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Music-Finding Algorithms

Clean the Sky - Positive Eco Trends & Breakthroughs

Spotify's 'Release Radar' Hunts Down New Releases Based on Users' Tastes

— August 6, 2016 — Lifestyle
With 'Release Radar,' Spotify is aiming to tighten its grip on the aspect of music streaming in which it is already ahead of the competition. Though the major music streaming service often gets beat to the punch for exclusive music releases by the likes of Apple Music and Tidal, Spotify's music-finding algorithms are head and shoulders above the rest, and Release Radar is another example of that.

Spotify users will already be familiar with 'Discover Weekly,' the approximately two hour playlist released every Monday that functions as a personalized, AI-built mixtape. Though Discover Weekly has received almost universally rave reviews from users, at only two hours long, people often ran out of things to listen to by the end of the week. Release Radar is released every Friday, filling that musical rest in users' sonic lives.

The playlist will feature new releases from artists that users follow, as well as new releases from unknown artists that Spotify's algorithm believes users will enjoy.
Trend Themes
1. Personalized Playlists - The trend of personalized playlists created by AI algorithms opens opportunities for music streaming platforms to offer tailor-made music recommendations to users.
2. Automatic Discovery - The trend of automatic music discovery through algorithms allows platforms to continuously recommend new releases based on users' tastes, keeping them engaged and satisfied.
3. Enhanced User Experience - The trend of enhancing the user experience with curated playlists like Spotify's 'Release Radar' creates a competitive advantage by offering a seamless and personalized music discovery process.
Industry Implications
1. Music Streaming - The music streaming industry can leverage personalized playlists and automatic music discovery to attract and retain subscribers, improving user satisfaction and engagement.
2. Artificial Intelligence - The AI industry can disrupt music discovery by developing advanced algorithms that analyze user preferences and recommend new releases, leading to more accurate personalized suggestions.
3. Entertainment Technology - The entertainment technology industry can tap into the trend of enhancing user experience with curated playlists, offering innovative solutions and tools to music streaming platforms for better music discovery capabilities.
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