협력적 필터링 추천 시스템의 정확도 향상 Accuracy improvement of a collaborative filtering recommender system
이석환, 박승현
- 언어KOR
- URLhttp://db.koreascholar.com/Article/Detail/245763
대한안전경영과학회지
제12권 제1호
(2010.03)
pp.127-136
pp.127-136
대한안전경영과학회
(Korea Safety Management & Science)
초록
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.
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