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Output-sensitive Evaluation of Prioritized Skyline Queries

Summary: Proposes an output-sensitive divide-and-conquer algorithm for p-skyline queries under non-compensatory priority-based preferences. Also provides a benchmarking framework to sample prioritized relations and study data-correlation effects, with experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4957
Venue
SIGMOD
Year
2015
Pagerank
4.344689e-05
Overall Rank
9,376 | 34.84%
DOI
10.1145/2723372.2723736

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,090 Reconciling Skyline and Ranking Queries 2017 VLDB 5.214198e-05
7,845 Progressive Join Algorithms Considering User Preference 2021 CIDR 4.6327267e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
706 Foundations of Preferences in Database Systems 2002 VLDB 0.00017777858
1,032 Preference SQL - Design, Implementation, Experiences 2002 VLDB 0.00014546409
1,471 Maximal Vector Computation in Large Data Sets 2005 VLDB 0.0001181903
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