감성공학을 이용한 온라인 추천 서비스 알고리즘

• 영문명: On-line Recommendation Service Algorithm using Human Sensibility Ergonomics
• 발행기관: 한국산업경영시스템학회
• 저자명: 임치환(Chee-Hwan Lim)
• 간행물 정보: 『산업경영시스템학회지』제27권 제1호, 38~46쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2004.03.01

영문 초록

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e. g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

목차

Astract

1. 서론

2. 감성기반 추천 에이전트 시스템

3. 시스템이 제공하는 온라인 추천 서비스

4. 온라인 추천서비스 구현 알고리즘

5. 결론

참고문헌