Chapter
Music Aficionados and Data Sets: Building Playlists that Make Sense
33:51 - 38:29 (04:38)
The company acquired Tunigo and leveraged its professional playlisters to build AI-powered playlists based on semantic vectors to make them more meaningful and less random.
Clips
Spotify leverages human intelligence through their acquisition of Tunigo to build playlists with semantic meaning for their 200 million users, utilizing the data for machine learning.
33:51 - 36:56 (03:05)
Spotify
Summary
Spotify leverages human intelligence through their acquisition of Tunigo to build playlists with semantic meaning for their 200 million users, utilizing the data for machine learning.
ChapterMusic Aficionados and Data Sets: Building Playlists that Make Sense
EpisodeGustav Soderstrom: Spotify
PodcastLex Fridman Podcast
By grouping tens of millions of tracks based on universal semantic vectors, latent similarities in the music taste of individuals could be accurately predicted, indicating that people with unique taste are more likely to benefit from music recommendations based on these embeddings.
36:57 - 38:29 (01:32)
Music
Summary
By grouping tens of millions of tracks based on universal semantic vectors, latent similarities in the music taste of individuals could be accurately predicted, indicating that people with unique taste are more likely to benefit from music recommendations based on these embeddings.