PATENT CLAIM ANALYSIS

Application Number: 16077007
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["725", "012000"]

Abstract:
A system and method for providing viewership measurement for a digital media asset hosted at a particular location has been disclosed. The system employs a machine learning process to receive classified sensor data corresponding to viewership of a digital media asset at a particular location from a plurality of sources to generate trained data. The trained data is utilized by the system along with limited sensor data to provide viewership measurement of a target digital media asset whose audience is unknown.

Claim (Index 6):
The system as claimed in  claim 1 , wherein viewership metrics include reach %, frequency, opportunity to see, OTS and gross rating point, GRP.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 1.71429
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12749376', '12386655', '15147308', '13998392', '11818485']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4366932690113233
- 35 USC 102 Novelty (BERT): 0.5043370575588827
- Combined Prediction Score: 0.4434576478660793
- Mean Citation Score: 175.208928
- Max Citation Score: 187.69699
- Similarity Product: 108.12773697939396

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test