Workshop on Generative AI for E-commerce
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.
Authors
- Djordje Gligorijevic (ORCID: https://orcid.org/0000-0003-4018-0213)
- Dingxian Wang
- Mansi Ranjit Mane
- Evren Körpeoğlu
- Topojoy Biswas (ORCID: https://orcid.org/0009-0006-0239-0606)
- Marios Savvides
- Behzed Shahrasbi
Institutions
- Amazon (United States) (US)
- Walmart (United States) (US)
- ResearchWorks (United States) (US)
- eBay (United States) (US)
Publication Details
- Published
- 2024-10-20
- DOI
- https://doi.org/10.1145/3627673.3679087
- Citations
- 1
- Primary Topic
- Customer churn and segmentation
- Type
- article
- Field-Weighted Citation Impact
- 0.44