DBScholar

Back to papers

Winnowing: Local Algorithms for Document Fingerprinting

Summary: Introduces local document fingerprinting—algorithms guaranteed to detect copies in large corpora. Proves a lower bound for any local approach and presents winnowing, an efficient method within 33% of that bound; validates on Web data and discusses MOSS usage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3484
Venue
SIGMOD
Year
2003
Pagerank
0.00012859554
Overall Rank
978 | 93.30%
DOI
10.1145/872757.872770

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{schleimer_sigmod03,
        title = {{Winnowing: Local Algorithms for Document Fingerprinting}},
        author = {Schleimer, Saul and Wilkerson, Daniel S. and Aiken, Alex},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872770},
        url = {https://dl.acm.org/doi/10.1145/872757.872770},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,284 Copy Detection Mechanisms for Digital Documents 1995 SIGMOD 0.00011332822
Previous Page 1 / 1 Next

Semantically Similar Papers