원문정보
Accuracy improvement of a collaborative filtering recommender system
초록
영어
In this paper, the author proposed following two methods to improve the accuracy of the recommender system. First, in order to classify the users more accurately, the author used a EMC(Expanded Moving Center) heuristic algorithm which improved clustering accuracy. Second, the author proposed the Neighborhood-oriented preference prediction method that improved the conventional preference prediction methods, so the accuracy of the recommender system is improved. The test result of the recommender system which adapted the above two methods suggested in this paper was improved the accuracy than the conventional recommendation methods.
목차
1. 서론
2. 추천 시스템
2.1 추천과정
2.2 사용자 군지방법과 이웃사용자 선정방법
2.3 추천영화 후보선정
2.4 이웃사용자 중심 선호도 예측방법
3. 추천 시스템 성능평가
3.1 추천실험 과정
3.2 실험결과 및 분석
4. 결론
5. 참고문헌
