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)
Incoming Non-self Citations Over Time
Authors
- 1. Kyriakos Mouratidis
- 2. Keming Li
- 3. Bo Tang
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,843 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB | 4.6335219e-05 |
| 10,477 | Accelerating Skyline Path Enumeration with a Core Attribute Index on Multi-attribute Graphs | 2025 | SIGMOD | 4.1905499e-05 |
| 10,989 | Directional Queries: Making Top-k Queries More Effective in Discovering Relevant Results | 2024 | SIGMOD | 4.1905499e-05 |
| 11,043 | Robust Best Point Selection under Unreliable User Feedback | 2024 | VLDB | 4.1905499e-05 |
| 11,197 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD | 4.1905499e-05 |
| 11,369 | tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space | 2022 | SIGMOD | 4.1905499e-05 |
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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.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,989 | Directional Queries: Making Top-k Queries More Effective in Discovering Relevant Results | 2024 | SIGMOD | 4.1905499e-05 |
| 5,660 | Query Refinement for Diverse Top-k Selection | 2024 | SIGMOD | 5.3859487e-05 |
| 2,351 | Multi-objective Query Processing for Database Systems | 2004 | VLDB | 8.9836468e-05 |
| 1,070 | Regret-Minimizing Representative Databases | 2010 | VLDB | 0.00014274615 |
| 5,259 | Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality | 2018 | SIGMOD | 5.5972902e-05 |
| 6,378 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.0844506e-05 |
| 2,967 | Processing a Large Number of Continuous Preference Top-k Queries | 2012 | SIGMOD | 7.7975455e-05 |
| 9,376 | Output-sensitive Evaluation of Prioritized Skyline Queries | 2015 | SIGMOD | 4.344689e-05 |
| 6,090 | Reconciling Skyline and Ranking Queries | 2017 | VLDB | 5.214198e-05 |
| 2,371 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB | 8.9443366e-05 |