Using evolving agents to critique subjective music compositions

Chuen Tsai Sun*, Ji Lung Hsieh, Chung Yuan Huang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

The authors describe a recommender model that uses intermediate agents to evaluate a large body of subjective data according to a set of rules and make recommendations to users. After scoring recommended items, agents adapt their own selection rules via interactive evolutionary computing to fit user tastes, even when user preferences undergo a rapid change. The model can be applied to such tasks as critiquing large numbers of music or written compositions. In this paper we use musical selections to illustrate how agents make recommendations and report the results of several experiments designed to test the model's ability to adapt to rapidly changing conditions yet still make appropriate decisions and recommendations.

原文英語
主出版物標題2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
發行者IEEE Computer Society
頁面474-480
頁數7
ISBN(列印)1424406056, 9781424406050
DOIs
出版狀態已發佈 - 2006 一月 1
事件2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, 中国
持續時間: 2006 十月 32006 十月 6

出版系列

名字2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
1

其他

其他2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
國家/地區中国
城市Guangzhou
期間2006/10/032006/10/06

ASJC Scopus subject areas

  • 電腦科學(全部)
  • 控制與系統工程

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