4 citations · 4 across the 9 of their papers we have counts for
7 papers · 1 filter
TRACE: Agentic Catalog Enrichment with Multi-source Evidence Grounding
Rohan Kumar, Steven Xu, Kyle MacDonald +4
Product catalogs underpin search, discovery, and recommendation in e-commerce, yet they are often attribute-sparse: the attributes shoppers and downstream systems rely on are eithe…
One Hierarchy, Two Systems: Semantic Product IDs for Discovery-Surface Ranking and Search-Page Query Reformulation
Steven Xu, Sanjyot Thete, Saathvik Dirisala +7
Multi-merchant e-commerce catalogs contain equivalent and related products under different merchant-scoped identifiers, fragmenting behavioral evidence across merchants. Expert-def…
Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
Emmanuel Aboah Boateng, Kyle MacDonald, Amardeep Kumar +2
Production LLM agents increasingly depend on real-time search, yet native search grounding bundles retrieval policy, provider choice, evidence injection, cost, latency, and generat…
Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
Luming Chen, Jiaqi Xi, Raghav Saboo +7
Optimizing industrial search ranking models solely for user engagement signals often introduces systematic biases, prioritizing popular or price-anchored items that may not satisfy…
Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants
Alejandro Breen Herrera, Aayush Sheth, Steven G. Xu +8
Conversational shopping assistants (CSAs) represent a compelling application of agentic AI, but moving from prototype to production reveals two underexplored challenges: how to eva…
Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study
Emmanuel Aboah Boateng, Kyle MacDonald, Akshad Viswanathan +1
Accurately mapping user queries to business categories is a fundamental Information Retrieval challenge for multi-category marketplaces, where context-sparse queries such as "Wildf…
Mine and Refine: Optimizing Graded Relevance in E-commerce Semantic Search Retrieval
Jiaqi Xi, Raghav Saboo, Luming Chen +8
Embedding-based retrieval (EBR) for large-scale e-commerce search faces three intertwined challenges: graded (non-binary) relevance where engagement signals are noisy and intent-va…