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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
10647
Venue
VLDB
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,088 | 15.91%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,642 Privacy Implications of Database Ranking 2015 VLDB 4.9794512e-05
11,883 Query Reranking As A Service 2016 VLDB 4.1945683e-05
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