Name: System%20Design%20for%20Recommendations%20and%20Search
Uploaded: 2021-09-15T08:00:00.000Z

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The MLOps Community is where machine learning practitioners come together to define and implement MLOps.
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Applied Scientist

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'll 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.

System Design for Recommendations and Search

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