Similarity Joins of Sparse Features
Summary: Introduces FastScalableSparseJoiner (FSSJ) for sparse-feature similarity joins. Uses quasi-prefix filtering that exploits element-skew to prune candidates and avoid broadcasting, enabling load-balanced, shared-nothing execution. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ahmed Metwally
- 2. Michael Shum
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