Recommending System of Products on e-shopping malls based on CBR and RBR 


Vol. 11,  No. 5, pp. 1189-1196, Oct.  2004
10.3745/KIPSTD.2004.11.5.1189


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  Abstract

It is a major concern of e-shopping mall managers to satisfy a variety of customer's desire by recommending a proper product to the perspective purchaser. Customer information like customer's fondness, age, gender, etc. in shopping has not been used effectively for the customers or the suppliers. Conventionally, e-shopping mall managers have recommended specific items of products to their customers without considering thoroughly in a customer point of view. This study introduces the ways of a choosing and recommending of products using case-based reasoning and rule-based reasoning for customer themselves or others. A similarity measure between one member's idiosyncrasy and the other members' is developed based on the rule base and the case base. The case base is improved for the system intelligence by recognizing and learning the changes of customer's desire and shopping trend.

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[IEEE Style]

G. H. Lee and D. H. Lee, "Recommending System of Products on e-shopping malls based on CBR and RBR," The KIPS Transactions:PartD, vol. 11, no. 5, pp. 1189-1196, 2004. DOI: 10.3745/KIPSTD.2004.11.5.1189.

[ACM Style]

Gun Ho Lee and Dong Hun Lee. 2004. Recommending System of Products on e-shopping malls based on CBR and RBR. The KIPS Transactions:PartD, 11, 5, (2004), 1189-1196. DOI: 10.3745/KIPSTD.2004.11.5.1189.

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