Introducing The Million Playlist Dataset and RecSys Challenge 2018
May 1, 2018Ching-Wei Chen

Summary
This post introduces the Million Playlist Dataset (MPD), a dataset of 1 million user-created playlists sampled from Spotify's public playlists, containing over 2 million unique tracks by nearly 300,000 artists. It also announces the RecSys Challenge 2018, focused on automatic playlist continuation, where researchers are tasked with predicting hidden songs in real user-created playlists. The MPD includes playlist titles, track lists with metadata, and other anonymized metadata fields. The challenge aims to advance research in recommender systems for music.
More from the ML-driven Personalization Systems trail
- Humans + Machines: A Look Behind the Playlists Powered by Spotify’s Algotorial Technology
- How Spotify Uses ML to Create the Future of Personalization
- The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part II)
- The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part I)
- For Your Ears Only: Personalizing Spotify Home with Machine Learning