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 5):
The system of  claim 1 , wherein the processor is to generate the audience member records based on survey data obtained from a plurality of panelists, and activity data corresponding to the plurality of panelists retrieved from the second database proprietor.

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): 0.4161628182726715
- 35 USC 102 Novelty (BERT): 0.5264436503382133
- Combined Prediction Score: 0.4271909014792256
- Mean Citation Score: 228.708544
- Max Citation Score: 318.98834
- Similarity Product: 236.62766433078048

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