2 papers
cs.IR2026
KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng
Oleg Senkevich, Siyang Xu, Tianyi Jiang +13
Approximate Nearest Neighbor Search (ANNS) is a cornerstone algorithm for information retrieval, recommendation systems, and machine learning applications. While x86-based architec…
cs.IR2026
R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
Yuchen Miao, Mingxuan Cui, Yitong Zhu +2
This paper addresses two persistent challenges in sequential recommendation: (i) evidence insufficiency-cold-start sparsity together with noisy, length-varying item texts; and (ii)…