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Volumn , Issue , 2005, Pages 264-271

Improving content-based similarity measures by training a collaborative model

Author keywords

Acoustic measures; Collaborative metadata; Content based sound feature similarity measures; Evaluation; Machine learning; Music similarity; Recommender

Indexed keywords

COLLABORATIVE MODEL; CONTENT-BASED; DATA POINTS; E-COMMERCE APPLICATIONS; EVALUATION; FEATURE SETS; FEATURE SIMILARITIES; MODEL VECTORS; MULTIMEDIA DATA; MUSIC SIMILARITY; PERFORMANCE GAPS; PREDICTED MODELS; RECOMMENDER; SIMILARITY MEASURE; TRAINING PHASE; USER PROFILE;

EID: 84873557073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (17)
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  • 4
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  • 5
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    • Burke, R.1
  • 6
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    • Berenzweig, A.1    Logan, B.2    Ellis, D.3    Whitman, B.4
  • 7
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    • Cohen, W.W.1    Fan, W.2
  • 8
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    • Content-based retrieval of music and audio
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    • J. T. Foote. "Content-based retrieval of music and audio."In C.-C. J. Kuo et al., editor, Multimedia Storage and Archiving Systems II, Proc. of SPIE, Vol. 3229, pp. 138-147, 1997
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.