- 专利标题: Systems and methods for automated platform-based algorithm monitoring
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申请号: US17162115申请日: 2021-01-29
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公开(公告)号: US11621865B2公开(公告)日: 2023-04-04
- 发明人: Stephen Carroll , David Lovejoy , Simcha Knif , Gennadiy Kukartsev
- 申请人: Pearson Education, Inc.
- 申请人地址: US MN Bloomington
- 专利权人: Pearson Education, Inc.
- 当前专利权人: Pearson Education, Inc.
- 当前专利权人地址: US MN Bloomington
- 代理机构: Quarles & Brady LLP
- 主分类号: G06F3/048
- IPC分类号: G06F3/048 ; H04L12/18 ; G06N3/02 ; G06Q10/0635 ; G06K9/62 ; G06N20/00 ; G06N20/20 ; H04L67/306 ; G06N20/10 ; H04L9/40 ; G06N3/08 ; G06F3/0482 ; G06N5/00 ; H04L67/50 ; G06F21/55 ; G06F21/56 ; G06F21/57 ; G06F3/0481 ; G09B7/02 ; H04L51/18 ; G06Q50/20 ; G06N7/00 ; H04L41/0681 ; G09B5/06
摘要:
Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.
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