Invention Grant
- Patent Title: Assessing personalized risk for a user on a journey
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Application No.: US15794321Application Date: 2017-10-26
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Publication No.: US10768002B2Publication Date: 2020-09-08
- Inventor: Jonathan Epperlein , Yassine Lassoued , Martin Mevissen , Julien Monteil , Giovanni Russo , Robert Shorten
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Griffiths & Seaton PLLC
- Main IPC: G01C21/34
- IPC: G01C21/34 ; G01C21/36 ; G06Q10/04 ; G06Q10/06 ; G08G1/0968 ; G06Q50/00 ; G08G1/01 ; G06Q50/14

Abstract:
A system and method for learning and predicting personalized risk associated with a journey for a user are presented. Contextual data may be gathered and analyzed from a plurality of data sources relating to a journey of a user. A risk associated with the journey may be learned for the user according to the contextual data. One or more risk models may be generated according to the learned risks. One or more potential risks associated with a subsequent journey may be predicted using the one or more risk models.
Public/Granted literature
- US20190128686A1 ASSESSING PERSONALIZED RISK FOR A USER ON A JOURNEY Public/Granted day:2019-05-02
Information query
IPC分类: