Towards ensemble learning for hybrid music recommendation

RecSys'07: Proceedings of the 2007 ACM Conference on Recommender Systems

Volumn , Issue , 2007, Pages 177-178

  Tiemann, Marco ^a   Pauws, Steffen ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Algorithms; Experimentation

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER MUSIC; ERROR ANALYSIS; LEARNING ALGORITHMS;

COMBINATION RULES; LEARNING METHODS;

LEARNING SYSTEMS;

EID: 42149171217     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1297231.1297265     Document Type: Conference Paper

References (5)

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2. R. Burke. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331-370, 2002.
3. J. B. L. Kuncheva and R. Duin. Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition, 34(2):299-314, 2001.
4. R. Polikar. Ensemble based systems in decision making. IEEE Systems Magazine, (3):21-45, 2006.
5. F. Vignoli and S. Pauws. A music retrieval system based on user-driven similarity and its evaluation. In Proc. Sixth International Symposium on Music Information Retrieval, 2005.