PATENT CLAIM ANALYSIS

Application Number: 15956092
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["725", "009000"]

Abstract:
Methods and apparatus to correct errors in measuring audiences of over the top media are disclosed. An example apparatus includes a demographic corrector to identify first impression data received from a computer, the first impression data including demographic data of users, the computer producing a misattribution error in the first impression data, and the misattribution error corresponding to a difference between reported demographics in the first impression data and actual demographics corresponding to the first impression data. The example demographic corrector further is to generate a model based on a difference between the first impression data and second data and generate corrected demographic data by applying the model to the first impression data. In addition, the example apparatus includes a viewership assigner to correct the misattribution error produced by the computer by assigning viewership to an impression associated with the first impression data using the corrected demographic data, at least one of the demographic corrector or the viewership assigner is a logic circuit.

Claim (Index 12):
The storage medium as defined in  claim 11 , wherein the instructions, when executed, further cause the machine to identify the first person in the first household associated with the second data having the second probability similar to the first probability by:\n identifying a third person in the first household associated with the second data; ranking the first and third person based on a first highest probability; identifying a fourth person in the second household associated with the first impression data; ranking the second and fourth person based on a second highest probability; and identifying the first person has the second probability similar to the first probability when the first person has the first highest probability and the second person has the second highest probability.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 2.49275
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14967355', '14823621', '14569474', '15842545', '15194113']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5021226622926372
- 35 USC 102 Novelty (BERT): 0.6045117541983674
- Combined Prediction Score: 0.5123615714832103
- Mean Citation Score: 377.229528
- Max Citation Score: 557.3879
- Similarity Product: 438.2337419038415

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