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NTIS 바로가기한국의류학회지 = Journal of the Korean Society of Clothing and Textiles, v.36 no.11, 2012년, pp.1222 - 1236
문희강 (배재대학교 가정교육과) , 이현화 (인하대학교 의류디자인학 전공)
This study examined the effects of product recommendation services as an atmosphere for online mass customization shopping sites on consumers' cognitive and affective responses. We conducted a between-subject experimental study using a convenience sample of college students. A total of 196 participa...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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온라인 대량고객화는 어떤 방법을 통해 소비자가 자신의 선호가 반영된 제품을 구매할 수 있도록 하는가? | 온라인 대량고객화(Online Mass Customization: OMC)는 소비자가 디자인 선택과정에 참여함으로써 자신의 선호가 반영된 제품을 구매할 수 있도록 하였다. 기업 측면에서는 점차 심화되는 기업경쟁 속에서 차별적 경쟁력을 확보하기 위한 전략적 대안으로 고객화에 관심을 기울이고 있으며(Dellaert & Stremersch, 2005; Syam et al. | |
제춤추천 서비스 중 내용기반 추천 방식의 문제점은 무엇인가? | , 1998). 이 유형의 경우 고객의 과거 구매이력에 근거하여 선호를 도출하는 방법의 한계와 과거 구매이력이 없는 신규 고객에게 적용하기 어렵다는 점이 지적되어 왔다(Avery & Zeckhauser, 1997). 협업 필터링 추천 방식(collaborative filtering: CF)은 목표고객과 유사한 구매이력을 나타내는 이웃고객들의 상품선호를 이용하여 추천하는 것으로, 구전추천이라고 할 수 있다(Hill et al. | |
협업 필터링 추천 방식은 무엇을 이용하여 제품을 추천하는가? | 이 유형의 경우 고객의 과거 구매이력에 근거하여 선호를 도출하는 방법의 한계와 과거 구매이력이 없는 신규 고객에게 적용하기 어렵다는 점이 지적되어 왔다(Avery & Zeckhauser, 1997). 협업 필터링 추천 방식(collaborative filtering: CF)은 목표고객과 유사한 구매이력을 나타내는 이웃고객들의 상품선호를 이용하여 추천하는 것으로, 구전추천이라고 할 수 있다(Hill et al., 1995; Xiao & Benbasat, 2007). |
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