Machine Learning: The Art of Explore vs. Exploit

Mar 11, 2017

11:00am – 12:00pm CT

80 million users, nine billion radio stations, 75 billion thumbs. That's a lot of data points. Pandora provides an evolving set of sequential items, and needs to react in just a few milliseconds for each listener. There's also a variety of factors (musicological, social, geographical, generational) playing a critical role in deciding what music to play to a user. This presentation will show how a dynamic ensemble learning system that combines curational data and machine learning models provides a truly personalized experience. This approach allows P to switch from a lean back experience (exploitation) to a more exploration mode to discover new music tailored to each users individual tastes.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Details

Primary Entry:
Platinum Badge
Interactive Badge
Secondary Entry:
Music Badge
Film Badge
Format:

Solo

Type:

Session

Track:

Development & Code

Level:

Advanced