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Where To: Crowd-Aided Path Selection

Summary: Introduces Routing Queries and Binary Routing Queries that decompose crowd-based path comparison into intersection-level direction choices. Budget-aware algorithms dynamically select questions to reduce route-selection difficulty, validated on real crowdsourcing data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11085
Venue
VLDB
Year
2014
Pagerank
5.5111036e-05
Overall Rank
7,989 | 45.19%
DOI
10.14778/2733085.2733105

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb14,
        title = {{Where To: Crowd-Aided Path Selection}},
        author = {Zhang, Chen Jason and Tong, Yongxin and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {14},
        pages = {2005--2018},
        doi = {10.14778/2733085.2733105},
        url = {https://doi.org/10.14778/2733085.2733105},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,813 Efficient Algorithms for Crowd-Aided Categorization 2020 VLDB 6.0780519e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
9,401 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.2755515e-05
12,017 Spatial Crowdsourcing: Challenges, Techniques, and Applications 2017 VLDB 5.093636e-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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