PATENT CLAIM ANALYSIS

Application Number: 16055114
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["455", "405000"]

Abstract:
A computer implemented method of predicting a rating score of a cellular service for a plurality of cellular subscribers, comprising obtaining one or more machine learning models trained with a plurality of feature vectors created for a subset of a plurality of cellular subscribers of a cellular operator participating in a survey to rate a cellular service provided by the cellular operator through a cellular network where each of the feature vectors is created by extracting a plurality of features of a respective cellular subscriber of the subset, each feature vector is associated with a rating score assigned by the respective cellular subscriber, predicting an estimated rating score of the cellular service for other cellular subscribers by applying the machine learning model(s) to the feature vector of extracted features of each of the other cellular subscribers and outputting the estimated rating score for each of the other cellular subscribers.

Claim (Index 4):
The computer implemented method of  claim 3 , wherein said at least one KQI feature is obtained by analyzing at least one operational record of said cellular network collected for said cellular service, said at least one operational record provides information relating to at least one of: a cellular usage detail, a cellular billing detail.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 96.0
- Lexical Diversity: 2.51613
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15045043', '13702385', '15069617', '10863642', '10862930']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7198143802399927
- 35 USC 102 Novelty (BERT): 0.4877177543959963
- Combined Prediction Score: 0.6966047176555931
- Mean Citation Score: 159.24431999999996
- Max Citation Score: 163.66965
- Similarity Product: 104.2713945331335

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