Reverse Spatial and Textual k Nearest Neighbor Search
Summary: Defines RSTkNN: objects for which the query lies among their top-k by spatial-textual similarity. Proposes IUR-tree hybrid index with branch-and-bound search and a clustered IUR-tree variant to prune spatial distance and textual relevance for scalable processing. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaheng Lu
- 2. Ying Lu
- 3. Gao Cong
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,149 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 9.4266468e-05 |
| 3,748 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD | 6.7912604e-05 |
| 5,232 | SEAL: Spatio-Textual Similarity Search | 2012 | VLDB | 5.6136151e-05 |
| 7,277 | Exact Top-k Nearest Keyword Search in Large Networks | 2015 | SIGMOD | 4.7794907e-05 |
| 7,462 | Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries | 2016 | VLDB | 4.7233035e-05 |
| 8,822 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 4.4417735e-05 |
| 11,172 | Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries | 2023 | SIGMOD | 4.1945683e-05 |
| 11,655 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 4.1945683e-05 |
| 11,774 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 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 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 47 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.0007015885 |
| 601 | Influence Sets Based on Reverse Nearest Neighbor Queries | 2000 | SIGMOD | 0.00019375875 |
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |
| 1,528 | A Model for the Prediction of R-tree Performance | 1996 | PODS | 0.00011497734 |
| 1,682 | Discovery of Influence Sets in Frequently Updated Databases | 2001 | VLDB | 0.00010923103 |
| 1,933 | Reverse kNN Search in Arbitrary Dimensionality | 2004 | VLDB | 0.00010038508 |
| 4,070 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD | 6.4784181e-05 |
| 4,525 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.1116751e-05 |
| 6,045 | FINCH: Evaluating Reverse k-Nearest-Neighbor Queries on Location Data | 2008 | VLDB | 5.2372658e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,172 | Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries | 2023 | SIGMOD | 4.1945683e-05 |
| 1,514 | Indexing Land Surface for Efficient kNN Query | 2008 | VLDB | 0.00011593275 |
| 9,309 | Reverse k Nearest Neighbors Query Processing: Experiments and Analysis | 2015 | VLDB | 4.3571035e-05 |
| 11,239 | TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks | 2023 | VLDB | 4.1945683e-05 |
| 1,933 | Reverse kNN Search in Arbitrary Dimensionality | 2004 | VLDB | 0.00010038508 |
| 6,012 | Clue-based Spatio-textual Query | 2017 | VLDB | 5.2415551e-05 |
| 4,070 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD | 6.4784181e-05 |
| 47 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.0007015885 |
| 7,462 | Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries | 2016 | VLDB | 4.7233035e-05 |
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |