PATENT CLAIM ANALYSIS

Application Number: 16054986
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
The subject technology provides generating configuration files that represent user interaction scenarios on a device, the configuration files including a set of user interface (UI) elements to display and a set of interactions corresponding to user activity to perform on at least one UI element of the set of UI elements. The subject technology processes the configuration files using a relevance engine to determine a relevance score of each UI element of the set of UI elements, wherein the relevance score is based at least in part on weights assigned to features based on the user activity and respective variance values of the features, and the features include information related to a location or time. The subject technology generates a user simulation based machine learning model based at least on each relevance score of each UI element. The subject technology stores the user simulation based machine learning model on the device.

Claim (Index 15):
The method of  claim 11 , wherein a high variance value of a first feature indicates a low confidence associated with the first feature, and a low variance value of a second feature indicates a high confidence associated with the second feature, wherein the first feature is assigned a greater weight than the second feature for providing the relevance score.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.38806
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15996311', '14231222', '15384817', '16020843', '16036536']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5453144156578114
- 35 USC 102 Novelty (BERT): 0.4671146910029507
- Combined Prediction Score: 0.5374944431923253
- Mean Citation Score: 122.4548236
- Max Citation Score: 126.64596
- Similarity Product: 85.45108163549423

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