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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)

Paper ID
4639
Venue
SIGMOD
Year
2012
Pagerank
5.093636e-05
Overall Rank
12,320 | 15.48%
DOI
10.1145/2213836.2213927

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Authors

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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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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