@inproceedings{7c24da5b0a004b64b180e608d4b46636,
title = "Using evolving agents to critique subjective music compositions",
abstract = "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.",
keywords = "Adaptive agent, Content-based filtering, Critiquing subjective data, Interactive evolutionary computing, Music recommender system",
author = "Sun, {Chuen Tsai} and Hsieh, {Ji Lung} and Huang, {Chung Yuan}",
year = "2007",
doi = "10.1007/978-3-540-74377-4_36",
language = "英语",
isbn = "9783540743767",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "336--346",
booktitle = "Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers",
address = "德国",
note = "International Conference on Computational Intelligence and Security, CIS 2006 ; Conference date: 03-11-2006 Through 06-11-2006",
}