Reza Yousefi Maragheh

Reza Yousefi Maragheh

Ph.D. Data Science at Walmart Labs

About Me

I am Reza Yousefi Maragheh, a Staff Data Scientist working at Walmart Labs’-Personalization Team. I got my Ph.D from the University of Illinois Urbana-Champaign (UIUC)-Grainger College of Engineering. My Ph.D. thesis was on “Choice Modeling and Recommendation Optimization in Presence of Context Effects” (check it out here) supervised by Professor Xin Chen. My Research interests are Recommender Systems, Information Retrieval, NLP for RecSys, Customer Intent Inference, and Optimization. In the past two years, I was specifically involved in exploring/implementing large-scale language agent pipelines in classic ecormmerce tasks.

News:

  • April 2025: We are invited to run an Q&A session at Google Next Conference on Agentic AI applications in eCommerce domain, link
  • Jan 2025: Our Paper titled “MAGAG: Multi-Agent Generation Augmented Generation for Recommendation Explanation” is under review for COLING conference, Authors: Jiao Chen, Reza Yousefi Maragheh et.al.
  • Aug 2024: Our innovation in optimized training algorithm for mnl based models, titled ‘Systems and methods for hybrid optimization training of multinomial logit models’, has been filed with the United States Patent and Trademark Office (USPTO). Link-Authors: Reza Yousefi Maragheh et al.
  • Aug 2024: Our innovation in personalized recommendation systems, titled ‘System and method for recommending items based on enhanced user representations,’ has been filed with the United States Patent and Trademark Office (USPTO). Link-Authors: Aysenur Inan and Reza Yousefi Maragheh et al.
  • Dec 2023: Our Paper “Seller-side Outcome Fairness in Online Marketplaces” is presented at NIPS 2023, Link-Authors:Zikun Ye and Reza Yousefi Maragheh et al.
  • Dec 2023: “LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models” is presented at IEEE Big Data 2023, Link. Authors: Reza Yousefi Maragheh et al.
  • Nov 2023: Our Paper “GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation” is presented at ICDM 2023, Link. Authors: Ramin Giahi and Reza Yousefi Maragheh et al.
  • June 2023: Our paper, LLM-Based Aspect Augmentations for Recommendation Systems, is mentioned by Sumit Gupta, VP at Google: link
  • June 2023: Our paper, LLM-Based Aspect Augmentations for Recommendation Systems, is mentioned by Dylan Patel, Technology Reviewer, and Consultant: link
  • June 2023: Our Paper “LLM-Based Aspect Augmentations for Recommendation Systems” is presented at ICML 2023, Link. Authors: Reza Yousefi Maragheh et al.