Foafing the music: Bridging the semantic gap in music recommendation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4273 LNCS, Issue , 2006, Pages 927-934

  Celma, Òscar ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LANGUAGES; INFORMATION RETRIEVAL; SEMANTICS; VOCABULARY CONTROL;

CONTEXT BASED INFORMATION; FRIEND OF A FRIEND (FOAF) DESCRIPTION; RDF SITE SUMMARY (RSS); SEMANTIC GAP;

COMPUTER MUSIC;

EID: 33845439374     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11926078_67     Document Type: Conference Paper

References (7)

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3. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5-53, 2004.
4. G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 4(1), 2003.
5. F. Pachet. Knowledge Management and Musical Metadata. Idea Group, 2005.
6. E. Perik, B. de Ruyter, P. Markopoulos, and B. Eggen. The sensitivities of user profile information in music recommender systems. In Proceedings of Private, Security, Trust, 2004.
7. A. Uitdenbogerd and R. van Schnydel. A review of factors affecting music recommender success. In Proceedings of 3rd International Conference on Music Information Retrieval, Paris, France, 2002.