PATENT CLAIM ANALYSIS

Application Number: 16258325
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["705", "026500"]

Abstract:
Systems and methods for improving food-related personalization for a user including generating a recipe database including a set of recipe data structures; deriving a recipe vector representation of the recipe data structures; determining a set of user food preferences; extracting a set of recipe vector constraints from the set of user food preferences; determining a personalized food plan for the user, including automatically selecting a subset of the set of recipe data structures associated with recipe vector representations that satisfy the set of recipe vector constraints; determining fulfillment parameters for grocery items associated with the personalized food plan; and automatically facilitating fulfillment of grocery items associated with the personalized food plan based on the fulfillment parameters.

Claim (Index 9):
The method of  claim 7 , wherein comparing the ingredient vector representation of each ingredient with the ingredient vector representation of each other ingredient comprises determining the distance between each component of each pair of ingredient vector representations in a vector space containing all the ingredient vector representations in the recipe database and defining a number of dimensions equal to a number of components of each ingredient vector representation.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.6383
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15087857', '14208149', '14923470', '13158318', '15162824']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0989048302013347
- 35 USC 102 Novelty (BERT): 0.5014289723232739
- Combined Prediction Score: 0.1391572444135286
- Mean Citation Score: 173.105276
- Max Citation Score: 188.49054
- Similarity Product: 118.77894663609982

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