Patent ID: 9411917
Filing Date: 2016-08-09
CPC Classification: G06F,G06Q

Claim Text:
1. A method for creating a performance statistical model for an image-analysis task on a crowdsourcing platform, the method comprising: collecting, by one or more processors, values of at least one output parameter corresponding to each combination of values of a set of input parameters, wherein the at least one output parameter corresponds to at least one of a task accuracy, a task completion time, or a task acceptance rate, and the set of input parameters corresponds to at least one of a task-incentive associated with the image-analysis task, a playback speed associated with the image-analysis task, a country in which the image-analysis task is posted, a lifetime of the image-analysis task, time available to complete the image-analysis task, days of a week on which the image-analysis task is attempted, a time of the day when the image-analysis task is attempted, a recurrence of the image-analysis task, skill set associated with a crowdworker, availability of the crowdworker to perform the image-analysis task, motivation of the crowdworker in performing the image-analysis task, intentions of the crowdworker in performing the image-analysis task, and difficulty level of the image-analysis task; determining, by the one or more processors, a distribution of the values of the at least one output parameter; creating, by the one or more processors, the performance statistical model, based on the set of input parameters and one or more characteristics associated with the distribution of the values of the at least one output parameter; and validating, by the one or more processors, the performance statistical model, wherein the validation comprises: