With the expansion of recommendation scenarios such as advertising and content, the algorithm model is also constantly evolving and iterating. With the continuous growth of business, model training and output urgently need platform management. The main business scenarios of the vivo Internet machine learning platform include game distribution, stores, malls, content distribution, etc. This article will introduce the thinking and optimization ideas of vivo’s internal machine learning platform in construction and practice from two aspects: business scenarios and platform function implementation.

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