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Volumn 37, Issue 4, 2010, Pages 2815-2825

An intelligent music playlist generator based on the time parameter with artificial neural networks

Author keywords

Artificial neural networks; Music database; Music features extraction; Music playlist generator; Recommendation system

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COLD START PROBLEMS; DAILY ACTIVITY; FEATURES EXTRACTION; GENERATION SYSTEMS; MUSIC DATABASE; ON TIME; RECOMMENDATION SYSTEMS; SERVICE-BASED; TIME PARAMETER; TIME STAMPS; TRAINING DATA; WAVE DATA;

EID: 71349087594     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.09.009     Document Type: Article
Times cited : (21)

References (23)
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  • 3
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    • Barrichelo, V.M.O.1    Heuer, R.J.2    Dean, C.M.3    Sataloff, R.T.4
  • 5
    • 17444375713 scopus 로고    scopus 로고
    • A music recommendation system based on music and user grouping
    • Chen H.-C., and Chen A.L.P. A music recommendation system based on music and user grouping. Intelligent Information Systems 24 2/3 (2005) 113-132
    • (2005) Intelligent Information Systems , vol.24 , Issue.2-3 , pp. 113-132
    • Chen, H.-C.1    Chen, A.L.P.2
  • 13
    • 3042689461 scopus 로고    scopus 로고
    • Learning user information interests through extraction of semantically significant phrases
    • spring symposium on machine learning in information access
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  • 22
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    • A framework for the evaluation of music representation systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.