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 |
|---|---|---|---|---|
| 4,925 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 5.8226582e-05 |
| 7,376 | Towards Best Region Search for Data Exploration | 2016 | SIGMOD | 4.7485457e-05 |
| 8,822 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 4.4417735e-05 |
| 9,193 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 4.3764958e-05 |
| 9,898 | Top-k Relevant Semantic Place Retrieval on Spatial RDF Data | 2016 | SIGMOD | 4.2600049e-05 |
| 10,000 | A Bouquet of Results on Maximum Range Sum: General Techniques and Hardness Reductions | 2026 | PODS | 4.1945683e-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 |
|---|---|---|---|---|
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |
| 2,906 | A Scalable Algorithm for Maximizing Range Sum in Spatial Databases | 2012 | VLDB | 7.9350108e-05 |
| 3,748 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD | 6.7912604e-05 |
| 3,805 | Approximate MaxRS in Spatial Databases | 2013 | VLDB | 6.7521192e-05 |
| 4,525 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.1116751e-05 |
| 4,786 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 5.9235651e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,919 | Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration | 2018 | SIGMOD | 6.631077e-05 |
| 6,499 | The Flexible Socio Spatial Group Queries | 2019 | VLDB | 5.0382007e-05 |
| 9,193 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 4.3764958e-05 |
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |
| 1,220 | Efficient Query Processing in Geographic Web Search Engines | 2006 | SIGMOD | 0.00013223504 |
| 2,906 | A Scalable Algorithm for Maximizing Range Sum in Spatial Databases | 2012 | VLDB | 7.9350108e-05 |
| 4,925 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 5.8226582e-05 |
| 6,570 | Densely Connected User Community and Location Cluster Search in Location-Based Social Networks | 2020 | SIGMOD | 5.0065377e-05 |
| 7,376 | Towards Best Region Search for Data Exploration | 2016 | SIGMOD | 4.7485457e-05 |
| 4,786 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 5.9235651e-05 |