Abstract
정보기술과 e-비지니스 산업의 발전은 전자상거래의 중요성을 증가시켰다. 전자상거래를 지원하는 시스템은 편리한 인터페이스와, 편하고 빠른 검색 기능, 고객이 만족할 수 있는 정보를 제공할 수 있어야한다. 이를 위해서 추론 기법과 에이전트 기술을 사용한 시스템에 대한 연구가 필요하다. 본 논문에서는 고객의 선호도와 사례기반의 추론과 규칙 기반의 추론을 혼합적으로 사용한 세일즈 에이전트론 사용한 전자상거래 시스템을 설계하였고 실험을 통해 그 효용성을 보였다. The importance of electronic commerce system has been growing rapidly due to development of information technology and acceleration of enterprise e-business. Electronic commerce system must provide convenient interface, easy and fast searching function, and product information satisfied customer's. A study about the system that used a reasoning technique and an Agent technology for this is required. In this paper, we designs electronic commerce system with customer preference and sales agent which is composed of case-based reasoning and rule-based reasoning for high customer satisfaction. Also, we were shown on an appropriateness of a proposal system by an experiment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.