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Focused Crawling Using Context Graphs

Summary: Introduces a focused crawler that builds a context graph to locate topically relevant pages and the content that co-occurs with them, improving credit assignment along crawl paths. Leverages partial reverse crawling from large search engines to yield significant efficiency gains over standard focused crawling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8677
Venue
VLDB
Year
2000
Pagerank
0.00023944056
Overall Rank
409 | 97.16%
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
771 Distributed Hypertext Resource Discovery Through Examples 1999 VLDB 0.00016887664
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