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Similarity Search: A Matching Based Approach

Summary: Recasts similarity search as k-n-match, dynamically selecting n of d attributes to expose partial matches and avoid domination by highly dissimilar dimensions. A frequent variant aggregates answers across n, with attribute-optimal, disk-based algorithms outperforming kNN empirically. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9668
Venue
VLDB
Year
2006
Pagerank
5.8667204e-05
Overall Rank
6,483 | 55.53%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tung_vldb06,
        title = {{Similarity Search: A Matching Based Approach}},
        author = {Tung, Anthony K. H. and Zhang, Rui and Koudas, Nick and Ooi, Beng Chin},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {631--642},
        year = {2006}
}

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