메뉴 건너뛰기




Volumn , Issue , 2014, Pages 627-636

Improving content-based and hybrid music recommendation using deep learning

Author keywords

Deep learning; Feature learning; Music recommendation; Probabilistic graphical model

Indexed keywords

AUDIO ACOUSTICS; AUTOMATION; COLLABORATIVE FILTERING; GRAPHIC METHODS; LEARNING SYSTEMS;

EID: 84913528232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2647868.2654940     Document Type: Conference Paper
Times cited : (356)

References (49)
  • 2
    • 84873459337 scopus 로고    scopus 로고
    • Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences
    • K. Yoshii, M. Goto, K. Komatani, T. Ogata, and H. G. Okuno, "Hybrid Collaborative and Content-based Music Recommendation Using Probabilistic Model with Latent User Preferences", in ISMIR, pp. 296-301, 2006.
    • (2006) ISMIR , pp. 296-301
    • Yoshii, K.1    Goto, M.2    Komatani, K.3    Ogata, T.4    Okuno, H.G.5
  • 3
    • 84871394193 scopus 로고    scopus 로고
    • Context-aware mobile music recommendation for daily activities
    • Oct.
    • X. Wang, D. Rosenblum, and Y. Wang, "Context-Aware Mobile Music Recommendation for Daily Activities", in ACM Multimedia 2012, Oct. 2012.
    • (2012) ACM Multimedia 2012
    • Wang, X.1    Rosenblum, D.2    Wang, Y.3
  • 5
    • 64649105397 scopus 로고    scopus 로고
    • Content-based music information retrieval: Current directions and future challenges
    • Mar.
    • M. A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney, "Content-Based Music Information Retrieval: Current Directions and Future Challenges", Proceedings of the IEEE, vol. 96, pp. 668-696, Mar. 2008.
    • (2008) Proceedings of the IEEE , vol.96 , pp. 668-696
    • Casey, M.A.1    Veltkamp, R.2    Goto, M.3    Leman, M.4    Rhodes, C.5    Slaney, M.6
  • 8
    • 84913575598 scopus 로고    scopus 로고
    • Learning emotion-based acoustic features with deep belief networks
    • E. M. Schmidt and Y. E. Kim, "Learning emotion-based acoustic features with deep belief networks", in ISMIR, 2011.
    • (2011) ISMIR
    • Schmidt, E.M.1    Kim, Y.E.2
  • 10
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • July
    • G. E. Hinton, S. Osindero, and Y. W. Teh, "A fast learning algorithm for deep belief nets", Neural Comput., vol. 18, pp. 1527-1554, July 2006.
    • (2006) Neural Comput. , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.W.3
  • 11
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Aug.
    • Y. Koren, R. Bell, and C. Volinsky, "Matrix Factorization Techniques for Recommender Systems", Computer, vol. 42, pp. 30-37, Aug. 2009.
    • (2009) Computer , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 13
    • 72449139600 scopus 로고    scopus 로고
    • CompositeMap: A novel framework for music similarity measure
    • B. Zhang, J. Shen, Q. Xiang, and Y. Wang, "CompositeMap: a Novel Framework for Music Similarity Measure", SIGIR, 2009.
    • (2009) SIGIR
    • Zhang, B.1    Shen, J.2    Xiang, Q.3    Wang, Y.4
  • 16
    • 84870293914 scopus 로고    scopus 로고
    • Semantic audio content-based music recommendation and visualization based on user preference examples
    • Jan.
    • D. Bogdanov, M. Haro, F. Fuhrmann, A. Xambó, E. GóMez, and P. Herrera, "Semantic audio content-based music recommendation and visualization based on user preference examples", Inf. Process. Manage., vol. 49, pp. 13-33, Jan. 2013.
    • (2013) Inf. Process. Manage. , vol.49 , pp. 13-33
    • Bogdanov, D.1    Haro, M.2    Fuhrmann, F.3    Xambó, A.4    GóMez, E.5    Herrera, P.6
  • 18
    • 84878485591 scopus 로고    scopus 로고
    • Comparison of content-based music recommendation using different distance estimation methods
    • June
    • N.-H. Liu, "Comparison of content-based music recommendation using different distance estimation methods", Applied Intelligence, vol. 38, pp. 160-174, June 2013.
    • (2013) Applied Intelligence , vol.38 , pp. 160-174
    • Liu, N.-H.1
  • 19
    • 84893442047 scopus 로고    scopus 로고
    • Location-aware music artist recommendation
    • C. Gurrin, F. Hopfgartner, W. Hurst, H. Johansen, H. Lee, and N. O'Connor, eds., of Lecture Notes in Computer Science, Springer International Publishing
    • M. Schedl and D. Schnitzer, "Location-Aware Music Artist Recommendation", in MultiMedia Modeling (C. Gurrin, F. Hopfgartner, W. Hurst, H. Johansen, H. Lee, and N. O'Connor, eds.), vol. 8326 of Lecture Notes in Computer Science, pp. 205-213, Springer International Publishing, 2014.
    • (2014) MultiMedia Modeling , vol.8326 , pp. 205-213
