애스크로AIPublic Preview
← 학술논문 검색
학술논문대한안전경영과학회지2011.06 발행KCI 피인용 1

목표고객의 연령속성을 이용한 협력적 필터링 추천 시스템의 정확도 향상

Accuracy improvement of a collaborative filtering recommender system using attribute of age

이석환(인하대학교); 박승헌(인하대학교)

13권 2호, 169~177쪽

초록

In this paper, the author devised new decision recommendation ordering method of items attributed by age to improve accuracy of recommender system. In conventional recommendation system, recommendation order is decided by high order of preference prediction. However, in this paper, recommendation accuracy is improved by decision recommendation order method that reflect age attribute of target customer and neighborhood in preference prediction. By applying decision recommendation order method to recommender system, recommendation accuracy is improved more than conventional ordering method of recommendation.

Abstract

In this paper, the author devised new decision recommendation ordering method of items attributed by age to improve accuracy of recommender system. In conventional recommendation system, recommendation order is decided by high order of preference prediction. However, in this paper, recommendation accuracy is improved by decision recommendation order method that reflect age attribute of target customer and neighborhood in preference prediction. By applying decision recommendation order method to recommender system, recommendation accuracy is improved more than conventional ordering method of recommendation.

발행기관:
대한안전경영과학회
분류:
안전공학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
목표고객의 연령속성을 이용한 협력적 필터링 추천 시스템의 정확도 향상 | 대한안전경영과학회지 2011 | AskLaw | 애스크로 AI