All data is anonymized to protect user privacy. Each playlist in the MPD contains a playlist title, the track list (including track IDs and metadata), and other metadata fields (last edit time, number of playlist edits, and more). The playlists were created by Spotify users between January 2010 and November 2017. Sampled from the over 2 billion public playlists on Spotify, this dataset of 1 million playlists consist of over 2 million unique tracks by nearly 300,000 artists, and represents the largest dataset of music playlists in the world. To enable this type of research at scale, earlier this year we released The Million Playlist Dataset (MPD) to the academic research community. Spotify’s “Recommended Songs” feature suggests songs to add to a playlist This can make playlist creation easier, and ultimately help people find more of the music they love. The Million Song Dataset Challenge 9 was a large scale, music recommendation chal-lenge, where the task was the one to predict which songs a user will listen to, provided the listening history of the user. We describe its creation process, its content, and its possible uses.
Why do certain songs go together? What is the difference between “ Beach Vibes” and “ Forest Vibes”? And what words (and emojis) do people use to describe which playlists?īy learning more about nature of playlists, we may also be able to suggest other tracks that a listener would enjoy in the context of a given playlist. We introduce the Million Song Dataset, a freely-available collection of audio features and metadata for a million contemporary popular music tracks. By learning from the playlists that people create, we can learn all sorts of things about the deep relationship between people and music. The Million Song Dataset was released in February 2011, and since then a number of contests and projects have taken place to explore the system for recommendation systems as well as an insight into musical qualities. The other thing we love here at Spotify is playlist research. I told my crush I liked them through a Spotify playlist /f51lfkIMQv focus, workout). Some playlists are even made to land a dream job, or to send a message to someone special. romantic, sad, holiday), or for a particular purpose (e.g. by genre, artist, year, or city), by mood, theme, or occasion (e.g. People create playlists for all sorts of reasons: some playlists group together music categorically (e.g. To date, over 2 billion playlists have been created and shared by Spotify users. In fact, the Digital Music Alliance, in their 2018 Annual Music Report, state that 54% of consumers say that playlists are replacing albums in their listening habits.īut our users don’t love just listening to playlists, they also love creating them. I walked the length of my platform just to read them all /vV7LbW8zpM Playlists like Today’s Top Hits and RapCaviar have millions of loyal followers, while Discover Weekly and Daily Mix are just a couple of our personalized playlists made especially to match your unique musical tastes.īig fan of the new Spotify campaign.