Hiring, routing, fusing and paying for crowdsourcing contributions
AssigneeMicrosoft Corporation
InventorsEric J. Horvitz, Semiha E. Kamar Eden
Life of this patent
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Abstract
The subject disclosure is directed towards using one or more machines with respect intelligently performing a task, such as a crowdsourcing task. Prediction models are used to determine how many workers are needed for a task, based upon a budget and a general goal of trying to use as few workers as needed to achieve a desired result. A number of workers needed to perform a task, without exceeding a budget is computed by predicting future contributions to estimate the number of workers. Also described is predicting based upon existing data, predicting when there is no existing data with which to start based upon adapting, and fairer payment schemes.
Claims6
A method implemented at least in part on at least one processor, comprising, receiving a task including task data comprising a budget, and computing a number of workers needed to perform the task without exceeding the budget, including by predicting future contributions using one or more answer models to estimate the number of workers.
Dependencies are inferred from the claim text.