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English(EN) Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces

新的Infinity Search方法提供了具有竞争力的近似向量搜索

研究人员开发了一种新颖的近似向量搜索方法,称为Infinity Search,它在q度量空间上运行。该方法利用投影算子将任意不相似函数转换为超度量空间,从而保留最近邻。该方法学习这些投影算子的近似值以有效地计算距离,并根据q的值在搜索速度和召回率之间进行权衡。实验结果表明,Infinity Search与现有的搜索技术相比具有竞争力。 AI

影响 这项研究可能导致更有效的大规模向量数据库处理方法,这对于推荐系统和相似性搜索等AI应用至关重要。

排序理由 该集群包含一篇详细介绍新的近似向量搜索算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新的Infinity Search方法提供了具有竞争力的近似向量搜索

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该集群包含一篇详细介绍新的近似向量搜索算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Antonio Pariente, Ignacio Hounie, Santiago Segarra, Alejandro Ribeiro ·

    Infinity Search:q-度量空间上的投影近似向量搜索

    arXiv:2506.06557v3 Announce Type: replace-cross Abstract: An ultrametric space or infinity-metric space is defined by a dissimilarity function that satisfies a strong triangle inequality in which every side of a triangle is not larger than the larger of the other two. We show tha…