DYNAMIC OPTIMIZATION FOR DATA QUALITY CONTROL IN CROWD SOURCING TASKS TO CROWD LABOR

摘要

Systems and methods of dynamic optimization for data quality control in crowd sourcing tasks to crowd labor are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, for dynamically monitoring results received from workers for a task distributed for evaluation via a job distribution platform, incrementally assigning additional workers to the task using the results and continuously monitoring additional results to assign any additional workers if needed to meet a quality metric for the task.