Intelligent Recommendation Processor Simulation using Association Relationship

연관관계를 이용한 지능형 추천 프로세스 시뮬레이션

  • Han, Jung-Soo (Division of Information & Communication, Baekseok Univ.)
  • 한정수 (백석대학교 정보통신학부)
  • Received : 2013.12.01
  • Accepted : 2013.12.20
  • Published : 2013.12.28


In this paper we proposed a intelligent recommendation processor that the type of auto parts failures that may occur in the checkout process is represented by association relationship and the relationship was implemented with ontology. For this purpose, we defined 10 kinds of failure types and their associated parts, and we designed to simulate the recommendation process of five views. For components to be checked with the type of fault, it was possible to be expansion recommendation to the intelligent by controlling the weight value according to the relationship on the components.


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