Earticle

초록

영어

This paper proposes a personalized product information service method in Internet shopping malls. Based on customer`s initial profile information, behavior information and purchase history, the proposed method displays appropriate product information on Internet web pages when customers visit to the shopping malls. Customers interest scores for product groups, which are main sources to select products information, are stored in the interest table.

목차

I. 서론
 II. 전자상거래 에이전트
  2.1 전자상거래 에이전트의 역사
  2.2 전자상거래 에이전트의 종류
 III. 개인화된 정보 제공 기법
  3.1 내용기반의 정보 제공 기법
  3.2 행위기반의 정보 제공 기법
 IV. 개인화된 정보 제공 기법 (PISM) 의 개발
  4.1 PISM의 구성요소
  4.2 PISM의 정보 제공 구조
 V. 결론
 참고문헌
 Abstract

저자

• 차대운 [ Dae Woon Cha | 신라대학교 경상대학 경영정보학과 교수 ]
• 박유진 [ You Jin Park | 신라대학교 대학원 박사과정 ]

참고문헌