標題: | Evaluating subjective compositions by the cooperation between human and adaptive agents |
作者: | Huang, Chung-Yuan Hsieh, Ji-Lung Sun, Chuen-Tsai Cheng, Chia-Ying 資訊工程學系 Department of Computer Science |
關鍵字: | music recommender system;interactive evolutionary computing;adaptive agent;critiquing subjective data;content-based filtering |
公開日期: | 2006 |
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. |
URI: | http://hdl.handle.net/11536/136533 |
ISBN: | 978-3-540-49026-5 |
ISSN: | 0302-9743 |
期刊: | MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS |
Volume: | 4293 |
起始頁: | 974 |
結束頁: | + |
顯示於類別: | 會議論文 |