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Determining Text Databases to Search in the Internet

Summary: Introduces query-specific database usefulness estimation, counting documents sufficiently similar to the query to select which Internet text collections to search. Also solves collection fusion by calibrating local similarity thresholds to the global ranking criterion. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8664
Venue
VLDB
Year
1998
Pagerank
0.00010191388
Overall Rank
1,625 | 88.86%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{meng_vldb98,
        title = {{Determining Text Databases to Search in the Internet}},
        author = {Meng, Weiyi and Liu, King-Lup and Yu, Clement and Wang, Xiaodong and Chang, Yuhsi and Rishe, Naphtali},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {14},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,016 Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies 1995 VLDB 9.3030756e-05
3,022 Merging Ranks from Heterogeneous Internet Sources 1997 VLDB 7.8398496e-05
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