Google’s diverse and ever-growing search domains present new challenges to machine learning

Google’s diverse and ever-growing search domains present new challenges to machine learning. They require designing effective similarity measures that are efficient to compute. In this talk, I will discuss several algorithmic advances and implementation solutions we have designed at Google to handle some of these problems for metric spaces as well as graph-based representations. The talk will discuss machine learning examples from a number of Google applications including Image, YouTube, and Structured Data Search.

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