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사용자의 소셜 카테고리를 이용한 유튜브 동영상 추천 알고리즘
유소엽(SoYeop Yoo),정옥란(OkRan Jeong) Korean Institute of Information Scientists and Eng 2015 정보과학회논문지 Vol.42 No.5
With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users social category for more accurate and meaningful recommendations. We show experiment results of its validation.