Retrieving Regions of Interest for User Exploration
Summary: LCMSR: length-constrained maximum-sum region query over PoIs to maximize keyword-weighted density inside a given ROI. NP-hard; (5+ε)-approx via integer-weight scaling and fast heuristics/greedy methods; real-data experiments show accuracy and practicality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Cao
- 2. Gao Cong
- 3. Christian S. Jensen
- 4. Man Lung Yiu
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,936 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 5.8150061e-05 |
| 7,374 | Towards Best Region Search for Data Exploration | 2016 | SIGMOD | 4.7439891e-05 |
| 8,822 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 4.437516e-05 |
| 9,197 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 4.3723013e-05 |
| 9,897 | Top-k Relevant Semantic Place Retrieval on Spatial RDF Data | 2016 | SIGMOD | 4.2559233e-05 |
| 9,999 | A Bouquet of Results on Maximum Range Sum: General Techniques and Hardness Reductions | 2026 | PODS | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,020 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.7766925e-05 |
| 2,911 | A Scalable Algorithm for Maximizing Range Sum in Spatial Databases | 2012 | VLDB | 7.9273624e-05 |
| 3,336 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD | 7.2009826e-05 |
| 3,842 | Approximate MaxRS in Spatial Databases | 2013 | VLDB | 6.7082659e-05 |
| 4,446 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.174662e-05 |
| 4,693 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 5.9867895e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,680 | Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration | 2018 | SIGMOD | 6.845947e-05 |
| 6,495 | The Flexible Socio Spatial Group Queries | 2019 | VLDB | 5.0334905e-05 |
| 9,197 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 4.3723013e-05 |
| 2,020 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.7766925e-05 |
| 1,262 | Efficient Query Processing in Geographic Web Search Engines | 2006 | SIGMOD | 0.00012982825 |
| 2,911 | A Scalable Algorithm for Maximizing Range Sum in Spatial Databases | 2012 | VLDB | 7.9273624e-05 |
| 4,936 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 5.8150061e-05 |
| 6,563 | Densely Connected User Community and Location Cluster Search in Location-Based Social Networks | 2020 | SIGMOD | 5.0038354e-05 |
| 7,374 | Towards Best Region Search for Data Exploration | 2016 | SIGMOD | 4.7439891e-05 |
| 4,693 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 5.9867895e-05 |