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Focused Crawling Using Context Graphs

Summary: Introduces focused crawling via context graphs modeling link hierarchies and co-occurring content around relevant pages. Combines this model with search-engine reverse-crawling signals for improved credit assignment and substantially higher crawling efficiency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h90e01f19d52f5c6b
Venue
VLDB
Year
2000
Pagerank
0.00011272973
Overall Rank
1,265 | 91.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{diligenti_vldb00,
        title = {{Focused Crawling Using Context Graphs}},
        author = {Diligenti, M. and Coetzee, F. M. and Lawrence, S. and Giles, C. L. and Gori, M.},
        journal = {PVLDB},
        series = {{VLDB} '00},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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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
3,346 Distributed Hypertext Resource Discovery Through Examples 1999 VLDB 7.3934136e-05
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