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CNCC 2023

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Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 6, 2023 · Artificial Intelligence

Large Models and Recommendation Systems: Challenges, Opportunities, and Future Directions

At CNCC 2023, leading researchers and industry experts convened to examine how large language models can transform recommendation systems, outlining four core challenges—model integration, fluency versus intelligence, hallucination versus deception, and user understanding—while highlighting opportunities such as multimodal content, cold‑start solutions, zero‑shot ranking, instruction‑driven algorithms, and responsible, interactive recommendation pipelines.

AICNCC 2023Cold Start
0 likes · 16 min read
Large Models and Recommendation Systems: Challenges, Opportunities, and Future Directions
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 21, 2023 · Artificial Intelligence

Large Models and Recommendation Systems: Challenges, Opportunities, and Industry Insights (CNCC 2023 Technical Forum)

The CNCC 2023 Technical Forum highlighted how large models can boost recommendation systems with stronger generalization and knowledge understanding, while also raising challenges like high computational costs, interpretability, and ethics, featuring talks from experts at Xiaohongshu, USTC, Tsinghua, Renmin University, and Huawei.

CNCC 2023Industry TalkMachine Learning
0 likes · 8 min read
Large Models and Recommendation Systems: Challenges, Opportunities, and Industry Insights (CNCC 2023 Technical Forum)