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.
Original language | English |
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Pages (from-to) | 314-330 |
Number of pages | 17 |
Journal | Electronic Commerce Research and Applications |
Volume | 1 |
Issue number | 3-4 |
DOIs | |
Publication status | Published - 2002 |
Externally published | Yes |
Keywords
- Genetic algorithms
- Product-brokering agent
- Profiling
- m-Commerce