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 1):
A method for improving food-related personalized for a user comprising:\n determining food-related preferences associated with a plurality of users, comprising:\n collecting selections from each of the plurality of users at a user interface, and explicitly determining food-related preferences based on the selections, \n inferring food-related preferences of each of the plurality of users based on user actions in relation to the user interface, and \n mapping food-related preferences to food parameters represented in a recipe vector space to generate a user food preferences database; \n 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; generating a recipe based on the personalized food parameters; and automatically facilitating preparation of the recipe by the user.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 99.0
- Lexical Diversity: 2.13953
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12117820', '15859062', '09583886', '15087857', '10797284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1039717684613251
- 35 USC 102 Novelty (BERT): 0.4641617372454445
- Combined Prediction Score: 0.1399907653397371
- Mean Citation Score: 151.890462
- Max Citation Score: 155.25896
- Similarity Product: 117.2132680561781

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

Dataset: test