ICSI 2017: Advances in Swarm Intelligence pp 475-480 | Cite as
A Capacity Aware-Based Method of Accurately Accepting Tasks for New Workers
Abstract
The lack of a new worker’s capacity of accepting tasks seriously affects his/her incomes obtained by fulfilling the tasks issued by requesters. We propose a capability aware-based method of accurately accepting tasks for a new worker in this paper. In the proposed method, the problem of accepting tasks is first formulated as a constraint optimization problem with an unknown parameter. Then, the time consumption is estimated based on information provided by similar workers and tasks in the crowdsourcing platform. Finally, the strategy of accepting tasks is generated by solving the optimization problem using a genetic algorithm. We evaluate the proposed method based on data provided by Taskcn and compare the results obtained by the proposed method with the actual earnings of workers in the platform. The results show that the proposed method can be accurately aware of a new worker’s capacity of accepting tasks.
Keywords
Crowdsourcing New worker Accurate acceptance of tasks Capability aware Genetic algorithmReferences
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