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 |
|---|---|---|---|---|
| 7,616 | DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph | 2025 | SIGMOD | 5.4672835e-05 |
| 11,291 | GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval | 2025 | VLDB | 4.9605343e-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 |
|---|---|---|---|---|
| 1,239 | Efficient Query Processing in Geographic Web Search Engines | 2006 | SIGMOD | 0.00011374405 |
| 1,480 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00010511472 |
| 1,867 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.4581343e-05 |
| 3,054 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 7.6909799e-05 |
| 3,535 | Collective Spatial Keyword Queries: A Distance Owner-Driven Approach | 2013 | SIGMOD | 7.203751e-05 |
| 4,272 | Retrieving Top-k Prestige-Based Relevant Spatial Web Objects | 2010 | VLDB | 6.6759362e-05 |
| 4,592 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 6.5016975e-05 |
| 4,821 | Reverse Spatial and Textual k Nearest Neighbor Search | 2011 | SIGMOD | 6.3876508e-05 |
| 9,723 | Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks | 2022 | VLDB | 5.1214179e-05 |
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