Improving music genre classification using collaborative tagging data

Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, WSDM'09

Volumn , Issue , 2009, Pages 84-93

  Chen, Ling ^a   Wright, Phillip ^b   Nejdl, Wolfgang ^a  

^a L3S RESEARCH CENTER   (Germany)

^b Georgia Institute of Technology   (United States)

Author keywords

Exploiting tag semantics; Music genre classification; Relaxation labelling

Indexed keywords

AUDIO CONTENT; AUDIO SIGNAL; CLASSIFICATION SCHEME; COLLABORATIVE TAGGING; CRITICAL COMPONENT; EXPLOITING TAG SEMANTICS; MUSIC GENRE CLASSIFICATION; MUSIC INFORMATION RETRIEVAL; REAL WORLD DATA; RELAXATION LABELLING; SEMANTIC INFORMATION; SOCIAL NETWORKING; TWO CLASSIFICATION;

CLASSIFIERS; ELECTRONIC MUSICAL INSTRUMENTS; INFORMATION RETRIEVAL; INFORMATION SERVICES; LEARNING SYSTEMS; SEMANTICS; WEBSITES;

AUDIO ACOUSTICS;

EID: 70349129938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1498759.1498812     Document Type: Conference Paper

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