2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
NBQ: Next-Best-Question for Dynamic Profiling
Yimin Shi, Clarice Wang, Haixun Wang +1
Many real-world conversational settings for knowledge discovery, including podcasts, hiring screens, and marketplaces, require a purpose-driven understanding of a person. We study…
Rethinking E-Commerce Search
Haixun Wang, Taesik Na
E-commerce search and recommendation usually operate on structured data such as product catalogs and taxonomies. However, creating better search and recommendation systems often re…
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…