I've Got 10 Million Songs In My Pocket. Now What?
The proverbial celestial jukebox has become a reality. With today's online music services a music fan is never more than a few clicks away from being able to listen to nearly any song that has ever been recorded.
This easy access to all the world's music presents a challenge to the music listener. How can one find new, interesting and relevant music among these millions of songs? How can a music listener separate the wheat from the chaff.
In this talk we will explore emerging tools and techniques that can be used to help a music fan explore, discover, organize and share music. Learn how machine learning, big data, data visualizations and the human music expert will all play a role in our music listening future.
- How will our music listening change now that we can walk around with nearly all of recorded music in our pocket?
- Why don't standard recommendation algorithms work very well for recommending music?
- How can we use big data to help us find new and interesting music?
- How can we use data visualization to help us explore, discover and organize our music?
- What is the role of the human music curator in this new listening world?
- Paul Lamere The Echo Nest
Paul Lamere The Echo Nest