Machine Learning @Scale 2017
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Measurement and analysis of predictive feed ranking models on Instagram

Thomas uses the launch of Instagram’s feed ranking as a working example to talk through issues in quantifying network effects, while exploring unusual A/B testing techniques such as country-level tests, testing on balanced graph partitions, and author-side experiments.

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