By Fiona Condon. Slack’s search makes the work history for collaborative teams discoverable and exploreable. Software engineer Fiona Condon explains [...]
Published by Spotify Engineering
Spotify presented its first Machine Learning Day at Spotify headquarters in Stockholm on Monday 9th July to coincide with the International Conference on Machine Learning [...]
Published by Nicola Bortignon
We are happy to announce the first Spotify Machine Learning Day taking place Monday, July 9th, 2018, 9:30 AM – 5:30 PM at Spotify, Regeringsgatan 19, Stockholm, Sweden [...]
Published by Spotify Engineering
Here at Spotify, we love playlists. Playlists like Today’s Top Hits and RapCaviar have millions of loyal followers, while Discover Weekly [...]
Published by Ching-Wei Chen
What’s your name and where are you from? My name is Charlie and I come from the US and grew [...]
Published by Spotify Engineering
Five years ago, music personalization at Spotify was a tiny team. The team read papers, developed models, wrote data pipelines [...]
Published by Spotify Engineering
Introduction When you log into Spotify, browse through your Discover Weekly playlist, and play a track, you’re interacting with some of our [...]
Published by Nic Cope
WHAT IS DISCOVER WEEKLY? Every Monday Spotify delivers 75 million unique mixtapes to music lovers all over the world, we call [...]
Published by Sofie Lindblom
At Spotify we have have over 60 million active users who have access to a vast music catalog of over 30 million [...]
Published by Kinshuk Mishra and Matt Brown
Spotify has built several real-time pipelines using Apache Storm for use cases like ad targeting, music recommendation, and data visualization. Each of these [...]
Published by Kinshuk Mishra
At Spotify we take user feedback seriously. We noticed some users complaining about our shuffling algorithm playing a few songs [...]
Published by Lukáš Poláček
At the heart of Spotify lives a massive and growing data-set. Most data is user-centric and allows us to provide [...]
Published by Jason Palmer
