The 2nd Workshop on Large Language Models for E-Commerce
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.
Authors
- Fali Wang (ORCID: https://orcid.org/0009-0000-8321-6365)
- Suhang Wang (ORCID: https://orcid.org/0000-0003-3448-4878)
- Jiliang Tang (ORCID: https://orcid.org/0000-0001-7125-3898)
- Zhen Li (ORCID: https://orcid.org/0009-0008-1247-0284)
- Jian Pei (ORCID: https://orcid.org/0000-0002-2200-8711)
- Jing‐Zhi Huang (ORCID: https://orcid.org/0000-0001-8769-9130)
- Yiwei Sun
- Qi He (ORCID: https://orcid.org/0000-0001-5257-6843)
- Dawei Yin (ORCID: https://orcid.org/0000-0002-0684-6205)
- Haoyu Han (ORCID: https://orcid.org/0000-0002-2529-6042)
- Xianfeng Tang (ORCID: https://orcid.org/0000-0003-1554-2761)
- Chen Luo (ORCID: https://orcid.org/0000-0001-5339-5817)
- Hui Liu (ORCID: https://orcid.org/0009-0008-9032-6413)
- Zhenwei Dai (ORCID: https://orcid.org/0000-0001-9200-687X)
Institutions
- Pennsylvania State University (US)
- Amazon (United States) (US)
- Duke University (US)
- Menlo School (US)
- Michigan State University (US)
- Baidu (China) (CN)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1145/3711896.3737869
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00