With its patent pending graph-based recommendation algorithms, Melodia makes it easy to offer the right new music for your users to explore.
Melodia’s API offers a simple way to get personalized recommendations tailored to the user. With one single call (see explore.getExploreItems), you get customized track, artist, and genre suggestions dynamically curated to the user’s unique taste profile. Melodia’s recommendation engine analyzes all the user’s historical data (such as liked tracks and artists, skipped tracks, most frequently played tracks, etc.) to offer optimized new music for the user to explore. Melodia also extrapolates its suggestions by comparing the user to other users with similar taste profiles (collaborative filtering ) to offer a more humanistic approach to its recommendations.
For a more customized approach, Melodia’s API allows you to effortlessly find similar items to a given seed item. Melodia’s graph-based techniques inherently allows for a more efficient and superior exploration functionality compared to other technologies. Whereas other services merely offer similar items based on generic, global similarity measures, Melodia takes a much more methodical and personalized approach to finding the optimal set of items.