초록

용어보기논문에서 용어와 풀이말을 자동 추출한 결과로, 시범 서비스 중입니다. AI-Helper

Abstract ▼ AI-Helper

Recommender system is a kind of personalized services which recommends products or services suitable to users' requirements. Collaborative filtering is one of the recommendation techniques and widely used because of great performance in terms of computation and prediction accuracy. But it fails to p...

Recommender system is a kind of personalized services which recommends products or services suitable to users' requirements. Collaborative filtering is one of the recommendation techniques and widely used because of great performance in terms of computation and prediction accuracy. But it fails to produce good recommendations in particular situations. To solve this problem, we introduce a new hybrid recommender system. We first construct the content-based recommender and predict ratings. After then, we select quality ratings from them with various confidence measures. The selected ratings are combined with actual user ratings and used for recommendation with other collaborative filtering methods. The proposed system improves several existing collaborative filtering systems in terms of prediction accuracy, by combining content information safely and effectively.

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