PATENT CLAIM ANALYSIS

Application Number: 15958160
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["455", "406000"]

Abstract:
An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Claim (Index 1):
A network device, comprising:\n a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:\n receiving first data representative of a call detail record that is generated in response to a determination a first subscriber device accessed a network service; \n determining, based on the first data, that a second subscriber device accessed the network service via the first subscriber device; \n in response to examining second data representative of a service agreement between a provider entity that provides the network service and a subscriber entity associated with the first subscriber device, determining that a usage violation has occurred, wherein the usage violation is representative of a determination that the second subscriber device is not authorized by the service agreement to access the network service; and \n in response to the determining that the usage violation has occurred, implementing a violation policy in connection with access to the network service by the first subscriber device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.40678
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12577372', '14593559', '15293567', '12190369', '13237827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7074511197855728
- 35 USC 102 Novelty (BERT): 0.5114219475982099
- Combined Prediction Score: 0.6878482025668365
- Mean Citation Score: 243.614564
- Max Citation Score: 311.9206
- Similarity Product: 282.88337287650114

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