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http://bura.brunel.ac.uk/handle/2438/1131
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DC Field | Value | Language |
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dc.contributor.author | Guan, SU | - |
dc.contributor.author | Ngoo, CS | - |
dc.contributor.author | Zhu, F | - |
dc.date.accessioned | 2007-08-07T10:26:07Z | - |
dc.date.available | 2007-08-07T10:26:07Z | - |
dc.date.issued | 2002 | - |
dc.identifier.citation | Electronic Commerce and Research Applications. 1 (2-4) 314-330 | en |
dc.identifier.issn | 1567-4223 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1131 | - |
dc.description.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. | en |
dc.format.extent | 1204256 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | en |
dc.subject | Product-brokering agent | en |
dc.subject | m-Commerce | en |
dc.subject | Profiling | en |
dc.subject | Genetic algorithms | en |
dc.title | HandyBroker - An intelligent product-brokering agent for M-commerce applications with user preference tracking | en |
dc.type | Research Paper | en |
dc.identifier.doi | https://doi.org/10.1016/s1567-4223(02)00023-6 | - |
Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 1.18 MB | Adobe PDF | View/Open |
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