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)
Incoming Non-self Citations Over Time
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Authors
- 1. Sergej Sizov
- 2. Michael Biwer
- 3. Jens Graupmann
- 4. Stefan Siersdorfer
- 5. Martin Theobald
- 6. Gerhard Weikum
- 7. Patrick Zimmer
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,767 | Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network | 2006 | VLDB | 4.6563056e-05 |
| 12,634 | From Focused Crawling to Expert Information: an Application Framework for Web Exploration and Portal Generation | 2003 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,606 | Enhanced hypertext categorization using hyperlinks | 1998 | SIGMOD | 0.00011174873 |
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