A Real-Time Whole Page Personalization Framework for E-Commerce. - Aditya Mantha; Anirudha Sundaresan; Shashank Kedia; Yokila Arora; Shubham Gupta; Gaoyang Wang; Praveenkumar Kanumala; Stephen D. Guo; Kannan Achan (IEEE BigData, 2020)

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. - Aditya Mantha; Yokila Arora; Shubham Gupta; Praveenkumar Kanumala; Zhiwei Liu 001; Stephen D. Guo; Kannan Achan (ICASSP, 2020)

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. - Rahul Radhakrishnan Iyer; Praveenkumar Kanumala; Stephen D. Guo; Kannan Achan (CoRR, 2020)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. - Luyi Ma; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Jason H. D. Cho; Praveenkumar Kanumala; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2024)

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation. - Reza Yousefi Maragheh; Pratheek Vadla; Priyank Gupta; Kai Zhao; Aysenur Inan; Kehui Yao; Jianpeng Xu; Praveenkumar Kanumala; Jason H. D. Cho; Sushant Kumar (CoRR, 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)