I'm happy to announce that the latest issue of Journal of New Music Research (special issue on Music and Machine Learning) features a publication about Dance Hit Prediction

Abstract:
Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the music industry. In this research we tackle this question by focussing on the dance hit song classification problem. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. A number of different classifiers are used to build and test dance hit prediction models. The resulting best model has a good performance when predicting whether a song is a ‘top 10’ dance hit versus a lower listed position.

Try out the model for yourself on dance hit prediction website.