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http://dx.doi.org/10.3745/KIPSTD.2004.11D.5.1189

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

Lee, Gun-Ho (숭실대학교 산업ㆍ정보시스템공학과)
Lee, Dong-Hun (숭실대학교 대학원 산업ㆍ정보시스템공학과)
Publication Information
The KIPS Transactions:PartD / v.11D, no.5, 2004 , pp. 1189-1196 More about this Journal
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.
Keywords
Recommending System; Case-based Reasoning; Rule-based Reasoning; Personalization;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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