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

By PulseAugur Editorial · [1 sources] ·

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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

  1. arXiv cs.AI TIER_1 English(EN) · Ruizhi Wang, Yu Rong, Kai Liu, Bingjie Li, Qingpeng Cai, Fei Pan, Peng Jiang ·

    ACQ: A Deployed Two-Stage Framework for Automated Creative Quota Allocation in Large-Scale Online Advertising

    arXiv:2412.06167v2 Announce Type: replace Abstract: In digital advertising, demand-side platforms (DSPs) allow advertisers to create multiple ad creatives from a single photo for real-time bidding. While increasing the number of creatives can improve bidding opportunities, it can…

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