Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

arXiv:2403.05185v1 Announce Type: cross
Abstract: In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this move presents significant challenges for personalized recommendations. Unlike music and podcasts, audiobooks, initially available for a fee, cannot be easily skimmed before purchase, posing higher stakes for the relevance of recommendations. Furthermore, introducing a new content type into an existing platform confronts extreme data sparsity, as most users are …

abstract arxiv audio audiobook audiobooks challenges cs.ir cs.lg digital graph graph neural networks landscape music networks neural networks personalized personalized recommendations podcasts recommendations spotify talk through type vast