1 citations · 1 across the 5 of their papers we have counts for
5 papers
Improving Item Discoverability in e-Commerce Search via Related Intent Generation
Ji Xin, Xiao Xiao, Ishan Bhatt +6
Traditional search systems are optimized to retrieve items that strictly match a query, often prioritizing precision over recall. In e-commerce marketplaces and particularly grocer…
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…
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…
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
Xiaochen Wang, Xiao Xiao, Ruhan Zhang +5
Efficient and accurate product relevance assessment is critical for user experiences and business success. Training a proficient relevance assessment model requires high-quality qu…
An Embedding-Based Grocery Search Model at Instacart
Yuqing Xie, Taesik Na, Xiao Xiao +7
The key to e-commerce search is how to best utilize the large yet noisy log data. In this paper, we present our embedding-based model for grocery search at Instacart. The system le…