PATENT CLAIM ANALYSIS

Application Number: 15760384
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["345", "633000"]

Abstract:
A data-driven information apparel product and a method of making the same is disclosed. The method includes defining individual data items in a data set on a hierarchical scale as common or uncommon based on a variation from a central tendency, wherein the data items are related to the intellectual property output and physical property output of an individual. Once defined, the data items may be sorted, structured, and correlated with one another, such as correlating an item in the common data set with an item in the uncommon data set to form a correlative data item. A mathematical grid, algorithm, or equation may then be applied to the uncommon data in the correlative data item to modify the uncommon data of the correlative data item with one or more portion of the common data of the correlative data item. A user of the method may influence the data selection based on personal preferences. Digital illustrations, physical illustrations, and physical products may be manufactured based on the method and at least one modified correlative data item.

Claim (Index 1):
A computer-implemented method for manufacturing a digital illustration product, the method comprising:\n receiving, by a computer having a processor and a memory, a data set comprising two or more individual data items related to an intellectual property output and a physical property output of an individual; defining the individual data items of the data set based on a variation from a central tendency; sorting the individual data items into a common data set and an uncommon data set based on the defining, wherein the common data set includes the individual data items having a minimal variation or no variation from the central tendency, and the uncommon data set includes the individual data items having a maximal variation from the central tendency; correlating one or more of the individual data items in the common data set and one or more of the individual data items in the uncommon data set to form a correlative data item; assimilating uncommon data of the correlative data item and common data of the correlative data item to produce an illustration data set, wherein the assimilating comprises modifying the uncommon data of the correlative data item with one or more portion of the common data of the correlative data item; scaling the illustration data set based on the one or more portion of the common data of the correlative data item; and sorting the illustration data set by at least one of space and time based on at least one of the one or more portion of the common data of the correlative data item and a previous measured space and time sortation of the illustration data set.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.35802
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10340208', '13212673', '10752846', '11367024', '12500888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5620826535686476
- 35 USC 102 Novelty (BERT): 0.4781024218209748
- Combined Prediction Score: 0.5536846303938804
- Mean Citation Score: 120.2005982
- Max Citation Score: 124.600105
- Similarity Product: 84.65095297115535

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