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Rank Discovery From Web Databases

Summary: Rank discovery over hidden web databases accessed through top-k interfaces. Proposes a taxonomy of ranking functions with principled randomized rank-estimation algorithms; proves deterministic methods are inefficient and validates results on real data, including Amazon. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10835
Venue
VLDB
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,285 | 15.72%
DOI
10.14778/2536222.2536238

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{thirumuruganathan_vldb13,
        title = {{Rank Discovery From Web Databases}},
        author = {Thirumuruganathan, Saravanan and Zhang, Nan and Das, Gautam},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        pages = {1582--1593},
        doi = {10.14778/2536222.2536238},
        url = {https://doi.org/10.14778/2536222.2536238},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,320 Privacy Implications of Database Ranking 2015 VLDB 5.6454465e-05
12,083 Query Reranking As A Service 2016 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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