Evaluating subjective compositions by the cooperation between human and adaptive agents

Chung Yuan Huang*, Ji Lung Hsieh, Chuen-Tsai Sun, Chia Ying Cheng

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

We describe a music recommender model that uses intermediate agents to evaluate music composition according to their own rules respectively, and make recommendations to user. After user scoring recommended items, agents can adapt their selection rules to fit user tastes, even when user preferences undergo a rapid change. Depending on the number of users, the model can also be applied to such tasks as critiquing large numbers of music, image, or written compositions in a competitive contest with other judges. Several experiments are reported to test the model's ability to adapt to rapidly changing conditions yet still make appropriate decisions and recommendations.

原文English
主出版物標題MICAI 2006
主出版物子標題Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings
發行者Springer Verlag
頁面974-984
頁數11
ISBN(列印)3540490264, 9783540490265
DOIs
出版狀態Published - 十一月 2006
事件5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, Mexico
持續時間: 13 十一月 200617 十一月 2006

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4293 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
國家Mexico
城市Apizaco
期間13/11/0617/11/06

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