We will welcome papers that leverage Generative Artificial Intelligence (Gen AI) in e-commerce of particular interest include (but not limited to) the following topics:

  • Generative AI for Personalized Search and Recommendation Systems
  • Generative large language models (LLMs) for creating or improving product descriptions, reviews, and personalized advertising content that enhances user engagement.
  • Generative image models for creating new product images or enhancing the existing ones, generating personalized marketing images, or other visual forms of communicating products with customers.
  • Using large multi-modal generative models for creating product videos, improving quality of existing videos, integrating them with the platform, all in service of producing a seamless user experience in multi-modal e-commerce world.
  • Leveraging Gen AI for dynamic catalog creation and attribute extraction in the ever-evolving world of products.
  • Inventory management with Gen AI
  • Using Gen AI to enable virtual try-ons
  • LLM-driven generation of browsing and search recommendations, e.g., in situations of low recall.
  • LLM driven recommendations explainability by providing additional context on displayed items
  • Gen AI powered advertising and promotion systems: Systems that go beyond traditional advertising offerings such as creating a purchase baskets of promoted listings with a comprehensive message to a user.
  • Efficiency and scalability of Gen AI driven system
  • Customer Service Automation: LLM-driven chatbots and virtual assistants
  • Ethical implications of deploying Gen AI in e-Commerce, including concerns about privacy, transparency, trust and fairness.
  • Reproducibility of the LLMs and evaluation metrics.

Important dates

  • Paper submission deadline: 16th August 2024
  • Paper acceptance notification: 30 August 2024
  • Camera-ready manuscript deadline: 20th September 2024
  • Workshop: 25 October 2024

Submission Instructions:

  • Paper Length: Authors should submit papers with up to 5 pages, excluding references and supplementary materials.
  • Submission Portal: Please submit your papers via Easychair. Specific submission link and workshop ID will be provided soon.
  • Formatting Guidelines: Manuscripts should be submitted in PDF format, using the 2-column ACM sigconf template, see
  • Anonymity Requirement: Submissions must be fully anonymized to adhere to a double-blind review process.
  • Dual Submission Policy: The workshop welcomes both ongoing and unpublished work. Submissions under review or recently accepted at other venues are also eligible, provided they adhere to any overlapping publication policies.

Frequently Asked Questions (FAQ):

  • Q: Can I submit work currently under review elsewhere?
    • A: Yes, as long as it conforms to the dual submission policies of both the workshop and the other venue.
  • Q: Will the workshop papers be included in the main conference proceedings?
    • A: No, workshop papers will not be included in the main conference proceedings.
  • Q: How should I maintain anonymity if I’m from industry?
    • A: While author identities should remain undisclosed, it is permissible to mention organizations that provided significant resources or data in the paper, as long as specific personal or team details are not revealed.
  • Q: Can previously published papers be submitted to the workshop?
    • A: Yes, particularly if they are recent and highly relevant to the workshop’s theme. However, consider any restrictions from the original publication venue.

Confirmed speakers:

  • Himabindu Lakkaraju, Harvard University
  • Vinodh Kumar Sunkara, Meta
  • Manisha Verma, Amazon
  • Ning Xia, Ohio State University

Organizers:

  • Mansi Mane, Walmart Global Tech
  • Djordje Gligorijevic, eBay
  • Dingxian Wang, Upwork
  • Behzad Shahrasbi, Amazon
  • Topojoy Biswas, Walmart Global Tech
  • Evren Korpeoglu, Walmart Global Tech
  • Marios Savvides, CMU, Ultron AI