Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1128
Title: Interactive product catalogue with user preference tracking
Authors: Guan, SU
Tay, YS
Keywords: Interactive catalogue;Clustering;Genetic algorithm;m-Commerce
Issue Date: 2007
Publisher: Inderscience
Citation: International Journal of Web and Grid Services. 3 (1) 58-81
Abstract: In 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.
URI: http://bura.brunel.ac.uk/handle/2438/1128
ISSN: 1741-1106
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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