PATENT CLAIM ANALYSIS

Application Number: 15967691
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["455", "414100"]

Abstract:
Techniques for providing a recommendation engine for personal digital assistant functionality on hardware devices. In an aspect, sensor data and other signals for a user are collected and processed to extract user patterns. A user profile is further constructed using machine learning techniques. The insights obtained from the user patterns and user profile are combined by digital service routines to generate customized recommendations for users. In a further aspect, user feedback may be utilized to improve the accuracy and relevance of the recommendations.

Claim (Index 1):
A method comprising:\n extracting at least one user pattern from a plurality of sensor inputs and signals, the extracting comprising:\n for at least one of the plurality of sensor inputs and signals, \n generating a feature vector from the at least one of the plurality of sensor inputs and signals,\n clustering feature vectors into at least one transaction cluster based on closeness of the feature vectors, and \n identifying a transaction cluster as a user pattern if a corresponding confidence metric exceeds a predetermined threshold; \n generating at least one user profile parameter from the plurality of sensor inputs and signals; and\n transmitting the at least one user pattern and the at least one user profile parameter to a digital assistant to enable the digital assistant to generate a user recommendation.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.5
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15603305', '14586202', '15812879', '14632207', '15273188']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6569331479531304
- 35 USC 102 Novelty (BERT): 0.458185907517569
- Combined Prediction Score: 0.6370584239095742
- Mean Citation Score: 106.8730788
- Max Citation Score: 109.054474
- Similarity Product: 78.75826103325961

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