PATENT CLAIM ANALYSIS

Application Number: 16146926
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["725", "009000"]

Abstract:
Methods and apparatus to utilize a minimum cross entropy to calculate granular data of a region based on another region for media audience measurement. An example method for calculating granular data of a region for media audience measurement includes determining, by executing first instructions via a processor, aggregate behavioral data associated with a measurement of a media audience of a target region; determining, by executing second instructions via the processor, aggregate demographics data of the target region; and determining, by executing third instructions via the processor, granular data of a source region. The example method includes calculating, by executing fourth instructions via the processor, granular data of the media audience of the target region by utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region to determine.

Claim (Index 23):
A system for calculating granular data of a region for media audience measurement, the system comprising:\n means for target region determining to:\n aggregate behavioral data associated with a measurement of a media audience of a target region, the aggregate behavioral data including a first count of target region audience members satisfying a behavioral constraint; and \n aggregate demographics data of the target region, the aggregate demographics data including a second count of the target region audience members satisfying a first demographic constraint and a third count of the target region audience members satisfying a second demographic constraint; \n means for source region determining to determine granular data of a source region, the granular data including a fourth count of source region audience members satisfying the behavioral constraint and the first demographic constraint and a fifth count of the source region audience members satisfying the behavioral constraint and the second demographic constraint; and means for target region calculating to calculate granular data of the media audience of the target region utilizing minimum cross entropy, the target region calculating means to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region, the granular data of the media audience of the target region including a sixth count of the target region audience members satisfying the behavioral constraint and the first demographic constraint and a seventh count of the target region audience members satisfying the behavioral constraint and the second demographic constraint, the target region determining means to reduce an amount of computer memory and computer processing resources of computer networked data collection systems utilized to collect data of the target region to determine the granular data of the media audience of the target region by calculating the granular data of the target region without collecting person-specific data from members of the target region, the calculated granular data of the media audience of the target region being based on the aggregate demographics data of the target region, the aggregate behavioral data of the target region, and the granular data of the source region.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 97.0
- Lexical Diversity: 3.09804
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15055257', '15787521', '14921921', '14866233', '15845042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4659062624132044
- 35 USC 102 Novelty (BERT): 0.5963734577220583
- Combined Prediction Score: 0.4789529819440897
- Mean Citation Score: 400.699918
- Max Citation Score: 500.0194
- Similarity Product: 476.3833339541436

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