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Searching Web Data using MinHash LSH

Summary: MinHash LSH applied to indexing and searching Web data, with a statistical tuning strategy for MinHash LSH. Empirical evaluation against inverted indexes and an online demo on real Web data reveal accuracy and performance tradeoffs and practical viability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5290
Venue
SIGMOD
Year
2016
Pagerank
5.7518123e-05
Overall Rank
6,860 | 52.94%
DOI
10.1145/2882903.2914838

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rao_sigmod16,
        title = {{Searching Web Data using MinHash LSH}},
        author = {Rao, BiChen and Zhu, Erkang},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2914838},
        url = {https://dl.acm.org/doi/10.1145/2882903.2914838},
        year = {2016}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,495 LSH Ensemble: Internet-Scale Domain Search 2016 VLDB 0.00010571481
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