Invention Grant
- Patent Title: System and method for human-machine hybrid prediction of events
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Application No.: US16708166Application Date: 2019-12-09
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Publication No.: US11625562B2Publication Date: 2023-04-11
- Inventor: David J. Huber , Tsai-Ching Lu , Nigel D. Stepp , Aruna Jammalamadaka , Hyun J. Kim , Samuel D. Johnson
- Applicant: HRL LABORATORIES, LLC
- Applicant Address: US CA Malibu
- Assignee: HRL LABORATORIES, LLC
- Current Assignee: HRL LABORATORIES, LLC
- Current Assignee Address: US CA Malibu
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G06F40/166
- IPC: G06F40/166 ; G06K9/62 ; G06F16/907 ; G06N20/00 ; G06F40/284 ; G06F40/205 ; G06N3/08 ; G06F16/903 ; G06F40/40 ; G06Q30/0202 ; G06Q30/0251 ; G06Q50/00

Abstract:
A method for generating human-machine hybrid predictions of answers to forecasting problems includes: parsing text of an individual forecasting problem to identify keywords; generating machine models based on the keywords; scraping data sources based on the keywords to collect scraped data relevant to the individual forecasting problem; providing the scraped data to the machine models; receiving machine predictions of answers to the individual forecasting problem from the machine models based on the scraped data; providing, by the computer system via a user interface, the scraped data to human participants; receiving, by the computer system via the user interface, human predictions of answers to the individual forecasting problem from the human participants; aggregating the machine predictions with the human predictions to generate aggregated predictions; and generating and outputting a hybrid prediction based on the aggregated predictions.
Public/Granted literature
- US20200257943A1 SYSTEM AND METHOD FOR HUMAN-MACHINE HYBRID PREDICTION OF EVENTS Public/Granted day:2020-08-13
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