The Benefit of Using Tag-Based Profiles
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Music information retrieval using social tags and audio
IEEE Transactions on Multimedia - Special section on communities and media computing
MusicBox: personalized music recommendation based on cubic analysis of social tags
IEEE Transactions on Audio, Speech, and Language Processing
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Limitations of interactive music recommendation based on audio content
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Folksonomy link prediction based on a tripartite graph for tag recommendation
Journal of Intelligent Information Systems
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We have developed a novel hybrid representation for Music Information Retrieval. Our representation is built by incorporating audio content into the tag space in a tag-track matrix, and then learning hybrid concepts using latent semantic analysis. We apply this representation to the task of music recommendation, using similarity-based retrieval from a query music track. We also develop a new approach to evaluating music recommender systems, which is based upon the relationship of users liking tracks. We are interested in measuring the recommendation quality, and the rate at which cold-start tracks are recommended. Our hybrid representation is able to outperform a tag-only representation, in terms of both recommendation quality and the rate that cold-start tracks are included as recommendations.