60 citations · 82 across the 3 of their papers we have counts for
3 papers
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
Rengan Xu, Junjie Yang, Yifan Xu +17
The integration of hardware accelerators has significantly advanced the capabilities of modern recommendation systems, enabling the exploration of complex ranking paradigms previou…
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting
Srayanta Mukherjee, Devashish Shankar, Atin Ghosh +4
Accurate demand forecasts can help on-line retail organizations better plan their supply-chain processes. The challenge, however, is the large number of associative factors that re…
Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce
Devashish Shankar, Sujay Narumanchi, H A Ananya +2
In this paper, we present a unified end-to-end approach to build a large scale Visual Search and Recommendation system for e-commerce. Previous works have targeted these problems i…