Multi-Task Learning of Graph-based Inductive Representations of Music Content - Spotify Research
Music streaming platforms rely heavily on learning meaningful representations of tracks to surface apt recommendations to users in a number of different use cases. In this work, we consider the task of learning music track representations by leveraging three rich heterogeneous sources of information: (i) organizational information (e.g., playlist co-occurrence), (ii) content information (e.g., audio... View Article
https://research.atspotify.com/publications/multi-task-learning-of-graph-based-inductive-representations-of-music-content/