Combining human and machine intelligence to solve tasks with crowd sourcing
First Claim
1. A computer-implemented method, comprising:
- receiving computer-based guidance for solving a task from a computer-based resource;
receiving historical human resource experience information associated with a plurality of participants, the historical human resource experience information indicating an experience level for individuals of the plurality of participants with respect to solving previous tasks;
receiving historical human resource activity information associated with the plurality of participants, the historical human resource activity information indicating an availablility and an activity level for the individuals of the plurality of participants with respect to solving the previous tasks or other previous tasks;
generating a distribution of the task to selected participants in the plurality of participants based on the computer-based guidance, the historical human resource experience information, and the historical human resource activity information; and
generating a global solution to the task based on the computer-based guidance and human-based contributions from the selected participants.
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Accused Products
Abstract
Methods are described for ideally joining human and machine computing resources to solve tasks, based on the construction of predictive models from case libraries of data about the abilities of people and machines and their collaboration. Predictive models include methods for folding together human contributions, such as voting, with machine computation, such as automated visual analyses, as well as the routing of tasks to people based on prior performance and interests. An optimal distribution of tasks to selected participants of the plurality of participants is determined according to a model that considers the demonstrated competencies of people based on a value of information analysis that considers the value of human computation and the ideal people for providing a contribution.
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Citations
20 Claims
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1. A computer-implemented method, comprising:
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receiving computer-based guidance for solving a task from a computer-based resource; receiving historical human resource experience information associated with a plurality of participants, the historical human resource experience information indicating an experience level for individuals of the plurality of participants with respect to solving previous tasks; receiving historical human resource activity information associated with the plurality of participants, the historical human resource activity information indicating an availablility and an activity level for the individuals of the plurality of participants with respect to solving the previous tasks or other previous tasks; generating a distribution of the task to selected participants in the plurality of participants based on the computer-based guidance, the historical human resource experience information, and the historical human resource activity information; and generating a global solution to the task based on the computer-based guidance and human-based contributions from the selected participants. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer, cause the computer to:
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generate a model for routing a task; generate a distribution of the task to selected participants in a plurality of participants according to the model, wherein the distribution is based on historical human resource experience and activity information indicating an experience level and an activity level for individuals of the plurality of participants with respect to solving previous tasks, the historical human resource exrerience and activity information beinci received prior to beginning processing of the task; route the task to the selected participants according to the distribution; and receive human-based contributions for solving the task from the selected participants. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A computer system, comprising:
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a processor; a memory communicatively coupled to the processor; and a task distribution module which executes in the processor from the memory and which, when executed by the processor, causes the computer system to route and solve tasks in a crowd sourcing application by; generating a model based on machine learning techniques, generating a distribution of an individual task to selected participants in a plurality of participants according to the model, the distribution based on historical human resource experience and activity information that was collected during completion of a previous crowd sourcing application and prior to generation the model, routing the individual task to the selected participants according to the distribution, receiving human-based contributions for solving the individual task from the selected participants, receiving computer-based guidance for solving the individual task from a computer-based resource, and generating a global solution to the individual task by combining the computer-based guidance and the human-based contributions according to the model. - View Dependent Claims (19, 20)
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Specification