Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
Competence-based song recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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In this demo, we present myDJ, a karaoke recommendation system which recommends the songs people are capable to sing. Different from the existing song recommendation systems which recommend songs people like to listen, myDJ can recommend proper songs according to a subject's physical phonation area. It consists of a singer profiler to analyze the subject's phonation characters. In addition, the song profile for each song in database is extracted. To learn a ranking function, the learning to rank algorithm Listnet is applied under a list of predefined features extracted from each singer-song profile pair. In the results, proper songs which are suitable but challenging for the subject are recommended.