Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs

In this content overload scenario, it is crucial to automatically characterise playlists, so that music can be effectively organised, accessed and retrieved. One way to characterise playlists is by their listening context.

For example, one listening context is "workout", which characterises playlists suited to be listened to by users while working out. Recent work attempts to predict the listening contexts of playlists, formulating the problem as multi-label classification. However, current classifiers for listening context prediction are limited in the input data modalities that they handle, and on how they leverage the inputs for classification.