PATENT CLAIM ANALYSIS

Application Number: 15998877
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-05
Patent Classification: ["379", "249000"]

Abstract:
A computer implemented method and system for routing a call based on characteristics of call data are provided. The method may include: receiving or retrieving a first data set representing a first set of plurality of call features relating to an on-going call from a database; generating, using a machine learning model, a suspiciousness score of the on-going call based on the first data set, the suspiciousness score indicating a probability of the on-going call being a fraudulent call; routing the on-going call based on the suspiciousness score; displaying the first suspiciousness score on a graphical user interface; continuously receiving or retrieving a second data set representing a second set of plurality of call features relating to the on-going call from the database; updating the suspiciousness score of the on-going call based on the second data set; and displaying the updated suspiciousness score on the graphical user interface.

Claim (Index 8):
The method of  claim 1 , wherein the first set of plurality of call features and the second set of plurality of call features contain one or more identical call features relating to the on-going call, and the one or more identical call features are iteratively updated during the on-going call.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.75862
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15294576', '15880287', '15294538', '14188009', '15389379']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5458490964126379
- 35 USC 102 Novelty (BERT): 0.4964247326391782
- Combined Prediction Score: 0.540906660035292
- Mean Citation Score: 200.59859
- Max Citation Score: 227.17455
- Similarity Product: 142.57859635506568

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