Optimizing Content Freshness of Relations Extracted From the Web Using Keyword Search
Summary: Defines content freshness for Web-derived data and keeps local copies up-to-date via a keyword-search interface. Selectivity-based keyword queries chosen to maximize freshness with minimum web traffic, outperforming naive baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mohan Yang
- 2. Haixun Wang
- 3. Lipyeow Lim
- 4. Min Wang
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 233 | Crawling the Hidden Web | 2001 | VLDB | 0.00031996412 |
| 1,279 | Best-Effort Cache Synchronization with Source Cooperation | 2002 | SIGMOD | 0.00012847281 |
| 1,304 | Synchronizing a database to Improve Freshness | 2000 | SIGMOD | 0.00012684735 |
| 1,538 | Google's Deep-Web Crawl | 2008 | VLDB | 0.00011455291 |
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