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 1):
A processor system, comprising:\n a first memory including instructions; and a processor to execute the instructions to:\n generate audience member records by associating ages of audience members from a second memory of a first database proprietor at a first Internet domain to corresponding activity data obtained from a third memory of a second database proprietor at a second Internet domain; \n assign a weight to corresponding audience member records, the weight being based on a quantity of audience members in a same age group as the corresponding audience member record; \n generate, an age-correction model by:\n at an initial node, splitting the corresponding audience member records into child nodes based on an initial attribute-value pair; \n at a first child node of the child nodes:\n calculating an effective quantity of audience member records of the first child node based on the weight assigned to the first child node; \n when the effective quantity of audience member records satisfies a minimum leaf size, splitting the first child node into additional ones of the child nodes based on a corresponding child node attribute-value pair; and \n when the effective quantity of audience member records of the first child node does not satisfy the minimum leaf size, designating the first child node as a terminal node; \n \n \n generate probability density functions to infer probabilities reflecting underrepresented ages in the probability density functions, the probability density functions based on ones of the audience member records assigned to the terminal node, the terminal node including underrepresented age samples; and \n correct, based on the age-correction model, an age characteristic associated with a media impression, the media impression indicative of a person being exposed to media presented by a media presentation device, the correcting to generate more accurate audience measurement information by including ages that are underrepresented in the probability density functions without consuming additional memory and processor resources to monitor additional audience members in the underrepresented ages.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 2.28986
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15669406', '14729870', '13209292', '15420861', '14809888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3877019254788819
- 35 USC 102 Novelty (BERT): 0.5228517330366872
- Combined Prediction Score: 0.4012169062346624
- Mean Citation Score: 228.708544
- Max Citation Score: 318.98834
- Similarity Product: 246.73480819226737

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