DBScholar

Back to papers

Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers

Summary: Reliable diversity with moving workers; maximize task reliability and space-time diversity for time-limited tasks. NP-hard; greedy, sampling, and divide-and-conquer approximations using a cost-model index for dynamic maintenance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11171
Venue
VLDB
Year
2015
Pagerank
5.3766157e-05
Overall Rank
8,747 | 39.99%
DOI
10.14778/2794367.2794370

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cheng_vldb15,
        title = {{Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers}},
        author = {Cheng, Peng and Lian, Xiang and Chen, Zhao and Fu, Rui and Chen, Lei and Han, Jinsong and Zhao, Jizhong},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {10},
        pages = {1022--1033},
        doi = {10.14778/2794367.2794370},
        url = {https://doi.org/10.14778/2794367.2794370},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,827 Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data 2007 VLDB 8.0831263e-05
10,032 gMission: A General Spatial Crowdsourcing Platform 2014 VLDB 5.1741314e-05
Previous Page 1 / 1 Next

Semantically Similar Papers