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A method and system for completing a task executed in a crowd - sourced environment is disclosed . The method com prises, at a training phase: transmitting a training task to a plurality of users ; acquiring a plurality of training results responsive to the training task ; acquiring a respective user activity history associated with each user ; for each of the plurality of training results, assigning a label value ; gener ating a set of triples of training data; and training a machinelearning algorithm , the training including, determining for each triples of data a set of features representative of a property of the triples of training data ; and generating an inferred function based on the set of features, the inferred function being configured to determine a error parameter of a given result received from a given user to a given task