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KDD 2025Workshop Summaries

The 2nd Workshop on Large Language Models for E-Commerce

Haoyu Han 0001, Fali Wang, Chen Luo 0003, Hui Liu 0031, Jing Huang, Zhen Li, Zhenwei Dai, Qi He 0002, Yiwei Sun, Dawei Yin 0001, Suhang Wang, Jiliang Tang, Jian Pei 0001, Xianfeng Tang

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3711896.3737869 ↗

摘要

Large Language Models (LLMs) are revolutionizing E-Commerce by enabling product recommendation, search, classification, question answering, and advertising applications. Their increasing adoption in real-world systems underscores their potential; however, challenges persist in ensuring accuracy, efficiency, fairness, and privacy. This workshop aims to bring together researchers and industry practitioners to explore both the limitations and opportunities of LLMs in e-commerce. The workshop seeks to foster collaboration, bridge the gap between academia and industry, and drive innovation in the application of LLMs to E-Commerce through discussions on model design, algorithmic advancements, and practical deployment.