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http://dx.doi.org/10.14400/JDC.2014.12.5.395

Customized Coupon Recommendation Model based on Fuzzy AHP Reflecting User Preference  

Sim, Weon-Ik (Division of Computer Science & Engineering, Kongju National University)
Lee, Sang-Yong (Division of Computer Science & Engineering, Kongju National University)
Publication Information
Journal of Digital Convergence / v.12, no.5, 2014 , pp. 395-401 More about this Journal
Abstract
As social network service becomes common, the consumers use many discount coupons with which they can purchase goods via social commerce. Although, the quantities of coupons offered from social commerce are currently on the sharp increase, customized coupon service that reflects user preference is not offered. This paper proposes a coupon service method reflecting user's subjective inclination targeting food coupons to offer customized coupon service for social commerce. Towards this end, this paper conducts hierarchization of the factors that become standard in selecting coupons including food types, food prices, discount rates and the number of buyers. And then, this study classifies, extracts and offers the coupons using Fuzzy-AHP, a decision making support method that reflects subjective inclination. From the user satisfaction results on the extracted coupons, the users are generally satisfied: very satisfactory with 45%, satisfactory with 33% and fair with 22%, and there was no experiment participant, who was dissatisfied.
Keywords
Multi-criteria decision making; Fuzzy-AHP layered; coupons; classification and extraction; the relative weight; user reflect subjective;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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