Searching Web Data Using Minhash Lsh
SIGMOD/PODS'16: International Conference on Management of Data San Francisco California USA June, 2016（2016）
摘要
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.
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