Abstract: A system combines inputs from human processing and machine processing, and employs machine learning to improve processing of individual tasks based on comparison of human processing results. Once performance of a particular task by machine processing reaches a threshold, the level of human processing used on that task is reduced.
Type:
Grant
Filed:
November 6, 2016
Date of Patent:
August 17, 2021
Assignees:
Tagasauris, Inc., New York University
Inventors:
Joshua M. Attenberg, Panagiotis G. Ipeirotis
Abstract: A system combines inputs from human processing and machine processing, and employs machine learning to improve processing of individual tasks based on comparison of human processing results. Once performance of a particular task by machine processing reaches a threshold, the level of human processing used on that task is reduced.
Type:
Grant
Filed:
April 16, 2013
Date of Patent:
November 8, 2016
Assignees:
Tagasauris, Inc., New York University
Inventors:
Joshua M. Attenburg, Panagiotis G. Ipeirotis
Abstract: A system combines inputs from human processing and machine processing, and employs machine learning to improve processing of individual tasks based on comparison of human processing results. Once performance of a particular task by machine processing reaches a threshold, the level of human processing used on that task is reduced.
Type:
Application
Filed:
April 16, 2013
Publication date:
October 24, 2013
Applicant:
Tagasauris, Inc.
Inventors:
Joshua M. Attenberg, Panagiotis G. Ipeirotis