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Volumn , Issue , 2009, Pages 345-350

Steerable playlist generation by learning song similarity from radio station playlists

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FEATURES; SIMILARITY FUNCTIONS; TAG CLOUDS; TRANSITION PROBABILITIES;

EID: 84867145161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (18)
  • 3
    • 33750977571 scopus 로고    scopus 로고
    • Case-based sequential ordering of songs for playlist recommendation
    • C. Baccigalupo, E. Plaza: "Case-based sequential ordering of songs for playlist recommendation, " Lecture Notes in Computer Science, Vol. 4106, pp. 286-300, 2006.
    • (2006) Lecture Notes in Computer Science , vol.4106 , pp. 286-300
    • Baccigalupo, C.1    Plaza, E.2
  • 5
    • 84873415927 scopus 로고    scopus 로고
    • Social playlists and bottleneck measurements: Exploiting musician social graphs using content-based dissimilarity and pairwise maximum flow values
    • Philadelphia, USA
    • B. Fields, C. Rhodes, M. Casey, K. Jacobson: "Social Playlists and Bottleneck Measurements: Exploiting Musician Social Graphs Using Content-Based Dissimilarity and Pairwise Maximum Flow Values, " Proceedings of the 9th International Conference on Music Information Retrieval, Philadelphia, USA, 2008.
    • (2008) Proceedings of the 9th International Conference on Music Information Retrieval
    • Fields, B.1    Rhodes, C.2    Casey, M.3    Jacobson, K.4
  • 6
    • 57049179599 scopus 로고    scopus 로고
    • Social tagging and music information retrieval
    • P. Lamere: "Social Tagging And Music Information Retrieval, " Journal of New Music Research, Vol. 37, No. 2, 2008.
    • (2008) Journal of New Music Research , vol.37 , Issue.2
    • Lamere, P.1
  • 7
    • 57049179026 scopus 로고    scopus 로고
    • Autotagger: A model for predicting social tags from acoustic features on large music databases
    • T. Bertin-Mahieux, D. Eck, F. Maillet, P. Lamere: "Autotagger: a model for predicting social tags from acoustic features on large music databases, " Journal of New Music Research, Vol. 37, No. 2, pp. 115-135, 2008.
    • (2008) Journal of New Music Research , vol.37 , Issue.2 , pp. 115-135
    • Bertin-Mahieux, T.1    Eck, D.2    Maillet, F.3    Lamere, P.4
  • 8
    • 84866007067 scopus 로고    scopus 로고
    • Automatic long-term loudness and dynamics matching
    • New York, USA
    • E. Vickers: "Automatic long-term loudness and dynamics matching, " Proceedings of the AES 111th Convention, New York, USA, 2001.
    • (2001) Proceedings of the AES 111th Convention
    • Vickers, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.