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 16):
The method as claimed in  claim 11 , wherein the step of using the trained data along with information fetched from at least one sensor to measure viewership for the new digital media asset includes providing the measured viewership data as measurements including reach %, frequency, opportunity to see, OTS and gross rating point, GRP and representing the measurements in the form of reports and/or graphs.

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): 0.4429008383494838
- 35 USC 102 Novelty (BERT): 0.4797330088807807
- Combined Prediction Score: 0.4465840554026135
- Mean Citation Score: 175.208928
- Max Citation Score: 187.69699
- Similarity Product: 140.41061067375958

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