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NTIS 바로가기한국전자거래학회지 = The Journal of Society for e-Business Studies, v.17 no.3, 2012년, pp.85 - 103
최재원 (연세대학교 정보대학원) , 이홍주 (가톨릭대학교 경영학과)
This study focused on user evaluation for personalized recommender systems with the integrated view of performance of the system and user attitude of recommender systems. Since users' evaluations of recommender systems can be affected by recommendation outcomes and presentation methods, both system ...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
자기 참조란 무엇인가? | 자기 참조란 사용자가 ‘자신(Self)’과 연관된 상황 또는 이슈에 대하여 긍정적 태도를 형성하게 되는 정도를 의미한다[52]. 사회적 실재감은 사용자가 타인이 있음을 감지하고 추천 결과에 대하여 고려하게 되는 정도로 정의될 수 있다[32]. | |
사용자 선호에 적합한 추천이 제공된다면, 사용자는 추천시스템에 대해 보다 긍정적인 태도를 형성하는 것이 가능한 이유는 무엇인가? | Liang et al.[34]의 연구에 따르면 추천시스템에 대한 사용자 만족은 얼마나 정확한 추천이 제공되는 지에 따라 증가될 수 있다. 따라서 사용자 선호에 적합한 추천이 제공된다면, 사용자는 추천시스템에 대해 보다 긍정적인 태도를 형성하는 것이 가능하다[7, 49, 50]. | |
온라인 스토어들이 사용자의 관심에 맞는 제품 또는 서비스를 제공하는 것은 어떠한 역할을 하는가? | 온라인 거래에서 개인화된 웹 경험을 제공하는 것은 전자거래의 중요한 특성 중 하나이다[34, 51, 55]. 온라인 스토어들이 사용자의 관심에 맞는 제품 또는 서비스를 제공하는 것은 사용자의 탐색 노력을 감소시킬 수 있으며 사용자의 만족과 판매를 증가시키는 역할을 한다[32, 52, 56]. 특히, 사용자의 선호도와 구매 이력을 중심으로 추천을 제공하는 추천시스템은 사용자가 다양한 대안들 중에서 의사결정을 할 수 있도록 도움을 제공한다[53]. |
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