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5 4, 2. [1] F. Ricci, L. Rokach, B. Shapira, P.B. Kantor (Eds.), Recommender Systems Handbook, Springer, [2] Y. Koren, R. Bell, C. Volinsky, Matrix factorization techniques for recommender systems, IEEE Computer 42 (8) (2009) [3] D. Bogdanov, M. Haro, F. Fuhrmann, E. Gomez, and P. Herrera, Content-based music recommendation based on user preference examples Categories and Subject Descriptors, in Womrad 2010: The 4th ACM Conference on Recommender Systems. Workshop on Music Recommendation and Discovery, [4] B. Logan and A. Salomon, A Content-Based Music Similarity Function, [5] M. Levy and M. Sandler. Music information retrieval using social tags and audio. IEEE Transactions on Multimedia, 11(3): , [6] :, - Web II -, Vol.25, No.1, pp.2 10, [7],, and,, in, 2012, vol. 11, no. 2, pp [8] : Vol. 68. No. 1, pp , [9] B. Logan, Mel Frequency Cepstral Coefficients for Music Modeling, in ISMIR 2000:Proceedings of International Symposium on Music Information Retrieval, [10] A. Flexer, D. Schnitzer, M. Gasser, and G. Widmer, Playlist Generation Using Start and End Songs,in Ninth International Conference on Music Information Retrieval, 2008, pp [11] Y. Hijikata, T. Shimizu, and S. Nishida,Discovery-oriented collaborative filtering for improving user satisfaction, in IUI 2009:Proceedings of the 14th international conference on Intelligent user interfaces, 2009, p [12] Yehuda Koren, Robert Bell, Chris Volinsky, Matrix Factorization Techniques for Recommender Systems, Computer, vol.42, no. 8, pp , August 2009, doi: /mc [13],, 51, 9, [14] Keigo Tada, Ryosuke Yamanishi, Shohei Kato:Interactive Music Recommendation System for Adapting Personal Affection, 11th International Conference on Entertainment Computing, Lecture Notes in Computer Science Vol.7522, pp.417?510, 2012 JSPS 15K12151 ( )

Herrera, Content-based music recommendation based on user preference examples Categories and Subject Descriptors, in Womrad 2010: The 4th ACM Conference on Recommender Systems.

TA3-4 31st Fuzzy System Symposium (Chofu, September 2-4, 2015) Interactive Recommendation System LeonardoKen Orihara, 1 Tomonori Hashiyama, 1

TA3-4 31st Fuzzy System Symposium (Chofu, September 2-4, 2015) Interactive Recommendation System LeonardoKen Orihara, 1 Tomonori Hashiyama, 1 Interactive Recommendation System 1 1 1 1 LeonardoKen Orihara, 1 Tomonori Hashiyama, 1 Shun ichi Tano 1 1 Graduate School of Information Systems, The University of Electro-Communications Abstract: The