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Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size

Summary: ORD and ORU marry skyline with top-k to relax preferences while delivering controllable output sizes. Qualitative study and benchmarks against baselines show improved personalization, flexible preferences, predictable cardinality, and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb2e77668a3570bba
Venue
SIGMOD
Year
2021
Pagerank
5.6900378e-05
Overall Rank
6,756 | 54.58%
DOI
10.1145/3448016.3457299

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mouratidis_sigmod21,
        title = {{Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size}},
        author = {Mouratidis, Kyriakos and Li, Keming and Tang, Bo},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457299},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457299},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0011405675
44 The R+-Tree: A Dynamic Multi-Dimensional Index for Objects 1987 VLDB 0.00045337853
342 The Onion Technique: Indexing for Linear Optimization Queries 2000 SIGMOD 0.00020530255
418 PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries 2001 SIGMOD 0.00018617842
671 Foundations of Preferences in Database Systems 2002 VLDB 0.00014929237
817 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00013672764
1,087 Regret-Minimizing Representative Databases 2010 VLDB 0.00012097722
1,990 Discovering Relative Importance of Skyline Attributes 2009 VLDB 9.2454758e-05
2,105 Computing k-Regret Minimizing Sets 2014 VLDB 9.0330207e-05
2,503 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.3786151e-05
2,545 Interactive Regret Minimization 2012 SIGMOD 8.3178501e-05
2,620 Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures 2011 SIGMOD 8.2168186e-05
3,379 Ad-hoc Top-k Query Answering for Data Streams 2007 VLDB 7.3568458e-05
4,082 Learning User Preferences By Adaptive Pairwise Comparison 2015 VLDB 6.8176001e-05
4,831 Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative 2017 SIGMOD 6.3897334e-05
5,068 Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality 2018 SIGMOD 6.2893698e-05
5,626 Reconciling Skyline and Ranking Queries 2017 VLDB 6.0606965e-05
6,176 Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings 2018 VLDB 5.8609559e-05
6,378 Maximum Rank Query 2015 VLDB 5.8086918e-05
6,716 RRR: Rank-Regret Representative 2019 SIGMOD 5.6993087e-05
6,971 Global Immutable Region Computation 2014 SIGMOD 5.6308579e-05
7,452 Strongly Truthful Interactive Regret Minimization 2019 SIGMOD 5.5235226e-05
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