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- W2486743145 abstract "One potential application for agent-based systems has been in the area of m-commerce. In most current systems, user-supplied keywords are normally used to generate a profile for the user. In this chapter, a design for an evolutionary ontology-based product-brokering agent for m-commerce applications is proposed. It uses an evaluation function to represent the user’s preference instead of the usual keyword-based profile. By using genetic algorithms, the agent tries to track the user’s preferences for a particular product by tuning some parameters inside. A prototype was implemented in Java, and the results obtained from our experiments look promising." @default.
- W2486743145 created "2016-08-23" @default.
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- W2486743145 date "2004-01-01" @default.
- W2486743145 modified "2023-09-22" @default.
- W2486743145 title "Intelligent Product Brokering and User Preference Tracking" @default.
- W2486743145 doi "https://doi.org/10.4018/978-1-59140-184-1.ch007" @default.
- W2486743145 hasPublicationYear "2004" @default.
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