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cs.IR2026
SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs
Bi Xue, Hong Wu, Lei Chen +29
Serving deep learning based recommendation models (DLRM) at scale is challenging. Existing approaches rely on dedicated ANN indexing and filtering services on CPUs, suffering from…
cs.IR2026
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling
Yunjiang Jiang, Ayush Agarwal, Yang Liu +1
Scaling large recommendation systems requires advancing three major frontiers: processing longer user histories, expanding candidate sets, and increasing model capacity. While prom…
cs.IR2025
MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
Wan Jiang, Xinyi Zang, Yudong Zhao +7
Modern recommender systems face significant computational challenges due to growing model complexity and traffic scale, making efficient computation allocation critical for maximiz…