Geometric Approaches for Top-k Queries
Summary: Geometric framing of top-k queries; geometric variants and practical extensions via computational geometry tools. Examines dimensionality effects on meaningfulness; parallels to nearest-neighbor search with implications for recsys and decision-support. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,555 | On Obtaining Stable Rankings | 2019 | VLDB | 5.4386174e-05 |
| 5,855 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD | 5.3006096e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 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 |
|---|---|---|---|---|
| 5,855 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD | 5.3006096e-05 |
| 1,542 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00011456321 |
| 8,079 | High-Dimensional Index Structures: Database Support for Next Decade's Applications | 1998 | SIGMOD | 4.5914115e-05 |
| 1,403 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00012176993 |
| 3,665 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB | 6.8633354e-05 |
| 7,276 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.7798595e-05 |
| 7,963 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.613363e-05 |
| 2,366 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB | 8.9523637e-05 |
| 4,278 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB | 6.2953764e-05 |
| 12,135 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB | 4.1945683e-05 |