Spotify Acquires Machine Learning Music Startup Niland to Improve Music Recommendation


Music streaming services have a lot of music at their disposal, making that monthly subscription cost worth it for those who sign up.

So for the folks that might want to expand their library, getting help from the service of choice is an important part of the puzzle. Music recommendations are a lynchpin for services like Pandora, and, just as much, Apple Music. Spotify has been working to be a name in that hat, too, with its Daily Mixes and Weekly Recommendations, both of which are meant to introduce listeners to music that’s similar to their interests.

So yesterday (surfaced by 9to5Mac), to help with that plan, Spotify has announced that it has acquired a startup out of Paris called Niland. It’s a company that focuses on artificial intelligence and machine learning, and does so to build recommendations. Spotify’s announcement confirmed the acquisition, but it did not outline how much it paid for the company in the final deal.

“We are pleased to welcome Paris-based machine learning startup Niland to the Spotify family. Niland has changed the game for how AI technology can optimize music search and recommendation capabilities and shares Spotify‚Äôs passion for surfacing the right content to the right user at the right time. The team from Niland will join our New York office and help Spotify continue innovating and improving our recommendation and personalization technologies resulting in more music discovery which benefits both fans and artists. Their innovative approach to AI and machine learning based recommendation systems is a perfect fit for the Spotify team.”

The acquisition will probably start working out for Spotify sooner rather than later, and for users of the service, music recommendation should hopefully spike in its usefulness as a result.

[via 9to5Mac; Spotify]

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