Crowdsourcing worker performance prediction method based on deep knowledge tracking
A technology of knowledge and workers, applied in the field of forecasting, can solve problems that cannot be used directly
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[0010] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0011] Such as figure 1 As shown, a crowdsourced worker performance prediction method based on deep knowledge tracking proposed by the present invention includes the following steps. Step 1, data preprocessing, transforms the task data form of knowledge-intensive crowdsourced tasks into usable For training the data of the knowledge tracking model, the conversion process includes task result dualizatio...
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