TY - GEN
T1 - Using evolving agents to critique subjective music compositions
AU - Sun, Chuen Tsai
AU - Hsieh, Ji Lung
AU - Huang, Chung Yuan
N1 - Funding Information:
Thanks are due to FCT/MCTES for the financial support to QOPNA (FCT UID/QUI/00062/2013) and CESAM (FCT UID/MAR/LA0017/2013) research units, through national funds and where applicable cofinanced by the FEDER, within the PT2020 Partnership Agreement. We further wish to thank the Seventh Framework Programme (FP7-People-2012-ITN) for funding the SO
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=38549152197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38549152197&partnerID=8YFLogxK
U2 - 10.1109/ICCIAS.2006.294180
DO - 10.1109/ICCIAS.2006.294180
M3 - Conference contribution
AN - SCOPUS:38549152197
SN - 1424406056
SN - 9781424406050
T3 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
SP - 474
EP - 480
BT - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
PB - IEEE Computer Society
T2 - 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Y2 - 3 October 2006 through 6 October 2006
ER -