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PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale

Year: 2026

Type: conference-paper

Abstract: Recent advances in generative AI have substantially accelerated the creation of high-quality ad creatives, dramatically expanding the number of candidate variants per campaign. This shift increases the need for scalable dynamic creative optimization (DCO) systems that can match creatives to the most relevant audiences under stringent latency and cost constraints. We present PinDCO, a production DCO system for ad creative retrieval and selection on Pinterest, a billion-scale visual discovery platform.

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3773078.3831871

Authors: Yu Hao, Yuchun Li, Peimeng Sui, Meilin Liu, Tianyuan Cui, Hao Li, Zicong Zhou, Akanksha Baid

Institution: Pinterest (United States)

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7212954875

FWCI:

Cites: 32

Cited by:

Related to: 10