Dynamic Active Probing of Helpdesk Databases
Summary: Dynamic active probing selects minimal clarifying questions for helpdesk recommendations, using each answer to steer the next query in real time. Probabilistic model with data augmentation to resist incomplete/noisy data; robust clarifications outperform decision trees and CBR. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shenghuo Zhu (NEC Corporation)
- 2. Tao Li (Florida International University)
- 3. Zhiyuan Chen (University of Maryland)
- 4. Yihong Gong (NEC Corporation)
- 5. Dingding Wang (Florida International University)
BibTeX Citation
@article{zhu_vldb08,
title = {{Dynamic Active Probing of Helpdesk Databases}},
author = {Zhu, Shenghuo and Li, Tao and Chen, Zhiyuan and Gong, Yihong and Wang, Dingding},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {748--759},
doi = {10.14778/1454159.1454167},
url = {https://doi.org/10.14778/1454159.1454167},
year = {2008}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 308 | Shooting Stars in the Sky: An Online Algorithm for Skyline Queries | 2002 | VLDB | 0.00021787597 |
| 466 | Automated Ranking of Database Query Results | 2003 | CIDR | 0.00018014467 |
| 635 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00015527042 |
| 1,844 | Probabilistic Ranking of Database Query Results | 2004 | VLDB | 9.6314187e-05 |
| 2,784 | Towards Keyword-Driven Analytical Processing | 2007 | SIGMOD | 8.1271176e-05 |
| 4,622 | Context-Sensitive Ranking | 2006 | SIGMOD | 6.6014783e-05 |
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