About Me

I am Reza Yousefi Maragheh, at the Data Science team-Walmart Labs’-Personalization Team. I got My Ph.D. in Industrial Eng (Data Analytics Track) from the University of Illinois Urbana-Champaign (UIUC). My Ph.D. thesis was on “Choice Modeling and Recommendation Optimization in Presence of Context Effects” supervised by Professor Xin Chen. My Research interests are Recommender Systems, Information Retrieval, Customer Intent Inference, and Optimization.

News:

• 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.