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Discovering Relative Importance of Skyline Attributes

Summary: Proposes p-skylines that inject relative attribute importance into skyline queries to shrink result sets. A discovery framework uses user-provided superior/inferior examples; existence NP-complete and optimal discovery FNP-complete, but a polynomial-time restricted version using only superior examples is tractable; experiments show accuracy and scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9889
Venue
VLDB
Year
2009
Pagerank
9.824482e-05
Overall Rank
1,998 | 86.11%
DOI
-

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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
707 Foundations of Preferences in Database Systems 2002 VLDB 0.00017782998
1,030 Preference SQL - Design, Implementation, Experiences 2002 VLDB 0.00014557349
2,500 Efficient Skyline Computation over Low-Cardinality Domains 2007 VLDB 8.6457563e-05
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