    • Schedl, M.1    Schnitzer, D.2
  • 25
    • 84860522688 scopus 로고    scopus 로고
    • Probabilistic models for unified collaborative and content-based recommendation in sparsedata environments
    • R. Popescul and L. H. Ungar, "Probabilistic models for unified collaborative and content-based recommendation in sparsedata environments", in UAI 2011, 2001.
    • (2001) UAI 2011
    • Popescul, R.1    Ungar, L.H.2
  • 26
    • 33750430621 scopus 로고    scopus 로고
    • A probabilistic music recommender considering user opinions and audio features
    • Mar.
    • Q. Li, S. H. Myaeng, and B. M. Kim, "A probabilistic music recommender considering user opinions and audio features", Information Processing and Management, vol. 43, pp. 473-487, Mar. 2007.
    • (2007) Information Processing and Management , vol.43 , pp. 473-487
    • Li, Q.1    Myaeng, S.H.2    Kim, B.M.3
  • 28
    • 42149171217 scopus 로고    scopus 로고
    • Towards ensemble learning for hybrid music recommendation
    • RecSys'07, New York, NY, USA, ACM
    • M. Tiemann and S. Pauws, "Towards ensemble learning for hybrid music recommendation", in Proceedings of the 2007 ACM conference on Recommender systems, RecSys'07, (New York, NY, USA), pp. 177-178, ACM, 2007.
    • (2007) Proceedings of the 2007 ACM Conference on Recommender Systems , pp. 177-178
    • Tiemann, M.1    Pauws, S.2
  • 30
    • 78650970695 scopus 로고    scopus 로고
    • Music recommendation by unified hypergraph: Combining social media information and music content
    • MM'10, New York, NY, USA, ACM
    • J. Bu, S. Tan, C. Chen, C. Wang, H. Wu, L. Zhang, and X. He, "Music recommendation by unified hypergraph: Combining social media information and music content", in Proceedings of the International Conference on Multimedia, MM'10, (New York, NY, USA), pp. 391-400, ACM, 2010.
    • (2010) Proceedings of the International Conference on Multimedia , pp. 391-400
    • Bu, J.1    Tan, S.2    Chen, C.3    Wang, C.4    Wu, H.5    Zhang, L.6    He, X.7
  • 37
    • 84888315556 scopus 로고    scopus 로고
    • Feature learning and deep architectures: New directions for music informatics
    • E. Humphrey, J. Bello, and Y. LeCun, "Feature learning and deep architectures: new directions for music informatics", Journal of Intelligent Information Systems, vol. 41, no. 3, pp. 461-481, 2013.
    • (2013) Journal of Intelligent Information Systems , vol.41 , Issue.3 , pp. 461-481
    • Humphrey, E.1    Bello, J.2    LeCun, Y.3
  • 39
    • 84905407267 scopus 로고    scopus 로고
    • Learning rhythm and melody features with deep belief networks
    • E. M. Schmidt and Y. E. Kim, "Learning rhythm and melody features with deep belief networks", in ISMIR, 2013.
    • (2013) ISMIR
    • Schmidt, E.M.1    Kim, Y.E.2
  • 43
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Jan.
    • K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators", Neural Networks, vol. 2, pp. 359-366, Jan. 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 45
    • 67049164166 scopus 로고    scopus 로고
    • Collaborative filtering for implicit feedback datasets
    • of ICDM'08, Washington, DC, USA, IEEE Computer Society, Dec.
    • Y. Hu, Y. Koren, and C. Volinsky, "Collaborative Filtering for Implicit Feedback Datasets", in Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, vol. 0 of ICDM'08, (Washington, DC, USA), pp. 263-272, IEEE Computer Society, Dec. 2008.
    • (2008) Proceedings of the 2008 Eighth IEEE International Conference on Data Mining , vol.0 , pp. 263-272
    • Hu, Y.1    Koren, Y.2    Volinsky, C.3
  • 46
    • 84872506495 scopus 로고    scopus 로고
    • A practical guide to training restricted boltzmann machines
    • G. Montavon, G. Orr, and K.-R. Müller, eds., of Lecture Notes in Computer Science, Springer Berlin Heidelberg
    • G. Hinton, "A Practical Guide to Training Restricted Boltzmann Machines", in Neural Networks: Tricks of the Trade (G. Montavon, G. Orr, and K.-R. Müller, eds.), vol. 7700 of Lecture Notes in Computer Science, pp. 599-619, Springer Berlin Heidelberg, 2012.
    • (2012) Neural Networks: Tricks of the Trade , vol.7700 , pp. 599-619
    • Hinton, G.1
  • 47
    • 34047203543 scopus 로고    scopus 로고
    • MARSYAS: A framework for audio analysis
    • Dec.
    • G. Tzanetakis and P. Cook, "MARSYAS: a framework for audio analysis", Org. Sound, vol. 4, pp. 169-175, Dec. 1999.
    • (1999) Org. Sound , vol.4 , pp. 169-175
    • Tzanetakis, G.1    Cook, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.