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: 4577
Venue: SIGMOD
Year: 2012
Pagerank: 4.1945683e-05
Overall Rank: 12,123 | 15.67%
DOI: -

Incoming Non-self Citations Over Time

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Authors

1. Anastasios Arvanitis
2. Georgia Koutrika

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,030	Preference SQL - Design, Implementation, Experiences	2002	VLDB	0.00014557349
1,262	RankSQL: Query Algebra and Optimization for Relational Top-k Queries	2005	SIGMOD	0.00012986539

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