Efficient Algorithms for Answering the m-Closest Keywords Query
Summary: mCK queries are NP-hard; a 2-approx greedy algorithm is developed. Circle-enclosure yields 2/√3 and (2/√3+ε) approximations, and an exact method uses the approximate group to beat prior work, with extensive real-dataset experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{guo_sigmod15,
title = {{Efficient Algorithms for Answering the m-Closest Keywords Query}},
author = {Guo, Tao and Cao, Xin and Cong, Gao},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723723},
url = {https://dl.acm.org/doi/10.1145/2723372.2723723},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,414 | Effective Community Search over Large Spatial Graphs | 2017 | VLDB | 0.00010732477 |
| 4,748 | SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window | 2016 | VLDB | 6.4355262e-05 |
| 8,911 | Finding Attribute-aware Similar Regions for Data Analysis | 2019 | VLDB | 5.2534908e-05 |
| 9,000 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 5.2396658e-05 |
| 9,542 | SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries | 2017 | VLDB | 5.1612403e-05 |
| 9,871 | Deep Overlapping Community Search via Subspace Embedding | 2025 | SIGMOD | 5.115241e-05 |
| 11,892 | Example-based Spatial Pattern Matching | 2022 | VLDB | 4.9769913e-05 |
| 12,283 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,858 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.4893333e-05 |
| 2,945 | Spatio-Textual Similarity Joins | 2013 | VLDB | 7.8244366e-05 |
| 3,046 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 7.7164954e-05 |
| 3,528 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD | 7.2269229e-05 |
| 4,576 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.5228866e-05 |
| 5,115 | SEAL: Spatio-Textual Similarity Search | 2012 | VLDB | 6.2654746e-05 |
| 7,333 | Retrieving Regions of Interest for User Exploration | 2014 | VLDB | 5.5476074e-05 |
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| 1 | 3,867 | Keyword-aware Optimal Route Search | 2012 | VLDB |
| 2 | 6,030 | Answering Top-k Representative Queries on Graph Databases | 2014 | SIGMOD |
| 3 | 7,333 | Retrieving Regions of Interest for User Exploration | 2014 | VLDB |
| 4 | 2,731 | Keyword Search in Graphs: Finding r-cliques | 2011 | VLDB |
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| 7 | 8,668 | Top-K Nearest Keyword Search on Large Graphs | 2013 | VLDB |
| 8 | 1,446 | Finding and Approximating Top-k Answers in Keyword Proximity Search | 2006 | PODS |
| 9 | 4,576 | Collective Spatial Keyword Querying | 2011 | SIGMOD |
| 10 | 3,528 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD |