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I've Got 10 Million Songs In My Pocket. Now What?

Description

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.

Questions Answered

  1. How will our music listening change now that we can walk around with nearly all of recorded music in our pocket?
  2. Why don't standard recommendation algorithms work very well for recommending music?
  3. How can we use big data to help us find new and interesting music?
  4. How can we use data visualization to help us explore, discover and organize our music?
  5. What is the role of the human music curator in this new listening world?

Tags

data visualization, big data, music discovery

Meta

Event
Interactive
Category
Solo
Theme
Content and Distribution
Level
Advanced

Speakers

Organizer

Paul Lamere The Echo Nest

Additional Supporting Materials


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