PREDICTIVE ALERT TARGETING FOR MASS NOTIFICATION SYSTEMS

Patent №

US 9,990,840

Granted

2018-06-05

Filed 2017

Owner

ATHOC, INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15415323

A system and a method are disclosed for predicting potential reach of an alert to a targeted audience, targeted personal delivery devices and targeted non-personal notification delivery devices in an emergency mass notification system. The method includes receiving recipients and alert delivery devices data which define a targeted audience and devices of an emergency alert. The method further comprises evaluating contact and configuration data targeting quality rating, tracking data targeting quality rating and real-time data targeting quality rating based on the received recipients and devices data and a data sources repository. Responsive to the targeting quality ratings and prediction weighting data (e.g., numeric weights and descriptive thresholds), the method generating one or more predictions of the potential reach of the alert based on the targeting quality ratings.

Knowledge representationPlanningAI hardwareG08B 27/00G08B 5/222G08B 23/00G08B 27/005G08B 27/006H04W 4/90

AI classification

Planning1.00
Knowledge representation0.95
AI hardware0.77
Machine learning0.36
Evolutionary computation0.01
Natural language0.00
Vision0.00
Speech0.00

Ownership

ATHOC, INC.

assignment · 421410678

Assignors

MIASNIK, GUY, SIEGEL, AVIV

On an employer assignment, the assignors are typically the inventors.

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