7-3 コンテンツ属性とユーザ属性に基づく情報推薦手法に関する一検討(第7部門 メディア工学2)

抄録

In this paper, we propose a method of evaluating the personalized value of contents for content recommendation systems. In the proposed system, the user's interest from user's vital reaction and viewing history is dynamically detected and analyzed to define the value of contents based on both user-metadata and content-metadata.