PATENT CLAIM ANALYSIS

Application Number: 15945675
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["725", "009000"]

Abstract:
In one embodiment, a method separates subscriber features generated from subscriber interaction with a video delivery service into feature dimensions and inputs the feature dimensions into a respective prediction network. Each prediction network is trained to output a respective dimension score. The method outputs dimension scores using parameters in the plurality of prediction networks that are trained using a variance term to control a variance of the plurality of feature dimensions and using a de-correlation term to control a correlation of the plurality of feature dimensions. The dimension scores are combined into a retention prediction score and an action is performed on the video delivery service for the subscriber based on the retention score.

Claim (Index 20):
The method of  claim 16 , wherein the variance term includes a variance variable representing the variance and a variance parameter that controls a strength of an effect of the variance term on the cost.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 2.08772
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15902046', '14792220', '14675464', '15427873', '15041397']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4236211714841482
- 35 USC 102 Novelty (BERT): 0.4875343556502851
- Combined Prediction Score: 0.4300124899007619
- Mean Citation Score: 124.374132
- Max Citation Score: 125.4225
- Similarity Product: 76.48254842251539

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