Where To: Crowd-Aided Path Selection
Summary: Introduces crowd-aided path selection using Routing Query (RQ) and Binary Routing Query (BRQ) to operationalize directional choices at intersections. Proposes budget-aware, dynamic question scheduling to reduce selection hardness, with simulations and real crowdsourcing data showing gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chen Jason Zhang
- 2. Yongxin Tong
- 3. Lei Chen
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,734 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 5.3482904e-05 |
| 7,117 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.826509e-05 |
| 11,788 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD | 4.1945683e-05 |
| 11,814 | Spatial Crowdsourcing: Challenges, Techniques, and Applications | 2017 | VLDB | 4.1945683e-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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