Shian Chiou and Chia-Jung Hu

Abstract:
This study has proposed an agent system which consists of a humanized interface, a shopping behavior analysis system and an intelligent consulter system, for shopping assistance. Consumers could make an appropriate decision fastly from a plethora of cyber-information through the shopping assistant agent. The humanized interface which is designed as similar as a clever salesclerk, aims to provide the fittest purchasing suggestion for the user. The user will be asked to set up their personal profile initially; then the GA-based behavior analysis subsystem will infer the shopping tendency of the user according to his/her past consumption records and related consumer information. The consulter subsystem consists of a fitting interactive machine to lead the user to conclude a satisfactory transaction. From the proposed experimental results, it is seen that the intelligent agent system not only improves the shopping quality but also increases purchasing desires of consumers.
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How to cite this article:

Ming-Yuan Shieh, Juing-Shian Chiou and Chia-Jung Hu, 2011. Design of a Shopping Assistance Agent System. Information Technology Journal, 10: 1186-1193.

DOI: 10.3923/itj.2011.1186.1193

URL: https://scialert.net/abstract/?doi=itj.2011.1186.1193

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