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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationMICAI 2006
Subtitle of host publicationAdvances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages974-984
Number of pages11
ISBN (Print)3540490264, 9783540490265
DOIs
StatePublished - 1 Jan 2006
Event5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, Mexico
Duration: 13 Nov 200617 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4293 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
CountryMexico
CityApizaco
Period13/11/0617/11/06

Keywords

  • Adaptive agent
  • Content-based filtering
  • Critiquing subjective data
  • Interactive evolutionary computing
  • Music recommender system

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  • Cite this

    Huang, C. Y., Hsieh, J. L., Sun, C-T., & Cheng, C. Y. (2006). Evaluating subjective compositions by the cooperation between human and adaptive agents. In MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings (pp. 974-984). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4293 LNAI). Springer Verlag. https://doi.org/10.1007/11925231_93