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The BINGO! System for Information Portal Generation and Expert Web Search

Summary: BINGO! is a system-focused crawler that combines crawling, classifier-driven prioritization, link analysis and text filtering to build topic-specific information portals from user-provided training seeds instead of relying on precomputed indexes. Paper describes architecture, integration choices, empirical lessons and experiments showing improved effectiveness and efficiency for expert web search. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
25
Venue
CIDR
Year
2003
Pagerank
5.093636e-05
Overall Rank
12,808 | 12.13%
DOI
-

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Authors

BibTeX Citation

@inproceedings{sizov_cidr03,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '03},
        title = {{The BINGO! System for Information Portal Generation and Expert Web Search}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Sizov, Sergej and Biwer, Michael and Graupmann, Jens and Siersdorfer, Stefan and Theobald, Martin and Weikum, Gerhard and Zimmer, Patrick},
        year = {2003}
}

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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
2,624 Enhanced hypertext categorization using hyperlinks 1998 SIGMOD 8.3307304e-05
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