3 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.IR2025
δ-EMG: A Monotonic Graph Index for Approximate Nearest Neighbor Search
Liming Xiang, Jing Feng, Ziqi Yin +5
Approximate nearest neighbor (ANN) search in high-dimensional spaces is a foundational component of many modern retrieval and recommendation systems. Currently, almost all algorith…
cs.IR2025
KBest: Efficient Vector Search on Kunpeng CPU
Kaihao Ma, Meiling Wang, Senkevich Oleg +19
Vector search, which returns the vectors most similar to a given query vector from a large vector dataset, underlies many important applications such as search, recommendation, and…