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A Query Engine for Probabilistic Preferences

Summary: Practical query engine for probabilistic preferences in relational data, supporting Repeated Insertion Model (RIM), a Mallows generalization. Novel conjunctive-query inference for RIM with shared computation, outperforming state-of-the-art solvers and delivering clear practical gains in experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5569
Venue
SIGMOD
Year
2018
Pagerank
4.4937074e-05
Overall Rank
8,538 | 40.61%
DOI
10.1145/3183713.3196923

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
11,331 The Gibbs–Rand Model 2022 PODS 4.1945683e-05
11,643 Query Evaluation in Election Databases 2019 PODS 4.1945683e-05
13,281 Supporting Hard Queries over Probabilistic Preferences 2020 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
74 Efficient Query Evaluation on Probabilistic Databases 2004 VLDB 0.00057857292
707 Foundations of Preferences in Database Systems 2002 VLDB 0.00017782998
1,197 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00013390321
4,803 A System for Management and Analysis of Preference Data 2014 VLDB 5.9107061e-05
8,541 Querying Probabilistic Preferences in Databases 2017 PODS 4.4937074e-05
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