A music search engine built upon audio-based and web-based similarity measures
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Scalable music recommendation by search
Proceedings of the 15th international conference on Multimedia
A new approach to evaluating novel recommendations
Proceedings of the 2008 ACM conference on Recommender systems
Advanced Information Retrieval
Electronic Notes in Theoretical Computer Science (ENTCS)
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
From hits to niches?: or how popular artists can bias music recommendation and discovery
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
A fast audio similarity retrieval method for millions of music tracks
Multimedia Tools and Applications
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We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals. Together with efficient similarity metrics, the descriptions allow navigation of multimillion track music collections in a flexible and efficient way without the need of metadata or human ratings.