Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries
Summary: Evaluates spatial keyword queries for geo-textual objects; TkQ merges spatial proximity and text relevance, shown effective. DrW combines neural local-interaction text relevance with a query-dependent balance of proximity, outperforming SOTA. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Shang Liu (Nanyang Technological University)
- 2. Gao Cong (Nanyang Technological University)
- 3. Kaiyu Feng (Beijing Institute of Technology)
- 4. Wanli Gu (Meituan)
- 5. Fuzheng Zhang (Meituan)
BibTeX Citation
@inproceedings{liu_sigmod23,
title = {{Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries}},
author = {Liu, Shang and Cong, Gao and Feng, Kaiyu and Gu, Wanli and Zhang, Fuzheng},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588691},
url = {https://dl.acm.org/doi/10.1145/3588691},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,600 | DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph | 2025 | SIGMOD | 5.4854217e-05 |
| 11,235 | GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval | 2025 | VLDB | 4.9769913e-05 |
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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 |
|---|---|---|---|---|
| 1,232 | Efficient Query Processing in Geographic Web Search Engines | 2006 | SIGMOD | 0.00011406666 |
| 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 |
| 3,046 | 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 |
| 4,256 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.6979143e-05 |
| 4,576 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.5228866e-05 |
| 4,799 | Reverse Spatial and Textual k Nearest Neighbor Search | 2011 | SIGMOD | 6.4084993e-05 |
| 9,694 | Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks | 2022 | VLDB | 5.1384087e-05 |
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