Proactive Mobile Commerce Service using Differentiated Recommendation in Context-Aware Environment

컨텍스트 인식 한경에서 차별화된 권유를 사용한 프호액티브 모바일 커머스 서비스

  • Published : 2006.03.25

Abstract

According to the growth of wireless networks, and the spread of mobile devices, the provision of recommender services to help consumers find items to purchase with the use of the suited contexts is an important issue in mobile commerce. In this paper, we propose a proactive mobile commerce service that enables a consumer to obtain relevant information efficiently by using differentiated recommendation in context-aware environment. This paper describes the recommendation method and presents grocery shopping application prototype that implement the method. Several experiments are performed and the results verify that the proposed method's recommendation performance is better than other existing methods.

무선 기술의 빠른 발달과 이동통신 사용자의 급증으로 모바일 커머스에서 각 소비자들에게 컨텍스트에 맞게 효과적으로 정보를 권유하는 서비스의 필요성이 점차 부각되고 있다. 본 논문에서는 컨텍스트 인식환경에서 모바일 커머스 서비스를 위한 차별화된 프로액티브 권유 기법을 제안한다. 제안한 기법에서는 컨텍스트에 따라 한번에 모든 정보를 권유하지 않고 레벨별로 차별화하여 프로액티브하게 권유하고, 소비자의 패턴과 프리패칭 기법을 사용함으로써 효율적인 권유 서비스가 가능하다. 이를 위해 제안된 기법을 설명하고 이를 모바일 커머스 어플리케이션 프로토타입에 적용해본다. 또한, 실험을 통해 기존 기법보다 제안된 기법이 우수함을 보인다.

Keywords

References

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