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지능형 추천시스템 개발을 위한 지식분류, 연결 및 통합 방법에 관한 연구
하성도(Sungdo Ha),황인식(I.-S. Hwang),권미수(M. S. Kwon) 한국정밀공학회 2005 한국정밀공학회 학술발표대회 논문집 Vol.2005 No.10월
The wide spread of internet business recently necessitates recommendation systems which can recommend the most suitable product for customer demands. Currently the recommendation systems use content-based filtering and/or collaborative filtering methods, which are unable both to explain the reason for the recommendation and to reflect constantly changing requirements of the users. These methods guarantee good efficiency only if there is a lot of information about users. This paper proposes an algorithm called ‘demand articulate & integration’ which can perceive user’s continuously varying intents and recommend proper contents. A method of knowledge classification which can be applicable to this algorithm is also developed in order to disassemble knowledge into basic units and articulate indices. The algorithm provides recommendation outputs that are close to expert’s opinion through the tracing of articulate index. As a case study, a knowledge base for heritage information is constructed with the expert guide’s knowledge. An intelligent recommendation system that can guide heritage tour as good as the expert guider is developed.
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