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arXiv · 1906.10095

An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space

Cun Mu·Binwei Yang·Zheng Yan
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Abstract

In this paper, we compare the performances of FAISS and FENSHSES on nearest neighbor search in Hamming space--a fundamental task with ubiquitous applications in nowadays eCommerce. Comprehensive evaluations are made in terms of indexing speed, search latency and RAM consumption. This comparison is conducted towards a better understanding on trade-offs between nearest neighbor search systems implemented in main memory and the ones implemented in secondary memory, which is largely unaddressed in literature.

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BibTeXRIS

Cun Mu, Binwei Yang, Zheng Yan. 2019-06-24. An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space. https://arxiv.org/abs/1906.10095

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