PATENT CLAIM ANALYSIS

Application Number: 15995516
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["340", "501000"]

Abstract:
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 system and method optimize alert deliveries based on the predicted reach.

Claim (Index 6):
A device for predicting potential reach of a mass notification system, comprising:\n one or more processors; and a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instruct the one or more processors to:\n receive first data representing a target set of recipients for an alert and at least one respective alert delivery device associated with each recipient; \n receive second data from a database, the second data comprising an indication of whether a past alert was acknowledged, the second data corresponding to alert delivery devices associated with the target set of recipients; \n receive weighting data representing weights or descriptive thresholds; \n determine a targeting quality rating based on the first data, the second data, and the weighting data; \n generate a prediction on a reach of the alert based on the targeting quality rating; \n prioritize devices associated with the target set of recipients for delivery of the alert based on the prediction; and \n deliver the alert based on the prioritization.

Metadata:
- Claim Count in Document: 55.0
- Percentile: 94.0
- Lexical Diversity: 1.44118
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13027602', '14569592', '15415323', '13975202', '15410977']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6988786303199228
- 35 USC 102 Novelty (BERT): 0.5599936626295823
- Combined Prediction Score: 0.6849901335508888
- Mean Citation Score: 353.403432
- Max Citation Score: 416.88995
- Similarity Product: 318.2732767083913

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test