PATENT CLAIM ANALYSIS

Application Number: 16369282
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["379", "221090"]

Abstract:
Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.

Claim (Index 30):
The risk assessment system of  claim 29 , further configured to generate a new model for assessing risk of incoming calls based in part on the new call log record.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 99.0
- Lexical Diversity: 1.60811
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15801019', '15834960', '13946682', '16112977', '15646532']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5663365988342186
- 35 USC 102 Novelty (BERT): 0.5480543135393322
- Combined Prediction Score: 0.56450837030473
- Mean Citation Score: 247.549236
- Max Citation Score: 453.91568
- Similarity Product: 304.3914436223412

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