Answering Planning Queries with the Crowd
Summary: Crowdsourcing subjective planning queries whose objectives resist formalization, constructing action/object sequences incrementally. An optimal-within-class question-selection algorithm minimizes crowd effort by adaptively eliciting the best next plan element. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haim Kaplan (Tel Aviv University)
- 2. Ilia Lotosh (Tel Aviv University)
- 3. Tova Milo (Tel Aviv University)
- 4. Slava Novgorodov (Tel Aviv University)
BibTeX Citation
@article{kaplan_vldb13,
title = {{Answering Planning Queries with the Crowd}},
author = {Kaplan, Haim and Lotosh, Ilia and Milo, Tova and Novgorodov, Slava},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {9},
pages = {697--708},
doi = {10.14778/2536360.2536369},
url = {https://doi.org/10.14778/2536360.2536369},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,572 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 6.078318e-05 |
| 7,230 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 5.5779439e-05 |
| 7,377 | Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets | 2015 | VLDB | 5.5381227e-05 |
| 8,144 | Where To: Crowd-Aided Path Selection | 2014 | VLDB | 5.3898812e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
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 | 0.0010679903 |
| 92 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034670735 |
| 198 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025546182 |
| 257 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00022958404 |
| 259 | Answering Queries using Humans, Algorithms and Databases | 2011 | CIDR | 0.00022916014 |
| 750 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00014258988 |
| 987 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00012655094 |
| 1,265 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011277921 |
| 2,430 | Deco: A System for Declarative Crowdsourcing | 2012 | VLDB | 8.4763599e-05 |
| 7,789 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB | 5.4509595e-05 |
| 9,328 | A Cross-Service Travel Engine for Trip Planning | 2011 | SIGMOD | 5.1923439e-05 |
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| 3 | 750 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD |
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| 5 | 5,615 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR |
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| 7 | 12,006 | Towards Crowd-aware Indoor Path Planning | 2021 | VLDB |
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| 9 | 934 | Question Selection for Crowd Entity Resolution | 2013 | VLDB |
| 10 | 5,572 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB |