生成式推荐与广告大模型的真实落地挑战 | 直播预告
AI前线·2025-11-26 06:15

Group 1 - The core theme of the live broadcast is the practical challenges and advancements of search, recommendation, and advertising systems in the era of large models [2][4][7] - Experts from companies like Honor, Huawei, and JD.com will discuss the evolution and difficulties faced by search and advertising systems with the integration of large models [2][4][7] - Key challenges include scaling generative recommendations, the effectiveness of scaling laws in search and advertising, balancing online inference latency and costs, and integrating multimodal and behavioral large models throughout the entire process [2][4][7] Group 2 - The live broadcast is scheduled for November 26, from 20:00 to 21:30, hosted by Yan Lin, the content recommendation architecture leader at JD.com [3] - The event will feature experts such as Feng Xiaodong from Honor, Wang Hao from the University of Science and Technology of China, and Zhang Zehua from JD.com, focusing on the full-chain upgrade in recommendation and advertising [3][4] - The broadcast will cover practical insights into technical architecture, application cases, and engineering deployment related to large models, providing valuable information for various industries [5][7]