3 papers
cs.IR2026
Anatomy of a Decision: Uncertainty-aware Hierarchical Intent Learning via Flow Matching for Multimodal Recommendation
Yuchen Miao, Zijun Wang, Ke Liu +1
Modeling the underlying user intent is crucial for recommendation, but existing methods struggle with the inherent uncertainty and the dynamic, hierarchical nature of user interest…
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)…
cs.IR2025
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…