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Volumn , Issue , 2011, Pages 97-102

Howmuch metadata do we need in music recommendation? A subjective evaluation using preference sets

Author keywords

[No Author keywords available]

Indexed keywords

BLACK BOXES; CONTENT-BASED; CONTENT-BASED APPROACH; DESCRIPTORS; DISTANCE-BASED; HIGH LEVEL SEMANTICS; MUSIC PREFERENCES; MUSIC RECOMMENDATION; POPULAR MUSIC; SUBJECTIVE EVALUATIONS; TAG-BASED;

EID: 84873595124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (21)
  • 10
    • 2342613499 scopus 로고    scopus 로고
    • Personalization of user profiles for content-based music retrieval based on relevance feedback
    • K. Hoashi, K. Matsumoto, and N. Inoue. Personalization of user profiles for content-based music retrieval based on relevance feedback. In ACM Int. Conf. on Multimedia (MULTIMEDIA'03), pages 110-119, 2003.
    • (2003) ACM Int. Conf. on Multimedia (MULTIMEDIA'03) , pp. 110-119
    • Hoashi, K.1    Matsumoto, K.2    Inoue, N.3
  • 11
    • 57049098170 scopus 로고    scopus 로고
    • Learning latent semantic models for music from social tags
    • M. Levy and M. Sandler. Learning latent semantic models for music from social tags. Journal of New Music Research, 37(2):137-150, 2008.
    • (2008) Journal of New Music Research , vol.37 , Issue.2 , pp. 137-150
    • Levy, M.1    Sandler, M.2
  • 12
    • 33750430621 scopus 로고    scopus 로고
    • A probabilistic music recommender considering user opinions and audio features
    • Q. Li, S. H. Myaeng, and B. M. Kim. A probabilistic music recommender considering user opinions and audio features. Information Processing & Management, 43(2):473-487, 2007.
    • (2007) Information Processing & Management , vol.43 , Issue.2 , pp. 473-487
    • Li, Q.1    Myaeng, S.H.2    Kim, B.M.3
  • 14
    • 64049092058 scopus 로고    scopus 로고
    • A novel method for personalized music recommendation
    • C. Lu and V. S. Tseng. A novel method for personalized music recommendation. Expert Systems with Applications, 36(6):10035-10044, 2009.
    • (2009) Expert Systems with Applications , vol.36 , Issue.6 , pp. 10035-10044
    • Lu, C.1    Tseng, V.S.2
  • 15
    • 77958014369 scopus 로고    scopus 로고
    • A comparison of signal-based music recommendation to genre labels, collaborative filtering, musicological analysis, human recommendation, and random baseline
    • T. Magno and C. Sable. A comparison of signal-based music recommendation to genre labels, collaborative filtering, musicological analysis, human recommendation, and random baseline. In Int. Conf. on Music Information Retrieval (ISMIR'08), pages 161-166, 2008.
    • (2008) Int. Conf. on Music Information Retrieval (ISMIR'08) , pp. 161-166
    • Magno, T.1    Sable, C.2
  • 19
    • 77954724868 scopus 로고    scopus 로고
    • A novel music recommender by discovering preferable perceptual-patterns from music pieces
    • J. H. Su, H. H. Yeh, and V. S. Tseng. A novel music recommender by discovering preferable perceptual-patterns from music pieces. In ACM Symp. on Applied Computing (SAC'10), pages 1924-1928, 2010.
    • (2010) ACM Symp. on Applied Computing (SAC'10) , pp. 1924-1928
    • Su, J.H.1    Yeh, H.H.2    Tseng, V.S.3
  • 20
    • 33846214453 scopus 로고    scopus 로고
    • A model-based approach to constructing music similarity functions
    • K. West and P. Lamere. A model-based approach to constructing music similarity functions. EURASIP Journal on Advances in Signal Processing, 2007:149-149, 2007.
    • (2007) EURASIP Journal on Advances in Signal Processing , vol.2007 , pp. 149-149
    • West, K.1    Lamere, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.