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English(EN) Building Navigable Graphs Without Search in Three Composable Stages

新方法构建无需搜索的可导航图

一篇新论文提出了一种无需依赖传统搜索算法即可构建可导航图的方法。该方法包括数据分区、评估每个分区内的配对,然后从这些候选者中选择边。这种方法详细分为三个阶段,旨在提高图构建的质量和效率,尤其适用于大型数据集。 AI

影响 这项研究可能导致更有效的方法来组织和导航大型数据集,从而可能影响信息检索系统。

排序理由 该条目是发表在arXiv上的研究论文,详细介绍了一种新的算法方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新方法构建无需搜索的可导航图

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该条目是发表在arXiv上的研究论文,详细介绍了一种新的算法方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Édgar Chávez ·

    构建无需搜索的三阶段可组合导航图

    Navigable graphs can be built without searching for neighbors: partition the data, evaluate every pair inside each part, and select each point's edges from the candidates. We give such a construction in three separable stages and show that the middle one decides the quality. The …