PATENT CLAIM ANALYSIS

Application Number: 16005479
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["379", "265090"]

Abstract:
Devices, computer-readable media and methods for delivering customer service content associated with a reason code are disclosed. Examples of the present disclosure may include a processor of a telecommunication network identifying a reason code associated with calls from customers to a customer call center and determining a set of shared traits among the customers. The shared traits may be based upon first network event data and first customer account data associated with the customers. The processor may further determine a customer with a propensity to call score that exceeds a threshold and with a customer profile that matches the set of shared traits. The customer profile may be based upon second network event data and second customer account data associated with the customer. The processor may further deliver a customer service content associated with the reason code to the customer via a communication modality that is determined for the customer.

Claim (Index 4):
The device of  claim 2 , wherein the determining the set of shared traits comprises:\n training the binary classifier, wherein the first network event data and the first customer account data comprise training data for the binary classifier.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 94.0
- Lexical Diversity: 2.41538
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15375503', '15801094', '10423004', '10799712', '15476621']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5412860589870772
- 35 USC 102 Novelty (BERT): 0.5053313966459768
- Combined Prediction Score: 0.5376905927529672
- Mean Citation Score: 178.984422
- Max Citation Score: 280.55112
- Similarity Product: 195.59055881950383

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test