Probabilistic Ranking of Database Query Results
Summary: Probabilistic ranking of large query results using IR-inspired models for structured data. Domain-independent, leverages data and workload statistics and correlations; customizable ranking functions; experiments show efficiency and quality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Surajit Chaudhuri
- 2. Gautam Das
- 3. Vagelis Hristidis
- 4. Gerhard Weikum
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,094 | Ranking Continuous Probabilistic Datasets | 2010 | VLDB | 6.4510938e-05 |
| 1,695 | A Probabilistic Framework for Vague Queries and Imprecise Information in Databases | 1990 | VLDB | 0.00010866183 |
| 1,633 | Relational link-based ranking | 2004 | VLDB | 0.00011062304 |
| 12,096 | Rank Discovery From Web Databases | 2013 | VLDB | 4.1905499e-05 |
| 5,767 | Indexing Correlated Probabilistic Databases | 2009 | SIGMOD | 5.3341473e-05 |
| 9,280 | Ranking Distributed Probabilistic Data | 2009 | SIGMOD | 4.3604461e-05 |
| 1,258 | Ordering the Attributes of Query Results | 2006 | SIGMOD | 0.00013001902 |
| 74 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00057797415 |
| 1,612 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00011142757 |
| 427 | Automated Ranking of Database Query Results | 2003 | CIDR | 0.0002350378 |