Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

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    3. E. Perik and B. de Ruyter, P. Markopoulos and B. Eggen, “The Sensitivities of User Profile Information in Music Recommender Systems,” in Proc. of the 2nd Annual Conf. on Privacy, Security and Trust, New Brunswick, Canada, 2004, pp. 137-141.
    4. P. Cano, M. Koppenberger and N.Wack: “An industrial strength content-based music recommendation system,” In Proc. of 28th ACM SIGIR, pp. 673, 2005
    5. Yajie Hu, Mitsunori Ogihara “A music recommendation system based on human behaviour” in 12th International Society for Music Information Retrieval Conference (ISMIR 2011)
    6. Brian McFee, Luke Barrington, and Gert R. G. Lanckriet. Learning content similarity for music recommendation. IEEE Transactions on Audio, Speech & Language Processing, 20(8), 2012
    7. Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen for “Deep content-based music recommendation”.
    8. L. Barrington, R. Oda, and G. Lanckriet, “Smarter than genius? Human evaluation of music recommender systems,” in Proc. 10th Int. Conf. Music Inf. Retrieval, 2009
    9. O. Celma. “Music Recommendation and Discovery in the Long Tail”. PhD thesis, Universitat Pompeu Fabra, Barcelona, 2008
    10. Thierry Bertin-Mahieux, Daniel P.W. Ellis, Brian Whitman, and Paul Lamere. The million song dataset. In Proceedings of the 11th International Conference on Music Information Retrieval (ISMIR), 2011
    11. Philippe Hamel and Douglas Eck. Learning features from “music audio with deep belief networks”. In

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