PATENT CLAIM ANALYSIS

Application Number: 15914532
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["709", "224000"]

Abstract:
A set of key performance indicators (KPIs) is calculated for a first set of user devices based on device performance data of the first set of more user devices or network performance data of a communication network that provides communication services to the first set of user devices. The device performance data has at least one of temporal or geographical commonality with the network performance data. A machine learning (ML) model is then trained based on training data, in which the training data includes the network performance data and the set of KPIs calculated for the first set of user devices. The ML model is applied to additional network performance data of the communication network to extrapolate one or more extrapolated KPIs for the first set of user devices or a second set of user devices.

Claim (Index 1):
One or more non-transitory computer-readable media storing computer-executable instructions that upon execution cause one or more processors to perform acts comprising:\n calculating a set of key performance indicators (KPIs) for a first set of one or more user devices based on at least one of device performance data of the first set of one or more user devices or network performance data of a communication network that provides communication services to the first set of one or more user devices, the device performance data having at least one of temporal or geographical commonality with the network performance data; training a machine learning (ML) model based on training data that includes the network performance data and the set of KPIs calculated for the first set of one or more user devices; and applying the ML model to additional network performance data of the communication network to extrapolate one or more extrapolated KPIs for the first set of one or more user devices or a second set of one or more user devices.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.58929
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15141664', '15394502', '14803769', '14567044', '15235987']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.272836261595196
- 35 USC 102 Novelty (BERT): 0.4907227205001199
- Combined Prediction Score: 0.2946249074856883
- Mean Citation Score: 214.267534
- Max Citation Score: 249.86252
- Similarity Product: 188.7533265183759

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

Dataset: test