[ML-news] [Call for Papers]: RecSys 2025 Workshop on Generative AI for E-Commerce

[Mansi Mane]

Call For Papers - RecSys Workshop on Generative AI for E-Commerce https://genai-ecommerce.github.io/

Collocated with RecSys 2025
📅 September 22, 2025 — Prague, Czech Republic

Key dates:
📢 Submission Deadline: August 7, 2025
✅ Acceptance Notification: August 25, 2025
📝 Camera-Ready Due: September 4, 2025

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone. 

SUMMARY

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
• Optimizing conversational recommender systems and tackling their key challenges
• Leveraging Gen AI for improving recommendations using Knowledge Graphs enrichment, dynamic catalog creation, and attribute extraction in the ever-evolving world of products.
• Generative Content Creation:
• Text: Explorations of generative large language models (LLMs) for creating or improving product descriptions, reviews, and personalized advertising content that enhances retrieval and user engagement.
• 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.
• 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.
• 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: Sys- tems 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 e-Commerce recommender system
• 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
• 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.

SUBMISSION

We welcome contributions upto 5 pages, excluding references and supplementary materials.

ORGANIZING COMMITTEE

    Mansi Mane, Walmart Global Tech
    Djordje Gligorijevic, eBay
    Dingxian Wang, Upwork
    Topojoy Biswas, Walmart Global Tech
    Evren Korpeoglu, Walmart Global Tech
    Yongfeng Zhang, Rutgers University
    Marios Savvides, CMU, Ultron AI
    Julian McAuley, UCSD

Please reach out to mansimane5 at gmail dot com or djordjegligorijevic90  at gmail dot com for any question or clarification regarding the workshop.

Mansi Mane

Staff Data Scientist | Walmart Global Tech