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Efficient Computation of Top-k Frequent Terms over Spatio-temporal Ranges

Summary: Top-k Frequent Spatio-Temporal Terms (kFST) queries over geotagged posts return exact keywords and frequencies within a spatiotemporal region. An R-tree augmented with top-k sorted term lists (STLs) balances index size and query speed, with theory-guided STL length and extensive real-data experiments against baselines on disk-resident data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5408
Venue
SIGMOD
Year
2017
Pagerank
4.7834983e-05
Overall Rank
7,265 | 49.46%
DOI
10.1145/3035918.3064032

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,478 Proportionality in Spatial Keyword Search 2021 SIGMOD 4.1945683e-05
11,655 Top-k Queries over Digital Traces 2019 SIGMOD 4.1945683e-05
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