DataFunSummit2024 Recommendation System Architecture Summit Overview
The DataFunSummit2024 Recommendation System Architecture Summit invites participants to explore cutting‑edge advances in large‑model recommendation, training and inference optimization, feature engineering, multi‑task modeling, and graph‑based techniques through a series of expert talks and panel discussions from leading industry and academic researchers.
DataFunSummit2024, held on June 22, brings together leading experts from companies such as Alibaba, Tencent, Huawei, and academic institutions to discuss the latest breakthroughs in recommendation systems, large‑model applications, and system architecture.
Key forums include training and inference optimization, core architecture design, algorithmic innovation, large‑model recommendation, cold‑start strategies, graph‑based methods, and multimodal recommendation, each featuring detailed speaker introductions and technical outlines.
Attendees will learn practical optimization techniques for GPU acceleration, embedding training, feature‑engineered pipelines, online learning for re‑ranking, and the integration of large language models into recommendation pipelines.
The summit also provides insights into real‑world deployments, performance bottlenecks, and future research directions, offering valuable knowledge for both academia and industry practitioners.
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DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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