META: An Efficient Matching-Based Method for Error-Tolerant Autocompletion
Summary: Meta proposes a matching-based framework for error-tolerant autocompletion, replacing trie-centric active-node computation with character-level matching. It introduces a compact tree index to maintain active nodes, an incremental top-k algorithm, and achieves 1–2 orders of magnitude speedups over state-of-the-art on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Deng (Tsinghua University)
- 2. Guoliang Li (Tsinghua University)
- 3. He Wen (Tsinghua University)
- 4. H. V. Jagadish (University of Michigan)
- 5. Jianhua Feng (Tsinghua University)
BibTeX Citation
@article{deng_vldb16,
title = {{META: An Efficient Matching-Based Method for Error-Tolerant Autocompletion}},
author = {Deng, Dong and Li, Guoliang and Wen, He and Jagadish, H. V. and Feng, Jianhua},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {10},
pages = {828--839},
doi = {10.14778/2977797.2977808},
url = {https://doi.org/10.14778/2977797.2977808},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,493 | Human-in-the-loop Data Integration | 2017 | VLDB | 5.6046905e-05 |
| 10,024 | Near-Duplicate Sequence Search at Scale for Large Language Model Memorization Evaluation | 2023 | SIGMOD | 5.1757914e-05 |
| 11,439 | TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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