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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)

Paper ID
6840
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,149 | 23.51%
DOI
10.1145/3626246.3653370

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BibTeX Citation

@inproceedings{metwally_sigmod24,
        title = {{Similarity Joins of Sparse Features}},
        author = {Metwally, Ahmed and Shum, Michael},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626246.3653370},
        url = {https://dl.acm.org/doi/10.1145/3626246.3653370},
        year = {2024}
}

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