GroupFinder: A New Approach to Top-K Point-of-Interest Group Retrieval
Summary: Introduces top-k retrieval of nearby groups of PoIs matching keyword and spatial queries, rather than individual locations. Maps group semantics to user-facing parameters and uses efficient search to avoid combinatorial explosion in practical settings. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Kenneth S. Bøgh (Aarhus University)
- 2. Anders Skovsgaard (Aarhus University)
- 3. Christian S. Jensen (Aarhus University)
BibTeX Citation
@article{bgh_vldb13,
title = {{GroupFinder: A New Approach to Top-K Point-of-Interest Group Retrieval}},
author = {Bøgh, Kenneth S. and Skovsgaard, Anders and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1226--1229},
doi = {10.14778/2536274.2536300},
url = {https://doi.org/10.14778/2536274.2536300},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,991 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 5.2421474e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,477 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00010551239 |
| 4,574 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.5257688e-05 |
| 13,984 | SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects | 2012 | VLDB | - |
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