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Merging Ranks from Heterogeneous Internet Sources

Summary: Meta-ranking over heterogeneous, autonomous sources; defines a necessary-and-sufficient condition for a source to yield top-k results without inspecting all items. Gives an algorithm to extract top objects from compliant sources, enabling meta-brokers to harmonize diverse source rankings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8420
Venue
VLDB
Year
1997
Pagerank
0.00010170921
Overall Rank
1,899 | 86.80%
DOI
-

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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
72 Combining Fuzzy Information from Multiple Systems 1996 PODS 0.00058577335
195 Optimizing Queries over Multimedia Repositories 1996 SIGMOD 0.00035406558
3,734 STARTS: Stanford Proposal for Internet Meta-Searching 1997 SIGMOD 6.8095787e-05
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