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 1):
A system for providing viewership measurement for a digital media asset hosted at a particular location, said system comprising:\n a plurality of sensors dispersed in a particular geographical location hosting a digital media asset to fetch information characterizing an audience of the digital media asset and store the fetched information in a repository; a prediction generation unit using a processor to categorize and consolidate the fetched information from each of the sensors and generate viewership metrics using the consolidated information, the prediction generation unit further applies at least one machine learning technique on the viewership metrics to generate sampling data which is further iteratively regenerated to generate trained data; and a viewership classifier using a processor to employ the trained data to compute and provide viewership measurement for a new digital media asset at a discrete geographical location with limited sensors, wherein the viewership classifier uses the trained data along with information fetched from at least one sensor associated with the new digital media asset to characterize unknown audience of the new digital media asset.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 1.71429
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12749376', '12386655', '15147308', '13998392', '11818485']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4103036368297721
- 35 USC 102 Novelty (BERT): 0.4915223759188443
- Combined Prediction Score: 0.4184255107386793
- Mean Citation Score: 175.208928
- Max Citation Score: 187.69699
- Similarity Product: 121.92170508270264

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