公开(公告)号：US11621865B2

公开(公告)日：2023-04-04

申请号：US17162115

申请日：2021-01-29

Applicant: Pearson Education, Inc.

Inventor： Stephen Carroll ,  David Lovejoy ,  Simcha Knif ,  Gennadiy Kukartsev

IPC: 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

Abstract: 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.

公开(公告)号：US20190026475A1

公开(公告)日：2019-01-24

申请号：US15965547

申请日：2018-04-27

Applicant: Pearson Education, Inc.

Inventor： Stephen Carroll ,  David Lovejoy ,  Simcha Knif ,  Gennadiy Kukartsev

IPC: G06F21/57 ,  G06N99/00 ,  G06N3/02 ,  G06F17/30 ,  G06F21/56 ,  G06F21/55 ,  G06F3/048

Abstract: 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.

公开(公告)号：US10938592B2

公开(公告)日：2021-03-02

申请号：US15965547

申请日：2018-04-27

Applicant: Pearson Education, Inc.

Inventor： Stephen Carroll ,  David Lovejoy ,  Simcha Knif ,  Gennadiy Kukartsev

IPC: G06F3/048 ,  H04L12/18 ,  G06N3/02 ,  G06Q10/06 ,  G06K9/62 ,  G06N20/00 ,  G06F16/38 ,  G06F16/335 ,  G06N20/20 ,  H04L29/08 ,  G06N20/10 ,  H04L29/06 ,  G06N3/08 ,  G06F3/0482 ,  G06N5/00 ,  G06F16/20 ,  G06F21/55 ,  G06F21/56 ,  G06F21/57 ,  G06F3/0481 ,  G09B7/02 ,  H04L12/58 ,  G06Q50/20 ,  G06N7/00 ,  H04L12/24 ,  G09B5/06

Abstract: 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.