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 (Microsoft)
- 2. Gautam Das (Microsoft)
- 3. Vagelis Hristidis (Florida International University)
- 4. Gerhard Weikum (Max Planck Institute)
BibTeX Citation
@article{chaudhuri_vldb04,
title = {{Probabilistic Ranking of Database Query Results}},
author = {Chaudhuri, Surajit and Das, Gautam and Hristidis, Vagelis and Weikum, Gerhard},
journal = {PVLDB},
series = {{VLDB} '04},
doi = {10.1016/B978-012088469-8.50078-4},
url = {https://doi.org/10.1016/B978-012088469-8.50078-4},
year = {2004}
}
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