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  • 标题:Content-based Music Search and Recommendation System
  • 本地全文:下载
  • 作者:Kazuki Takegawa ; Yoshinori Hijikata ; Shogo Nishida
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2008
  • 卷号:23
  • 期号:5
  • 页码:330-343
  • DOI:10.1527/tjsai.23.330
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Recently, the turn volume of music data on the Internet has increased rapidly. This has increased the user's cost to find music data suiting their preference from such a large data set. We propose a content-based music search and recommendation system. This system has an interface for searching and finding music data and an interface for editing a user profile which is necessary for music recommendation. By exploiting the visualization of the feature space of music and the visualization of the user profile, the user can search music data and edit the user profile. Furthermore, by exploiting the infomation which can be acquired from each visualized object in a mutually complementary manner, we make it easier for the user to search music data and edit the user profile. Concretely, the system gives to the user an information obtained from the user profile when searching music data and an information obtained from the feature space of music when editing the user profile.
  • 关键词:music recommendation ; music search ; content-based filtering ; MIDI ; user profile ; interaction design
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