A framework for optimal worker selection in spatial crowdsourcing using Bayesian network
Spatial Crowdsourcing (SC) is a new paradigm of crowdsourcing applications. Unlike
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those
who accept the task are required to travel to a predefined location to complete it. Currently,
the primary aim of SC is to maximize the number of matched tasks or to minimize the
travelling distances of the workers. However, less focus is given in matching the right tasks
to the right workers, particularly in a heterogeneous tasks environment. To address this …
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those
who accept the task are required to travel to a predefined location to complete it. Currently,
the primary aim of SC is to maximize the number of matched tasks or to minimize the
travelling distances of the workers. However, less focus is given in matching the right tasks
to the right workers, particularly in a heterogeneous tasks environment. To address this …
[PDF][PDF] A Framework for Optimal Worker Selection in Spatial Crowdsourcing Using Bayesian Network
MDM RAHMAN, KI GHAUTH - scholar.archive.org
Spatial Crowdsourcing (SC) is a new paradigm of crowdsourcing applications. Unlike
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those
who accept the task are required to travel to a predefined location to complete it. Currently,
the primary aim of SC is to maximize the number of matched tasks or to minimize the
travelling distances of the workers. However, less focus is given in matching the right tasks
to the right workers, particularly in a heterogeneous tasks environment. To address this …
traditional crowdsourcing, SC outsources tasks to distributed potential workers, and those
who accept the task are required to travel to a predefined location to complete it. Currently,
the primary aim of SC is to maximize the number of matched tasks or to minimize the
travelling distances of the workers. However, less focus is given in matching the right tasks
to the right workers, particularly in a heterogeneous tasks environment. To address this …
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