PATENT CLAIM ANALYSIS

Application Number: 16388666
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["709", "224000"]

Abstract:
Methods and apparatus for determining a unique audience exposed to media while reducing memory resources of a computing device are disclosed herein. Example instructions cause a machine to at least, based on impression requests from a plurality of client devices via a network, log a plurality of impressions corresponding to media accessed at the client devices; obtain a count of demographic impressions logged by a database proprietor; obtain a count of registered users of the database proprietor exposed to the media; and execute a process to determine a unique audience size by multiplying a count of the plurality of impressions by a square of the count of the registered users to generate a product; dividing the product by the count of the demographic impressions to generate a quotient; and determining the unique audience size based on a square root of the quotient.

Claim (Index 11):
The non-transitory computer readable storage medium of  claim 8 , wherein the constraint matrix is a first constraint matrix and the constraint vector is a first constraint vector, and the instructions cause the machine to determine the first unique audience size, the second unique audience size, and the total unique audience size by:\n generating the first constraint matrix and the first constraint vector based on the first count of the first demographic impressions, the first count of the first registered users, the second count of the second demographic impressions, and the second count of the second registered users; determining impression characteristics associated with the first constraint matrix and the first constraint vector, the impression characteristics including maximized values based on the first constraint matrix and the first constraint vector; and generating a second constraint matrix and a second constraint vector based on the impression characteristics, the first and second constraint matrices and the first and second constraint vectors corresponding to audience characteristics, the audience characteristics including maximized values based on the second constraint matrix and the second constraint vector, the first unique audience size, the second unique audience size, and the total unique audience size being based on the audience characteristics.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 100.0
- Lexical Diversity: 2.32308
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15008220', '14984690', '14502409', '15194113', '16003720']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.341101526856054
- 35 USC 102 Novelty (BERT): 0.5506310159194918
- Combined Prediction Score: 0.3620544757623978
- Mean Citation Score: 325.053486
- Max Citation Score: 398.92996
- Similarity Product: 308.14549385374545

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