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 17):
The apparatus of  claim 11 , further comprising a signal aggregation and enrichment block configured to aggregate inputs from a plurality of connected sensors to generate the plurality of sensor inputs and signals.

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): 0.6579462352844316
- 35 USC 102 Novelty (BERT): 0.4541489976887895
- Combined Prediction Score: 0.6375665115248674
- Mean Citation Score: 106.8730788
- Max Citation Score: 109.054474
- Similarity Product: 80.93075523070145

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