On 5th November in Mumbai, MixRadio, the world’s simplest music streaming service, has launched a new natively built recommendation engine, developed specifically to best deliver it’s one touch ‘Play Me’ personalized radio experience for a global audience.
The new engine curates a greater breadth of music in a more highly personalized way than ever before. It uses billions of data points from millions of consumers around the world, and uses them to deliver a completely relevant and unique listening experience. Listeners are delivered tracks from deeper into the catalogs of the artists they love, facilitating rediscovery of forgotten favorites alongside discovery of new artists. The new engine evolves the ‘Play Me’ feature of MixRadio to be an even more personal, even more effortless experience.
Jyrki Rosenberg, Head of MixRadio, comments “The challenge our development team have faced is curating overwhelming large catalog of music, 34 million tracks, for a single listener in a way which is completely relevant and personal. Our promise to listeners is to provide their own personal radio station at the touch of a single button, and the new engine lets us truly deliver on that promise”.
The new engine has been in development and evolution since 2010, MixRadio has been moving listeners to the new recommendation engine over the past months, completing the shift today. Initial reports show the new engine is improving retention and engagement with the service.
Melissa Price, Senior Product Manager from MixRadio adds “As a global music streaming company, it is important that this improved experience shared by everyone across the 31 countries where we operate. Our new recommendation engine has been developed to make the Play Me experience work perfectly on an international stage, spanning a truly global catalog of music. We have been collecting metadata for over a decade for the millions of tracks in our catalog, giving every track an in depth local relevance and context. We have years of experience in interpreting the data this provides, we have deep understanding of our markets and can make data driven decisions and improvements quickly, constantly improving the experience for the listener”.
The new engine curates a greater breadth of music in a more highly personalized way than ever before. It uses billions of data points from millions of consumers around the world, and uses them to deliver a completely relevant and unique listening experience. Listeners are delivered tracks from deeper into the catalogs of the artists they love, facilitating rediscovery of forgotten favorites alongside discovery of new artists. The new engine evolves the ‘Play Me’ feature of MixRadio to be an even more personal, even more effortless experience.
Jyrki Rosenberg, Head of MixRadio, comments “The challenge our development team have faced is curating overwhelming large catalog of music, 34 million tracks, for a single listener in a way which is completely relevant and personal. Our promise to listeners is to provide their own personal radio station at the touch of a single button, and the new engine lets us truly deliver on that promise”.
The new engine has been in development and evolution since 2010, MixRadio has been moving listeners to the new recommendation engine over the past months, completing the shift today. Initial reports show the new engine is improving retention and engagement with the service.
Melissa Price, Senior Product Manager from MixRadio adds “As a global music streaming company, it is important that this improved experience shared by everyone across the 31 countries where we operate. Our new recommendation engine has been developed to make the Play Me experience work perfectly on an international stage, spanning a truly global catalog of music. We have been collecting metadata for over a decade for the millions of tracks in our catalog, giving every track an in depth local relevance and context. We have years of experience in interpreting the data this provides, we have deep understanding of our markets and can make data driven decisions and improvements quickly, constantly improving the experience for the listener”.
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