Researchers have developed Automated Creatives Quota (ACQ), a framework for determining the optimal number of ad creatives to generate from a single photo in online advertising. ACQ consists of two stages: predicting expected revenue based on quota levels using a multi-task model, and solving a multiple-choice knapsack problem to allocate quotas under global capacity constraints. The framework was tested on Kuaishou's advertising platform and found to increase advertising revenue by 6.20%. The authors claim that ACQ can handle large-scale online advertising scenarios more efficiently than existing methods. --- Why it matters: This matters because it addresses a practical problem in digital advertising, where generating too many ad creatives can lead to diminishing returns on investment. Engineers working on AI-powered advertising platforms may be interested in implementing similar quota allocation frameworks to optimize revenue. Source: https://arxiv.org/abs/2412.06167