The “Gen AI for E-commerce” workshop explores the role of Generative Artificial Intelligence in transforming e-commerce through enhanced user experience and operational efficiency. E-commerce companies grapple with multiple challenges such as lack of quality content for products, subpar user experience, sparse datasets etc. Gen AI offers significant potential to address these complexities. Yet, deploying these technologies at scale presents challenges such as hallucination in data, excessive costs, increased latency response, and limited generalization in sparse data environments. This workshop will bring together experts from academia and industry to discuss these challenges and opportunities, aiming to showcase case studies, breakthroughs, and insights into practical implementations of Gen AI in e-commerce.

List of Topics

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:

• Personalized Search and Recommendation Systems: Advances in Gen AI that enable more personalized dynamic product and content recommendations based on user behavior and preferences.
• Generative Content Creation (Text): Explorations of generative large language models (LLMs) for creating or improving product descriptions, reviews, and personalized advertising content that enhances user engagement. – Generative Content Creation (Image): Explorations of 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. – Generative Content Creation ( Audio, Video and Multimodal): 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
• Virtual Try-Ons: Using Gen AI to enable virtual try-ons, allowing customers to visualize products on themselves or desired builds for fashion or beauty e-Commerce
• 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 that provide personalized customer service, support, and shopping assistance.
• Ethical Considerations in AI: Discussing the ethical implications of deploying Gen AI in e-Commerce, including concerns about privacy, transparency, trust and fairness.

Venue

The conference will be held in conjuction with the CIKM 2024 conference in Boise, Idaho on 25th October 2024.

Submission Guidelines

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.

Important dates

• Paper submission deadline: 09 August 2024
• Paper acceptance notification: 30 August 2024
• Camera-ready manuscript deadline: 13 September 2024
• Workshop: 25 October 2024