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Volumn , Issue , 2008, Pages 275-280

Uncovering affinity of artists to multiple genres from social behaviour data

Author keywords

[No Author keywords available]

Indexed keywords

CULTURAL AWARENESS; DATA SETS; MODEL-BASED OPC; MUSICAL ARTISTS; NOVEL CONCEPT; SOCIAL BEHAVIOUR; SOCIAL-BASED; WEB-BASED COMMUNITIES;

EID: 84873427741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (10)
  • 1
    • 47749148346 scopus 로고    scopus 로고
    • The emergence of complex network patterns in music artist networks
    • P. Cano and M. Koppenberger. The emergence of complex network patterns in music artist networks. In Proc. of ISMIR, pages 466-469, 2004.
    • (2004) Proc. of ISMIR , pp. 466-469
    • Cano, P.1    Koppenberger, M.2
  • 2
    • 57049167362 scopus 로고    scopus 로고
    • Autotagging music using supervised machine learning
    • D. Eck, T. Bertin-Mahieux, and P. Lamere. Autotagging music using supervised machine learning. In Proc. of IS-MIR, pages 367-368, 2007.
    • (2007) Proc. of IS-MIR , pp. 367-368
    • Eck, D.1    Bertin-Mahieux, T.2    Lamere, P.3
  • 3
    • 84873596722 scopus 로고    scopus 로고
    • Exploring mood metadata: Relationships with genre, artist and usage metadata
    • X. Hu and J. Downie. Exploring mood metadata: Relationships with genre, artist and usage metadata. In Proc. of ISMIR, pages 67-72, 2007.
    • (2007) Proc. of ISMIR , pp. 67-72
    • Hu, X.1    Downie, J.2
  • 4
    • 33645613920 scopus 로고    scopus 로고
    • Artist classification with web-based data
    • P. Knees, E. Pampalk, and G. Widmer. Artist classification with web-based data. In Proc. of ISMIR, pages 517-524, 2004.
    • (2004) Proc. of ISMIR , pp. 517-524
    • Knees, P.1    Pampalk, E.2    Widmer, G.3
  • 6
    • 25144447915 scopus 로고    scopus 로고
    • Automatic genre classification using large high-level musical feature sets
    • C. McKay and I. Fujinaga. Automatic genre classification using large high-level musical feature sets. In Proc. of ISMIR, pages 525-530, 2004.
    • (2004) Proc. of ISMIR , pp. 525-530
    • McKay, C.1    Fujinaga, I.2
  • 8
    • 84873445415 scopus 로고    scopus 로고
    • Discovering and visualizing prototypical artists by web-based cooccurrence analysis
    • M. Schedl, P. Knees, and G. Widmer. Discovering and visualizing prototypical artists by web-based cooccurrence analysis. In Proc. of ISMIR, pages 21-28, 2005.
    • (2005) Proc. of ISMIR , pp. 21-28
    • Schedl, M.1    Knees, P.2    Widmer, G.3
  • 9
    • 0010053023 scopus 로고    scopus 로고
    • Automatic musical genre classification of audio signals
    • G. Tzanetakis, G. Essl, and P. Cook. Automatic musical genre classification of audio signals. In Proc. of ISMIR, pages 205-210, 2001.
    • (2001) Proc. of ISMIR , pp. 205-210
    • Tzanetakis, G.1    Essl, G.2    Cook, P.3
  • 10
    • 84991859681 scopus 로고    scopus 로고
    • Inferring descriptions and similarity for music from community metadata
    • B. Whitman and S. Lawrence. Inferring descriptions and similarity for music from community metadata. In Proc. of ISMIR, pages 591-598, 2002.
    • (2002) Proc. of ISMIR , pp. 591-598
    • Whitman, B.1    Lawrence, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.