PATENT CLAIM ANALYSIS

Application Number: 16029106
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["706", "025000"]

Abstract:
Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons. Any ML algorithm can use, or operate in conjunction with, a neural knowledge artifactory comprising the knowledge neurons to enhance or improve baseline accuracy, for example during a cold start period, for augmented decision making and/or for labeling data points or establishing ground truth to perform supervised learning.

Claim (Index 15):
An apparatus, comprising:\n one or more computing processors; a non-transitory computer readable medium that stores computer instructions which, when executed by the one or more computing processors, cause the one or more computing processors to perform:\n receiving a neural feedback from a client computing device over one or more computer networks; \n generating one or more feedback keywords from the neural feedback; \n searching, based at least in part on a global neural schema and the one or more feedback keywords generated from the neural feedback, for one or more knowledge neurons in a repository of knowledge neurons; \n wherein the one or more knowledge neurons include knowledge artifacts learned documents retrieved from a plurality of web-based data sources through machine learning with a machine learning model implemented by a computing device; \n incorporating neural feedback information, derived from the neural feedback, into the one or more knowledge neurons; and \n causing the one or more knowledge neurons to be used by a query processor in one or more computer devices to generate responses to query requests from client computing devices.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 95.0
- Lexical Diversity: 1.85393
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16029087', '16029032', '14456985', '15153575', '12472204']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3501189845645892
- 35 USC 102 Novelty (BERT): 0.515482053168934
- Combined Prediction Score: 0.3666552914250237
- Mean Citation Score: 210.450616
- Max Citation Score: 331.31003
- Similarity Product: 296.25929404368577

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

Dataset: test