PATENT CLAIM ANALYSIS

Application Number: 16239954
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["725", "014000"]

Abstract:
Apparatus, systems, and articles of manufacture are disclosed to categorize audience members by age. An example system includes a processor to execute instructions to: generate, an age-correction model by: at an initial node, splitting audience member records into child nodes based on an initial attribute-value pair; at the child nodes: calculating an effective quantity of audience member records based on the weight assigned to the corresponding child node; when the effective quantity of audience member records satisfies a minimum leaf size, splitting the corresponding child node into additional ones of the child nodes based on a corresponding child node attribute-value pair; and when the effective quantity of audience member records does not satisfy the minimum leaf size, designating the corresponding child node as a terminal node; and correct, based on the age-correction model, an age characteristic associated with a media impression.

Claim (Index 2):
The system of  claim 1 , wherein the processor is to assign the weight to the audience member records corresponding to the different age groups further by assigning, when the quantity of audience member records grouped within one of the age groups satisfies a first threshold, a neutral weight to the corresponding records in the one of the age groups.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 2.28986
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15669406', '14729870', '13209292', '15420861', '14809888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4164252163420097
- 35 USC 102 Novelty (BERT): 0.5232973242904192
- Combined Prediction Score: 0.4271124271368507
- Mean Citation Score: 228.708544
- Max Citation Score: 318.98834
- Similarity Product: 261.09803488183854

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

Dataset: test