Spotify is the most well-liked music-streaming app on the earth. Along with songs and albums, Spotify has an excellent assortment of podcasts and discuss exhibits. They’ve lately launched audiobooks of their app. Like another providing, Spotify wished to make sure that its audiobook suggestions catered to consumer’s preferences. Therefore, they developed a Graph Neural Community-based suggestion algorithm to personalize audiobook suggestions.
This text discusses the challenges Spotify confronted in delivering customized audiobook suggestions and the exploratory knowledge analyses carried out to deal with them. It explores Spotify’s modern resolution: a two-tower graph neural community mannequin designed to reinforce audiobook personalization.
Challenges
As audiobooks have been a current addition to Spotify’s content material library, they confronted some challenges —
- There was an information shortage situation because the content material kind was newly launched. There have been fewer consumer interactions for audiobooks in comparison with different content material sorts. Many customers have been unaware of audiobooks on Spotify.