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Algorithmic Deduplication: MinHash & Locality-Sensitive Hashing

By Content Syndication & SEO Review Board

Executive Publishing Summary

Filtering scraped spam: implementing MinHash Jaccard similarity algorithms, k-shingles text parsing, and Locality-Sensitive Hashing (LSH) at scale.

Large syndication networks must detect scraped or slightly rephrased content across millions of incoming feed items using near-duplicate detection algorithms.

1. Deduplication Pipeline

  • K-Shingle Parsing: Breaking text into overlapping 5-word token shingles to capture linguistic structure.
  • MinHash Fingerprinting: Compressing huge shingle sets into 128-byte hash signatures using universal hashing functions.
  • LSH Bucketing: Partitioning signatures into hash buckets to find 85%+ identical documents in sub-millisecond lookups.
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