The award‑winning industrial graph learning system developed by Peking University and Alibaba Mama combines novel dynamic graph embedding and GNN techniques, scales to millions of merchants, and has driven over 12% ad ROI improvement while publishing dozens of top‑conference papers.
This article outlines Kuaishou's two‑year exploration of multimodal large‑model techniques in advertising, detailing the challenges of content‑domain ad estimation, the COPE unified product representation framework, and the LEARN LLM knowledge‑transfer approach that together improve user interest modeling and business ROI.
This article presents Qifu Technology's comprehensive approach to credit loan advertising optimization, covering business workflow, audience segmentation, planning strategies, intelligent creative generation, data infrastructure, modeling, and AI-driven decision-making to improve ROI and user experience.
This article presents OPPO Andes Smart Cloud's intelligent growth algorithm framework for the smartphone sector, detailing industry background, data and model architecture, four real-world application cases—including AIGC content generation, multimodal recommendation, causal inference, and precise advertising—and summarizing key insights from a technical Q&A session.
Xiaohongshu’s commercial team modeled the real‑time bidding process for its “Fries” ad product, derived an optimal linear‑programming bid formula, and implemented a simple two‑parameter PID‑controlled scheme that meets client pacing, delivery guarantees, and platform profit goals while using practical heuristics.
The article examines the high costs of user acquisition in the FinTech industry, explains real‑time bidding mechanics, and proposes layered bidding and federated learning‑based user‑value prediction as optimal strategies to balance ad spend, impressions, and conversion quality.
Alibaba’s Xianyu platform uses a multi‑signal device fingerprinting system, UMID, to uniquely identify users across Android and iOS devices, storing the data in sharded MySQL, HiStore OLAP, and Tair caches, enabling precise ad bidding, conversion tracking, and scalable user‑growth strategies.
