Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1567-4223(02)00023-6
Title: Handy broker: An intelligent product-brokering agent for m-commerce applications with user preference tracking
Authors: Guan, S. 
Ngoo, C.S.
Zhu, F.
Keywords: Genetic algorithms
m-Commerce
Product-brokering agent
Profiling
Issue Date: 2002
Source: Guan, S.,Ngoo, C.S.,Zhu, F. (2002). Handy broker: An intelligent product-brokering agent for m-commerce applications with user preference tracking. Electronic Commerce Research and Applications 1 (3-4) : 314-330. ScholarBank@NUS Repository. https://doi.org/10.1016/S1567-4223(02)00023-6
Abstract: One of the potential applications for agent-based systems is m-commerce. A lot of research has been done on making such systems intelligent to personalize their services for users. In most systems, user-supplied keywords are generally used to help generate profiles for users. In this paper, an evolutionary ontology-based product-brokering agent has been designed for m-commerce applications. It uses an evaluation function to represent a user's preference instead of the usual keyword-based profile. By using genetic algorithms, the agent tracks the user's preferences for a particular product by tuning some parameters inside its evaluation function. A prototype called 'Handy Broker' has been implemented in Java and the results obtained from our experiments look promising for m-commerce use. © 2002 Published by Elsevier Science B.V.
Source Title: Electronic Commerce Research and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/68266
ISSN: 15674223
DOI: 10.1016/S1567-4223(02)00023-6
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