ML System Design for Recommendations and Search


Jul 13, 12:00PM PDT(07:00PM GMT).
  • Free 195 Attendees
Description
Speaker
This event is hosted by SF Big Analytics Group. https://www.meetup.com/SF-Big-Analytics

How does system design for industrial recommendations and search look like? In this talk, Eugene Yan shares how its often split into:
- Latency-constrained online vs. less-demanding offline environments, and
- Fast but coarse candidate retrieval vs. slower but more precise ranking

We will also see examples of system design from companies such as Alibaba, Facebook, JD, DoorDash, LinkedIn, and maybe do a quick walk through on how to implement a candidate retrieval MVP.

Eugene Yan(Amazon)

Applied Scientist at Amazon, I design, build, and operate machine learning systems to serve customers at scale.
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