PATENT CLAIM ANALYSIS

Application Number: 16053270
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["706", "013000"]

Abstract:
Systems and methods for customizing an output based on user data are described herein. An example method for customizing an output based on user data may commence with capturing, by at least one sensor, the user data. The method may continue with analyzing, by at least one computing resource, the user data received from the at least one sensor. The method may further include continuously customizing, by an adaptive interface, output data using at least one machine learning technique based on the analysis of the user data. The customized output data may be intended to elicit a personalized change.

Claim (Index 13):
The system of  claim 1 , wherein the at least one machine learning technique includes one or more of the following: an artificial neural network, a convolutional neural network, a Bayesian neural network, a supervised machine learning algorithm, a semi-supervised machine learning algorithm, an unsupervised machine learning algorithm, and a reinforcement learning.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.0
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15232800', '15935276', '14252431', '14971886', '15851761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3153938674866479
- 35 USC 102 Novelty (BERT): 0.4770470574347612
- Combined Prediction Score: 0.3315591864814592
- Mean Citation Score: 140.376292
- Max Citation Score: 142.51326
- Similarity Product: 95.56027718742372

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

Dataset: test