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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
5.6873442e-05
Overall Rank
6,761 | 54.56%
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 0.0011402175
44 The R+-Tree: A Dynamic Multi-Dimensional Index for Objects 1987 VLDB 0.00045319457
342 The Onion Technique: Indexing for Linear Optimization Queries 2000 SIGMOD 0.00020520649
418 PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries 2001 SIGMOD 0.00018609134
672 Foundations of Preferences in Database Systems 2002 VLDB 0.00014922272
818 Finding k-Dominant Skylines in High Dimensional Space 2006 SIGMOD 0.00013666302
1,087 Regret-Minimizing Representative Databases 2010 VLDB 0.00012092041
1,992 Discovering Relative Importance of Skyline Attributes 2009 VLDB 9.2411032e-05
2,106 Computing k-Regret Minimizing Sets 2014 VLDB 9.0287481e-05
2,498 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.3800917e-05
2,545 Interactive Regret Minimization 2012 SIGMOD 8.3139128e-05
2,621 Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures 2011 SIGMOD 8.2130891e-05
3,380 Ad-hoc Top-k Query Answering for Data Streams 2007 VLDB 7.353368e-05
4,083 Learning User Preferences By Adaptive Pairwise Comparison 2015 VLDB 6.8143727e-05
4,833 Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative 2017 SIGMOD 6.3867086e-05
5,071 Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality 2018 SIGMOD 6.2863925e-05
5,627 Reconciling Skyline and Ranking Queries 2017 VLDB 6.0578274e-05
6,178 Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings 2018 VLDB 5.8581814e-05
6,382 Maximum Rank Query 2015 VLDB 5.805942e-05
6,721 RRR: Rank-Regret Representative 2019 SIGMOD 5.6966108e-05
6,972 Global Immutable Region Computation 2014 SIGMOD 5.6281923e-05
7,456 Strongly Truthful Interactive Regret Minimization 2019 SIGMOD 5.5209079e-05
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