arXiv:2502.16931cs.LG2025-02被引 1
探讨机器学习为何未显著影响向量搜索，揭示两领域间的潜在连接。
Machine learning and high dimensional vector search
- 分析机器学习与向量搜索发展脱节的原因
- 梳理两领域间存在的多条交叉路径
- 适合关注算法融合的科研人员阅读
机器学习与向量搜索是两个在相近领域中平行发展的研究方向。然而，与大数据相关领域的多数情况不同，机器学习并未对向量搜索产生显著影响。本文通过一篇观点论文试图解释这一反常现象，并在此过程中探讨两领域之间的诸多桥梁关系。
原文摘要 · Abstract (English)
Machine learning and vector search are two research topics that developed in parallel in nearby communities. However, unlike many other fields related to big data, machine learning has not significantly impacted vector search. In this opinion paper we attempt to explain this oddity. Along the way, we wander over the numerous bridges between the two fields.
机器学习向量搜索算法融合
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