e-commerce search 1intent generation 1large language models 1retrieval augmentation 1tail query handling 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Improving Item Discoverability in e-Commerce Search via Related Intent Generation
Ji Xin, Xiao Xiao, Ishan Bhatt +6
The paper presents a two‑stage system that generates related user intents to expand recall in e‑commerce search, using a large language model for head queries and a fine‑tuned smal…
cs.AI2026
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
Yuan Zhong, Chuanwei Ruan, Moein Hasani +3
The rapid growth of online grocery shopping requires recommendation systems that capture cyclical purchasing behavior and diverse user intents. Traditional item-level methods face…
cs.AI2026
A Cascaded Generative Approach for e-Commerce Recommendations
Moein Hasani, Hamidreza Shahidi, Trace Levinson +4
Personalized storefronts in large e-commerce marketplaces are often assembled from many independent components: static themes per page section ("placement"), retrieval systems to f…