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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1131

Title: HandyBroker - An intelligent product-brokering agent for M-commerce applications with user preference tracking
Authors: Guan, SU
Ngoo, CS
Zhu, F
Keywords: Product-brokering agent
m-Commerce
Profiling
Genetic algorithms
Publication Date: 2002
Publisher: Elsevier
Citation: Electronic Commerce and Research Applications. 1 (2-4) 314-330
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 looks promising for m-commerce use.
URI: http://bura.brunel.ac.uk/handle/2438/1131
ISSN: 1567-4223
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering

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