Approximating Opaque Top-k Queries

Summary: Approximates opaque top-k queries with a task-agnostic hierarchical index and a bandit. Histogram-based modeling targets fat tails and yields a constant-factor approximation, with up to 10× speedups over exhaustive scan. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7204
Venue: SIGMOD
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,471 | 27.16%
DOI: 10.1145/3725266

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Authors

1. Jiwon Chang
2. Fatemeh Nargesian

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
7	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0015496097
72	Combining Fuzzy Information from Multiple Systems	1996	PODS	0.00058577335
770	A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search	2021	VLDB	0.00016917602
1,808	Top-k Query Evaluation with Probabilistic Guarantees	2004	VLDB	0.00010486213
1,882	Tuplex: Data Science in Python at Native Code Speed	2021	SIGMOD	0.0001021625
2,896	Evaluating End-to-End Optimization for Data Analytics Applications in Weld	2018	VLDB	7.9452051e-05
3,648	One WITH RECURSIVE is Worth Many GOTOs	2021	SIGMOD	6.8831123e-05
3,876	The Design of an LLM-powered Unstructured Analytics System	2025	CIDR	6.6741456e-05
4,813	Putting Pandas in a Box	2021	CIDR	5.9049746e-05
4,909	A Method for Optimizing Opaque Filter Queries	2020	SIGMOD	5.8338804e-05
5,381	Selective Data Acquisition in the Wild for Model Charging	2022	VLDB	5.5399508e-05
5,731	Babelfish: Efficient Execution of Polyglot Queries	2022	VLDB	5.3502065e-05
8,158	MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates	2020	SIGMOD	4.5730772e-05
8,583	Efficient Execution of User-Defined Functions in SQL Queries	2023	VLDB	4.4919445e-05
8,653	ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse	2019	VLDB	4.475291e-05
8,672	Optimizing Video Selection LIMIT Queries With Commonsense Knowledge	2024	VLDB	4.4710897e-05
8,688	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	4.4673127e-05

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