PrefDB: Bringing Preferences Closer to the DBMS
Summary: PrefDB introduces a preference-aware relational model and algebra to express varied preferential queries. Hybrid, non-intrusive to the core, enables operator-level optimizations; PrefDBAdmin aids design, testing, and tuning of preferences. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Anastasios Arvanitis (National Technical University of Athens)
- 2. Georgia Koutrika (IBM)
BibTeX Citation
@inproceedings{arvanitis_sigmod12,
title = {{PrefDB: Bringing Preferences Closer to the DBMS}},
author = {Arvanitis, Anastasios and Koutrika, Georgia},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213927},
url = {https://dl.acm.org/doi/10.1145/2213836.2213927},
year = {2012}
}
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 973 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.00012874284 |
| 1,338 | Preference SQL - Design, Implementation, Experiences | 2002 | VLDB | 0.00011117197 |
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