2021
Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation
ICASSP 2021accepted
Personalized recommendation on new track releases has always been a challenging problem in the music industry. To combat this problem, we first explore user listening history and demographics to construct a user embedding representing the user’s music preference. With the user embedding and audio da…