Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries
Summary: Introduces MaxBRSTkNN, the first bichromatic reverse spatial-textual kNN query that jointly selects a location and keywords to maximize the set of users reached. NP-hard; the paper provides exact and approximate algorithms, enabling optimized, scalable spatial-textual advertising. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Farhana M. Choudhury (RMIT University)
- 2. J. Shane Culpepper (RMIT University)
- 3. Timos Sellis (RMIT University)
- 4. Xin Cao (Queen's University Belfast)
BibTeX Citation
@article{choudhury_vldb16,
title = {{Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries}},
author = {Choudhury, Farhana M. and Culpepper, J. Shane and Sellis, Timos and Cao, Xin},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {6},
pages = {456--467},
doi = {10.14778/2904121.2904122},
url = {https://doi.org/10.14778/2904121.2904122},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,000 | Querying Geo-Textual Data: Spatial Keyword Queries and Beyond | 2016 | SIGMOD | 5.2396658e-05 |
| 10,772 | RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem | 2026 | VLDB | 4.9769913e-05 |
| 11,671 | Expanding Reverse Nearest Neighbors | 2024 | VLDB | 4.9769913e-05 |
| 12,156 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 4.9769913e-05 |
| 12,187 | The Maximum Trajectory Coverage Query in Spatial Databases | 2019 | VLDB | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 545 | Influence Sets Based on Reverse Nearest Neighbor Queries | 2000 | SIGMOD | 0.00016599925 |
| 1,477 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00010546245 |
| 1,858 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.4893333e-05 |
| 3,030 | Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor | 2009 | VLDB | 7.7340451e-05 |
| 3,046 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 7.7164954e-05 |
| 3,439 | Progressive Computation of the Min-Dist Optimal-Location Query | 2006 | VLDB | 7.2960053e-05 |
| 4,242 | Creating Competitive Products | 2009 | VLDB | 6.705389e-05 |
| 4,548 | Identifying the Most Influential Data Objects with Reverse Top-k Queries | 2010 | VLDB | 6.5394775e-05 |
| 4,799 | Reverse Spatial and Textual k Nearest Neighbor Search | 2011 | SIGMOD | 6.4084993e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,776 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD |
| 2 | 1,858 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB |
| 3 | 8,668 | Top-K Nearest Keyword Search on Large Graphs | 2013 | VLDB |
| 4 | 8,409 | Reverse k Nearest Neighbors Query Processing: Experiments and Analysis | 2015 | VLDB |
| 5 | 7,053 | Exact Top-k Nearest Keyword Search in Large Networks | 2015 | SIGMOD |
| 6 | 3,528 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD |
| 7 | 4,576 | Collective Spatial Keyword Querying | 2011 | SIGMOD |
| 8 | 4,814 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD |
| 9 | 4,799 | Reverse Spatial and Textual k Nearest Neighbor Search | 2011 | SIGMOD |
| 10 | 3,030 | Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor | 2009 | VLDB |