New ACQ framework boosts ad revenue by 6.20% on Kuaishou platform

Researchers have developed a two-stage framework called Automated Creatives Quota (ACQ) to optimize ad creative allocation in large-scale online advertising. The first stage uses a multi-task model to predict revenue based on creative quotas, accounting for skewed revenue distributions. The second stage frames quota allocation as a multiple-choice knapsack problem, solved efficiently to maximize advertising revenue under capacity constraints. This framework has been deployed on Kuaishou's advertising platform, resulting in a 6.20% increase in advertising revenue. AI

IMPACT This framework could improve ad revenue for platforms by optimizing creative generation and allocation.

RANK_REASON The cluster describes a research paper detailing a new framework and its experimental results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• ACQ
• arXiv
• Automated Creatives Quota
• Kuaishou
• Ruizhi Wang

• product
• paper

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