Spatio-Textual Similarity Joins
Summary: Spatio-textual similarity joins for objects with location and text, retrieving all near-and-similar pairs. Fuses spatial distance and set-similarity techniques, adds batch processing, and shows orders-of-magnitude speedups over baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Panagiotis Bouros (University of Hong Kong)
- 2. Shen Ge (University of Hong Kong)
- 3. Nikos Mamoulis (University of Hong Kong)
BibTeX Citation
@article{bouros_vldb13,
title = {{Spatio-Textual Similarity Joins}},
author = {Bouros, Panagiotis and Ge, Shen and Mamoulis, Nikos},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {1},
doi = {10.14778/2428536.2428537},
url = {https://doi.org/10.14778/2428536.2428537},
year = {2013}
}
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