PATENT CLAIM ANALYSIS

Application Number: 16053497
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["717", "102000"]

Abstract:
The present invention provides a method for personalizing content and functionality in computer application. The method comprising the steps of: Learning user behavior based on detected input and feature usage by analyzing communication requests and response between client device and application services; Creating product adoption learning model based on user behavior and profile by applying training algorithm of feature usage in relation to user behavior following the feature usage of the user throughout the user lifecycle; Determining feature adoption schedule and time window applying adoption learning model based on user behavior, user profile and feature usage

Claim (Index 11):
A system for personalizing content and functionality in computer application, comprising a server module and a plurality of household client modules, wherein: each of said a server module and plurality of household client modules comprising one or more processors, operatively coupled to non-transitory computer readable storage devices, on which are stored modules of instruction code, wherein execution of said instruction code by said one or more processors implements the function of the said server and client modules:\n Learning module for Learning user behavior based on detected input and feature usage based on analyzing communication requests and response between client device and application services; Feature Adoption Analysis Module Creating product adoption learning model based on user behavior and profile by applying training algorithm of content exposure feature usage in relation to user behavior action following the feature usage or content exposure to the user throughout user lifecycle; Feature Recommendation for determining feature adoption schedule and time window applying adoption learning model based on user current behavior, user profile and feature usage.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 96.0
- Lexical Diversity: 1.74138
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15381637', '14828150', '15064344', '13903343', '15394729']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3658910267114132
- 35 USC 102 Novelty (BERT): 0.4980820333306395
- Combined Prediction Score: 0.3791101273733359
- Mean Citation Score: 168.11399799999995
- Max Citation Score: 169.51869
- Similarity Product: 111.00873924738586

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