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DataFunSummit
DataFunSummit
Nov 9, 2025 · Artificial Intelligence

How Kuaishou Boosted Ad Performance with Multimodal LLMs: COPE & LEARN Frameworks

This article reviews Kuaishou's two‑year exploration of large‑model techniques in advertising, detailing the challenges of content‑domain ad estimation, the use of multimodal and LLM technologies to harness full‑scope user behavior and external knowledge, and the COPE and LEARN frameworks that delivered measurable business gains.

AdvertisingKnowledge TransferMultimodal AI
0 likes · 6 min read
How Kuaishou Boosted Ad Performance with Multimodal LLMs: COPE & LEARN Frameworks
Kuaishou Tech
Kuaishou Tech
Sep 26, 2023 · Artificial Intelligence

Cross-Domain Product Representation (COPE): A Large-Scale Dataset and Baseline Model for Rich‑Content E‑Commerce

The paper introduces ROPE, the first large‑scale cross‑domain product recognition dataset covering detail pages, short videos and live streams, and proposes COPE, a dual‑tower multimodal model that learns unified product embeddings using contrastive and classification losses, achieving superior retrieval and few‑shot classification performance across domains.

DatasetDeep Learningcontrastive learning
0 likes · 13 min read
Cross-Domain Product Representation (COPE): A Large-Scale Dataset and Baseline Model for Rich‑Content E‑Commerce