Budget Constrained Interactive Search for Multiple Targets
Summary: Budget-constrained interactive graph search for multiple targets (kBM-IGS): choose k selections within budget b to align with target hierarchy. Proposes a penalty-based closeness score, an expected-gain policy, and STBIS, kBM-DP; validated on large datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuliang Zhu (Hong Kong Baptist University)
- 2. Xin Huang (Hong Kong Baptist University)
- 3. Byron Choi (Hong Kong Baptist University)
- 4. Jiaxin Jiang (Hong Kong Baptist University)
- 5. Zhaonian Zou (Harbin Engineering University)
- 6. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{zhu_vldb21,
title = {{Budget Constrained Interactive Search for Multiple Targets}},
author = {Zhu, Xuliang and Huang, Xin and Choi, Byron and Jiang, Jiaxin and Zou, Zhaonian and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {890--902},
doi = {10.14778/3447689.3447694},
url = {https://doi.org/10.14778/3447689.3447694},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,191 | Interactive Graph Search for Multiple Targets on DAGs | 2025 | VLDB | 5.2110714e-05 |
| 9,535 | Interactive Graph Search Made Simple | 2025 | SIGMOD | 5.163649e-05 |
| 10,578 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 4.9793485e-05 |
| 10,850 | Noisy Interactive Graph Search: An Uncertainty-Based Approach with Online Modeling of Latent Expertise and Difficulty | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 198 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025555196 |
| 266 | Human-powered Sorts and Joins | 2012 | VLDB | 0.00022739124 |
| 787 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB | 0.00013988274 |
| 871 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00013343705 |
| 933 | Question Selection for Crowd Entity Resolution | 2013 | VLDB | 0.00013004422 |
| 987 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00012660627 |
| 1,042 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00012336872 |
| 1,472 | Crowdsourcing Algorithms for Entity Resolution | 2014 | VLDB | 0.00010558263 |
| 1,926 | Counting with the Crowd | 2013 | VLDB | 9.3637786e-05 |
| 2,242 | Automatic Categorization of Query Results | 2004 | SIGMOD | 8.7685327e-05 |
| 5,570 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 6.0811968e-05 |
| 6,925 | Interactive Graph Search | 2019 | SIGMOD | 5.6423723e-05 |
| 9,510 | DataSift: A Crowd-Powered Search Toolkit | 2014 | SIGMOD | 5.170263e-05 |
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| 1 | 1,053 | Answering Table Queries on the Web using Column Keywords | 2012 | VLDB |
| 2 | 3,767 | Multi-Query Optimization for Subgraph Isomorphism Search | 2017 | VLDB |
| 3 | 10,340 | Classifier Construction Under Budget Constraints | 2022 | SIGMOD |
| 4 | 10,850 | Noisy Interactive Graph Search: An Uncertainty-Based Approach with Online Modeling of Latent Expertise and Difficulty | 2026 | VLDB |
| 5 | 10,578 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD |
| 6 | 10,087 | Interactive Search for One of the Top-k | 2021 | SIGMOD |
| 7 | 787 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB |
| 8 | 9,535 | Interactive Graph Search Made Simple | 2025 | SIGMOD |
| 9 | 6,925 | Interactive Graph Search | 2019 | SIGMOD |
| 10 | 9,191 | Interactive Graph Search for Multiple Targets on DAGs | 2025 | VLDB |