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公开(公告)号：WO2020190844A1
公开(公告)日：2020-09-24
申请号：PCT/US2020/022923
申请日：2020-03-16
Applicant: ALLSTATE INSURANCE COMPANY
Inventor： PARK, Jason , DE GUIA, Nicolette , HANSEN, Mark D. , LIU, Dongmin , KALKE, Amaeya , MONTERO, Sergio G. , PARKINSON, John , WEIDMANN, Cindy
Abstract: Methods, computer-readable media, software, and apparatuses may assist the user in understanding their unique digital footprint and the connections from the data within the footprint to the user's connections online and in the physical world. The determined information may be visually displayed to the user along with recommendations regarding digital safety.
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2.发明申请
公开(公告)号：WO2022212306A1
公开(公告)日：2022-10-06
申请号：PCT/US2022/022247
申请日：2022-03-29
Applicant: ALLSTATE INSURANCE COMPANY
Inventor： LIU, Dongmin , PHAN, Giang , WALDMAN, Marcus , INOYATOV, Akmal , ROETS, Lindes , MILLER, Jeremy , GOULET, Kevin
IPC: G06N20/00 , G06K9/623 , G06K9/6257 , G06K9/6277 , G06K9/6298
Abstract: Aspects of the disclosure relate to using machine learning methods for identity health scoring. A computing platform may train a machine learning model, using historical event information, by: 1) classifying the historical event information using logical regression, and 2) after classifying the historical event information, performing time series calibration on the classified historical event information, wherein training the machine learning model configures the machine learning model to output identity health information. The computing platform may receive new event information. The computing platform may input the new event information into the machine learning model, which may cause the machine learning model to output the identity health information. The computing platform may send, to a client device, the identity health information and one or more commands directing the client device to display an identity health interface, which may cause the client device to display the identity health interface.
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