Earticle

초록

영어

In this study, we propose a virtual community recommendation model based on user behavioral models. It is designed to recommend optimal virtual communities for an active user by applying case-based reasoning (CBR) using behavioral factors suggested in the technology acceptance model (TAM) and its extensions. Also, it is designed to filter its case-base by considering the user's needs type before applying CBR. To test the usefulness of our model, we conduct two-step validation - experimental validation for the collected data, and survey validation for investigating the actual satisfaction level. Experimental results show that our model presents effective recommendation results in an efficient way. In addition, they also show that the information on the user's needs type may generate opportunities for cross-selling other commercial items.

목차

I. 서론
 II. 이론적 배경
  2.1 가상 커뮤니티에 대한 행동 연구
  2.2 추천기법으로서의 사례기반추론
 III. 연구 모형
  3.1 전반적인 추천 프로세스
  3.2 사례기반추론의 설계
 IV. 실험 설계
  4.1 검증 프로세스의 설계
  4.2 실험 데이터
  4.3 비교 모형
  4.4 실험 시스템
 V. 실험 결과
 VI. 결언
 참고문헌

저자

• 이형용 [ Hyoung Yong Lee | 한동대학교 경영경제학부 ]
• 안현철 [ Hyunchul Ahn | KAIST 테크노경영대학원 ] 교신저자
• 한인구 [ Ingoo Han | KAIST 테크노경영대학원 ]

참고문헌