Spotify's music recommendations are about to get even smarter

Gwen Vasquez
May 20, 2017

Music streaming service Spotify on Wednesday disclosed it has acquired the team and technology behind Niland, a French start-up with a service for delivering music recommendations.

The French startup will help bolster its push by bringing a specialized recommendation engine to the table that can identify the key elements of a track and find similar content. Spotify released a statement on their website, following the acquisition in which it said that they consider artificial intelligence (AI) to be instrumental in the way people search for music and the recommendations that are provided to them.

Niland, on the other hand, works by pulling meaningful information from raw music content and then forming those connections with other artists.

"Their innovative approach to AI and machine learning based recommendation systems is a flawless fit for the Spotify team", Spotify said.

"We couldn't imagine a better partner for our next chapter", said Tardie, Charbuillet, and Pages in a blog post.

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We will keep working on new ways to better understand music to craft better innovative listening and discovery experiences. As part of the deal, the France-based company will join Spotify's R&D (Research & Development) team, which is based in NY.

Over the past few years, Release Radar and Discover Weekly have become very popular among users.

Niland will help the music streamer compete with competitors such as Apple Music and Pandora in providing the most relevant music suggestions to its 100 million plus users.

One such area is artificial intelligence (AI), in order to make recommendations much more accurate, and Spotify hopes its latest acquisition will give it this power. Spotify had more than 50 million subscribers as of March.

Spotify, founded by Daniel Ek, is the world's biggest streaming music service by listeners. The Swedish music streaming company is valued at $13 billion, according to sources.

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