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http://bura.brunel.ac.uk/handle/2438/1125
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DC Field | Value | Language |
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dc.contributor.author | Guan, SU | - |
dc.contributor.author | Chan, TK | - |
dc.contributor.author | Zhu, F | - |
dc.date.accessioned | 2007-08-06T13:46:59Z | - |
dc.date.available | 2007-08-06T13:46:59Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Electronic Commerce and Research Applications. 4 (4) 377-394 | en |
dc.identifier.issn | 1567-4223 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/1125 | - |
dc.description.abstract | Product recommendation and preference tracking systems have been adopted extensively in e-commerce businesses. However, the heterogeneity of product attributes results in undesired impediment for an efficient yet personalized e-commerce product brokering. Amid the assortment of product attributes, there are some intrinsic generic attributes having significant relation to a customer’s generic preference. This paper proposes a novel approach in the detection of generic product attributes through feature analysis. The objective is to provide an insight to the understanding of customers’ generic preference. Furthermore, a genetic algorithm is used to find the suitable feature weight set, hence reducing the rate of misclassification. A prototype has been implemented and the experimental results are promising. | en |
dc.format.extent | 677538 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | en |
dc.subject | Generic preference | en |
dc.subject | e-Commerce | en |
dc.subject | Generic attributes | en |
dc.subject | Feature analysis | en |
dc.subject | Genetic algorithm | en |
dc.title | Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis | en |
dc.type | Research Paper | en |
Appears in Collections: | Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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ECRA 260 Evolutionary Intelligent Agents for e-Commerce - Generic Preference Detection with Feature Analysis.pdf | 661.66 kB | Adobe PDF | View/Open |
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