Efficient Algorithms for Crowd-Aided Categorization
Summary: Online crowd-aided categorization under a category hierarchy, minimizing questions to place each object. Hardness holds even with known distribution; presents a 2-approximation and an FPTAS, plus an online strategy with near-optimal guarantees. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuanbing Li (Tsinghua University)
- 2. Xian Wu (Tsinghua University)
- 3. Yifei Jin (Tsinghua University)
- 4. Jian Li (Tsinghua University)
- 5. Guoliang Li (Tsinghua University)
BibTeX Citation
@article{li_vldb20,
title = {{Efficient Algorithms for Crowd-Aided Categorization}},
author = {Li, Yuanbing and Wu, Xian and Jin, Yifei and Li, Jian and Li, Guoliang},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {8},
pages = {1221--1233},
doi = {10.14778/3389133.3389139},
url = {https://doi.org/10.14778/3389133.3389139},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,633 | Budget Constrained Interactive Search for Multiple Targets | 2021 | VLDB | 5.724725e-05 |
| 9,200 | Interactive Graph Search for Multiple Targets on DAGs | 2025 | VLDB | 5.2086045e-05 |
| 9,543 | Interactive Graph Search Made Simple | 2025 | SIGMOD | 5.1612046e-05 |
| 10,589 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 4.9769913e-05 |
| 10,859 | Noisy Interactive Graph Search: An Uncertainty-Based Approach with Online Modeling of Latent Expertise and Difficulty | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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