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.

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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
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article

Workshop on Generative AI for E-commerce

Djordje Gligorijevic, Dingxian Wang, Mansi Ranjit Mane, Evren Körpeoğlu et al.
1 citations
Customer churn and segmentation
0.44
article

Workshop on Generative AI for E-commerce

Djordje Gligorijevic, Dingxian Wang, Mansi Ranjit Mane, Evren Körpeoğlu, Topojoy Biswas, Marios Savvides, Behzed Shahrasbi
article en
1 citations

Abstract

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.

Amazon (United States) (US), Walmart (United States) (US), ResearchWorks (United States) (US), eBay (United States) (US)
Openalex Percentile: Top 26%
Customer churn and segmentation
0.44
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Workshop on Generative AI for E-commerce — Djordje Gligorijevic, Dingxian Wang, et al. · (2024) | TGRS Research Map | TGRS