• Title/Summary/Keyword: NMF(Non-negative Matrix Factorize)

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An Implementation of Story Path Recommendation System of Interactive Drama Using PCA and NMF (PCA와 NMF를 이용한 대화식 드라마의 스토리 경로 추천 시스템 구현)

  • Lee, Yeon-Chang;Jang, Jae-Hee;Kim, Myung-Gwan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.95-102
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    • 2012
  • Interactive drama is a story which requires user's free choice and participation. In this study, we grasp user's preference by making training data that utilize characters of interactive drama. Furthermore, we describe process of implementing systems which recommend new users path of stories that correspond with their preference. We used PCA and NMF to extract characteristic of preference. The success rate of recommending was 75% with PCA, while 62.5% with NMF.