Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.elerap.2005.07.002
DC FieldValue
dc.titleEvolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis
dc.contributor.authorGuan, S.-U.
dc.contributor.authorChan, T.K.
dc.contributor.authorZhu, F.
dc.date.accessioned2014-06-17T02:48:44Z
dc.date.available2014-06-17T02:48:44Z
dc.date.issued2005
dc.identifier.citationGuan, S.-U., Chan, T.K., Zhu, F. (2005). Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis. Electronic Commerce Research and Applications 4 (4) : 377-394. ScholarBank@NUS Repository. https://doi.org/10.1016/j.elerap.2005.07.002
dc.identifier.issn15674223
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55930
dc.description.abstractProduct 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. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.elerap.2005.07.002
dc.sourceScopus
dc.subjectE-commerce
dc.subjectFeature analysis
dc.subjectGeneric attributes
dc.subjectGeneric preference
dc.subjectGenetic algorithm
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.elerap.2005.07.002
dc.description.sourcetitleElectronic Commerce Research and Applications
dc.description.volume4
dc.description.issue4
dc.description.page377-394
dc.identifier.isiut000242626800008
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