Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1128
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dc.contributor.authorGuan, SU-
dc.contributor.authorTay, YS-
dc.date.accessioned2007-08-07T08:26:06Z-
dc.date.available2007-08-07T08:26:06Z-
dc.date.issued2007-
dc.identifier.citationInternational Journal of Web and Grid Services. 3 (1) 58-81en
dc.identifier.issn1741-1106-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/1128-
dc.description.abstractIn the context of m-commerce, small screen size poses serious difficulty for users to browse effectively through a product catalogue, given the limited number of products that may be presented on-screen. Despite the availability of search engines, filters and recommender systems to aid users, these techniques focus on a narrow segment of product offering. The users are thus denied the opportunity to do a more expansive exploration of the products available. This paper describes a novel approach to overcome the constraints of small screen size. Through integration of a product catalogue with a recommender system, an adaptive system has been created that guides users through the process of product browsing. An original technique has been developed to cluster similar positive examples together to identify areas of interest of a user. The performance of this technique has been evaluated and the results proved to be promising.en
dc.format.extent251002 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherInderscienceen
dc.subjectInteractive catalogueen
dc.subjectClusteringen
dc.subjectGenetic algorithmen
dc.subjectm-Commerceen
dc.titleInteractive product catalogue with user preference trackingen
dc.typeResearch Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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