Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 21
Page No. 4250 - 4254

Music Recommendation System

Authors : D. Jayashree, S. Goutham Manian and C. Pranav Srivatsav

References

Celma, H.O., 2009. Music recommendation and discovery in the long tail. Ph.D Thesis, Universitat Pompeu Fabra, Barcelona, Spain. http://repositori.upf.edu/handle/10230/12223

Hoffman, M.D., D.M. Blei and P.R. Cook, 2009. Easy as CBA: A simple probabilistic model for tagging music. ISMIR., 9: 369-374.
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Lee, J.S. and J.C. Lee, 2007. Context Awareness by Case-Based Reasoning in a Music Recommendation System. Springer, Heidelberg, pp: 45-58.

Park, H.S., J.O. Yoo and S.B. Cho, 2006. A Context-Aware Music Recommendation System using Fuzzy Bayesian Networks with Utility Theory. In: Fuzzy Systems and Knowledge Discovery, Lipo, W., L. Jiao, G. Shi, X. Li and L. Jing (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-45916-3, pp: 970-979.

Resnick, P. and H.R. Varian, 1997. Recommender systems. Commun. ACM., 40: 56-58.
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Schluter, J. and C. Osendorfer, 2011. Music similarity estimation with the mean-covariance restricted boltzmann machine. Proceeding of the 2011 10th International Conference on Machine Learning and Applications and Workshops ICMLA, December 18-21, 2011, IEEE, Munich, Germany, ISBN:978-1-4577-2134-2, pp: 118-123.

Yoshii, K., M. Goto, K. Komatani, T. Ogata and H.G. Okuno, 2008. An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model. IEEE Trans. Audio Speech Language Process., 16: 435-447.
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