Praveenkumar Kanumala

According to our database, Praveenkumar Kanumala authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, July, 2025

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, June, 2025

2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.

Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2024

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

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations.

Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020