Searching Web Data using MinHash LSH

B. Rao, Erkang Zhu
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引用次数: 7

Abstract

In this extended abstract, we explore the use of MinHash Locality Sensitive Hashing (MinHash LSH) to address the problem of indexing and searching Web data. We discuss a statistical tuning strategy of MinHash LSH, and experimentally evaluate the accuracy and performance, compared with inverted index. In addition, we describe an on-line demo for the index with real Web data.
使用MinHash LSH搜索Web数据
在这篇扩展摘要中,我们探讨了使用MinHash Locality Sensitive hash (MinHash LSH)来解决索引和搜索Web数据的问题。讨论了一种MinHash LSH的统计调优策略,并与倒排索引进行了比较,对其精度和性能进行了实验评估。此外,我们还描述了一个使用真实Web数据的索引的在线演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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