PATENT CLAIM ANALYSIS

Application Number: 16258426
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["705", "026700"]

Abstract:
A method for improving food-related personalized for a user including determining food-related preferences associated with a plurality of users to generate a user food preferences database; collecting dietary inputs from a subject matter expert (SME) at an SME interface associated with the user food preferences database; determining personalized food parameters for the user based on the user food-related preferences and the dietary inputs; receiving feedback associated with the personalized food parameters from the user; and updating the user food preferences database based on the feedback.

Claim (Index 11):
The method of  claim 1 , wherein collecting dietary inputs comprises collecting labeled training data for a machine-learning based dietary model, wherein the labeled training data comprises dietary data represented in the recipe vector space, and wherein dietary data are labeled according to the dimensions of the recipe vector space.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 99.0
- Lexical Diversity: 2.13953
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12117820', '15859062', '09583886', '15087857', '10797284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1133565085747466
- 35 USC 102 Novelty (BERT): 0.487003556823855
- Combined Prediction Score: 0.1507212133996575
- Mean Citation Score: 151.890462
- Max Citation Score: 155.25896
- Similarity Product: 98.20914786723137

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

Dataset: test