How does Goombah make music recommendations?
Goombah uses a unique methodology to analyze music from user collections and clusters to deliver the best recommendations to music lovers. Building on information from its desktop application launched in late 2006, Goombah analyzes the music and play patterns in music libraries to determine what mix of music people really like. Rather than analyzing components of tracks or linking similar artists together, Goombah uses the music taste of thousands of clusters of real people to make recommendations. The result is recommendations that are less predictable and more relevant. With more than 16 million tracks in user libraries, the music discovered with Goombah is targeted and full of delightful surprises – not just more of the same.
