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Task matching and scheduling for multiple workers in spatial crowdsourcing
2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '15
A new platform, termed spatial crowdsourcing, is emerging which enables a requester to commission workers to physically travel to some specified locations to perform a set of spatial tasks (i.e., tasks related to a geographical location and time). The current approach is to formulate spatial crowdsourcing as a matching problem between tasks and workers; hence the primary objective of the existing solutions is to maximize the number of matched tasks. Our goal is to solve the spatial
doi:10.1145/2820783.2820831
dblp:conf/gis/DengSZ15
fatcat:6jae6lg4fjht7mkj6kv355pf7i