Experimenting with music taste prediction by user profiling

MIR'04 - Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval

Volumn , Issue , 2004, Pages 173-180

  Grimaldi, Marco ^a   Cunningham, Pádraig ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Ensemble techniques; Features selection; Music information retrieval; User taste prediction

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; FEEDBACK; INFORMATION RETRIEVAL; LEARNING SYSTEMS; TEXTURES;

ENSEMBLE TECHNIQUES; FEATURES SELECTION; MUSIC INFORMATION RETRIEVAL; USER TASTE PREDICTION;

MULTIMEDIA SYSTEMS;

EID: 15344340941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1026711.1026740     Document Type: Conference Paper

References (17)

1. C. Hayes. Smart Radio: Building community-Based Internet Music Radio, PhD Thesis, Trinity College Dublin, October 2003.
2. J.B. Schafer, J. Konstan, J. Riedl. Recommender Systems in E-Commerce, in: Proceedings of the First ACM Conference on Electronic Commerce, Denver, CO, 158-166, 1999
3. th National Conference on Artificial Intelligence, 2000. 729-734, 2000.
4. P. Melville, R. Mooney, R. Nagarajan. Content-Boosted collaborative filtering, in Proceedings of the SIGIR2001 Workshop on Recommender Systems, New Orleans, LA, September 2001.
5. B. Smith. D. Wilson, D. O'Sullivan. Improving the Quality of the Persnonalised electronic programme guide, in Proceedings of the TV02 the second Workshop on Personalization in Future TV, 42-55, 2002.
6. J.R. Taylor. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, J.R. Taylor, University Science Books, 1986(Italian edition).
7. K. Hoashi, K. Matsumoto, N. Inoue. Personalization of user profiles for content-based music retrieval based on relevance feedback, Proceedings of the eleventh ACM international conference on Multimedia, Berkeley, CA, 110 -119, 2003.
8. J. Foote. An Overview of Audio Information Retrieval, Press/Springer Verlag, Multimedia Systems 7(1), 2-11, 1999.
9. J. Foote. Content-Based Retrieval of Music and Audio, in Proceedings of SPIE, vol 3229, 138-147, 1997.
10. J.J. Rocchio. Relevance feedback in information retrieval, in: Saltion, G. (Ed.), The smart Retrieval System Experiments in Automatic Document Processing. Prentice Hall, Englewood Cliffs, NJ, 313-323, 1971.
11. G. Salton, C. Buckley. Improving Retrieval Performance by Relevance Feedback. Journal of the American Society for Information Science 41(4), 288-297, 1990.
12. Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptative Wavelet Packet Coefficients, Roberto Cossu, Ian H. Jermyn, Josiane Zerubia - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), May 2004, Montreal, Quebec, Canada.
13. C. Hayes, P. Cunningham, P. Clerkin, M. Grimaldi, "Programme-driven music radio", Proceedings of the 15th European Conference on Artificial Intelligence 2002, Lyons France. ECAT02, F. van Harmelen (Ed.): IOS Press, Amsterdam, 2002.
14. M. Grimaldi, P. Cunningham, A. Kokaram, "Music Genre Classification Using a Wavelet Packet Representation of Audio Signals and Using Different Ensemble and Feature Selection Techniques". Submitted to ACM Multimedia Systems Journal, Special Issue of MIR'03 Workshop on Systems and Architectures for Multimedia Information Retrieval
15. G. Tzanetakis, G. Essl, P. Cook, "Automatic Musical Genre Classification of Audio Signals", In. Proc. Int. Symposium on Music Information Retrieval (ISMIR), Bloomington, Indiana, 2001.
16. G. Tzanetakis, A. Ermolinskyi, P. Cook, "Pitch Histograms in Audio and Symbolic Music Information Retrieval" In. Proc. Int. Symposium on Music Information Retrieval (ISMIR), Paris, France, 2002.
17. T. M. Mitchell, "Machine Learning", McGraw-Hill, 1997