Linkedin: Detecting Interference in A/B Tests

This is very cool. I've written about interference between groups in A/B testing before (Lyft does a lot of work in this area IIRC) but I've never come across quite such a straightforward explanation and clear description of a solution. Defining clusters as experiment groups makes a ton of sense.

Highly recommended read if you work at a company that has any social / marketplace component of your product.


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