Document Reordering for Faster Intersection
Summary: Document reordering for inverted indexes to speed up intersections, beyond compression. Introduces a cost-based model tied to query distribution, showing fundamental differences from size minimization and presenting a heuristic reordering that achieves large intersection-speedups over prior methods. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Qi Wang (New York University)
- 2. Torsten Suel (New York University)
BibTeX Citation
@article{wang_vldb19,
title = {{Document Reordering for Faster Intersection}},
author = {Wang, Qi and Suel, Torsten},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {5},
pages = {475--487},
doi = {10.14778/3303753.3303755},
url = {https://doi.org/10.14778/3303753.3303755},
year = {2019}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,655 | Efficient Parallel Lists Intersection and Index Compression Algorithms using Graphics Processing Units | 2011 | VLDB | 0.00010103504 |
| 1,717 | Improving the Performance of List Intersection | 2009 | VLDB | 9.9327227e-05 |
| 2,245 | Fast Set Intersection in Memory | 2011 | VLDB | 8.8734284e-05 |
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