Reza Yousefi Maragheh
Scholar

Reza Yousefi Maragheh

Google Scholar ID: TN4yTgIAAAAJ
Data Science at Walmart Labs-Personalization
Recommendation SystemsAssortment Planningchoice modelsinformation retrieval
Citations & Impact
All-time
Citations
107
 
H-index
5
 
i10-index
3
 
Publications
18
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation (SIGIR 2025)
  • - CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design (SIGIR 2025)
  • - CARTS: Collaborative Agents for Recommendation Textual Summarization (ICML 2025)
  • - Seller-side Outcome Fairness in Online Marketplaces (NIPS 2023)
  • - LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models (IEEE Big Data 2023)
  • - GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation (ICDM 2023)
  • - LLM-Based Aspect Augmentations for Recommendation Systems (ICML 2023)
  • - Awards and Recognition:
  • - Tutorial on Multi Agent Recommender Systems at RecSys Conference (September 2025)
  • - Lecture on Modern Topics on Recommender Systems at RecSys Summer School (September 2025)
  • - Review of ARAG work by Elvis Saravia, Quantum Zeitgeist, and Top Information Retrieval Papers of the Week
  • - Mentioned by Google VP Sumit Gupta and Technology Reviewer Dylan Patel (June 2023)
  • - Patents Filed:
  • - Systems and methods for hybrid optimization training of multinomial logit models (USPTO, August 2024)
  • - System and method for recommending items based on enhanced user representations (USPTO, August 2024)
Research Experience
  • - Work Experience: Staff Data Scientist at Walmart Labs' Personalization Team
  • - Research Projects: Exploring/Implementing large-scale language agent pipelines in classic e-commerce tasks
Education
  • - Ph.D. in Data Science from the University of Illinois Urbana-Champaign (UIUC) - Grainger College of Engineering
  • - Advisor: Professor Xin Chen
  • - Time: Not explicitly provided
Background
  • - Research Interests: Recommender Systems, Information Retrieval, NLP for RecSys, Customer Intent Inference, and Optimization
  • - Professional Field: Data Science
  • - Brief Introduction: Working as a Staff Data Scientist at Walmart Labs' Personalization Team, focusing on exploring/implementing large-scale language agent pipelines in classic e-commerce tasks.
Miscellany
  • - Personal Interests: Not provided