CTR Prediction Using Neural Architecture

Ravi Krishna joins us today to discuss his recent work on a differentiable NAS framework for predicting ad CTR. He explained what CTR prediction is and how his NAS framework aids in the development of neural networks for better ad recommendations. Listen in to learn about his methodology, related literature, and findings.

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