Top-k Queries over Digital Traces
Summary: Top-k queries over digital traces are accelerated with association functions, dimensionality reduction, and a hierarchical index that co-locates entities. Mobility-model pruning is analyzed and validated on real and synthetic data, outperforming baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yifan Li
- 2. Xiaohui Yu
- 3. Nick Koudas
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,504 | LES3: Learning-based Exact Set Similarity Search | 2021 | VLDB | 4.1945683e-05 |
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