This article details JD Advertising's shift from generic to domain‑specific large models, the design of AI‑driven ad agents, the end‑to‑end GRAM retrieval‑alignment system, CTR‑guided AIGC for creatives, ultra‑low‑latency inference techniques, and ARM‑based optimizations that together reshape modern ad marketing.
JD's advertising research team combines deep learning, multimodal modeling, reinforcement‑learning auctions, and generative recommendation to boost ad relevance, improve long‑tail product exposure, and overcome large‑model inference challenges in a high‑traffic e‑commerce environment.
This article details Meituan Waimai's feed advertising system, covering business characteristics, the evolution of estimation models, and practical implementations such as decision‑path modeling, ultra‑long/wide user modeling, full‑reconstruction techniques, and the integration of large language models for CTR prediction.
This article explains how Tencent's advertising system leverages multimedia AI techniques—including multi‑armed bandit, pairwise learning, and DeepFM models—to automatically select optimal templates, music, and stickers for image and video assets, thereby reducing production cost, improving creative quality, and boosting ad performance.
The article presents Tencent Advertising's comprehensive multimedia AI platform—including content understanding, intelligent creation, automated review, fingerprinting, and a large multimodal model—detailing their architectures, key techniques, and the significant performance and efficiency gains achieved across the ad ecosystem.
This article presents Tencent's advertising multimedia AI platform, detailing its intelligent video creation engine, fine‑grained ad content understanding, large‑scale similar‑ad retrieval system, and automated ad review pipeline, while also introducing the team and current recruitment opportunities.
This article presents DeepInsight, an industrial‑grade visual analytics platform that reveals the inner workings of large‑scale deep learning CTR prediction models, demonstrating how visualization can assess generalization, feature influence, and hidden‑layer representations to improve advertising performance.
