3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia, Chi-Hua Wang, Joshua Mabry +1
The evaluation of synthetic data generation is crucial, especially in the retail sector where data accuracy is paramount. This paper introduces a comprehensive framework for assess…
cs.AI2024
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
Yu Xia, Sriram Narayanamoorthy, Zhengyuan Zhou +1
The development of open benchmarking platforms could greatly accelerate the adoption of AI agents in retail. This paper presents comprehensive simulations of customer shopping beha…
stat.AP2023
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
Yu Xia, Ali Arian, Sriram Narayanamoorthy +1
Significant research effort has been devoted in recent years to developing personalized pricing, promotions, and product recommendation algorithms that can leverage rich customer d…