PATENT CLAIM ANALYSIS

Application Number: 16032414
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-06
Patent Classification: ["725", "009000"]

Abstract:
A computer-implemented method of using channel tuning data from a video asset viewing device connected to a network to measure video asset viewing at a second-by-second level during one or more user defined lead-in periods, and then correlating that with video asset viewing during a user defined target period, for the purpose of analyzing how viewing activity during the lead-in period(s) correlates with viewing activity during the target period, thus producing longitudinal viewing metrics; all while maintaining viewer anonymity. Additionally, viewing metrics can be categorized based on user defined demographic, geographic, and histogram groupings representing the percentage of video asset viewing with the result that the analyst is able to gain detailed insight into customer viewing behavior. The lead-in video asset may be any video asset or assets. The target may be any subsequent video asset. The metrics produced are useful to service providers, advertisers, and content producers.

Claim (Index 31):
The method of  claim 28 , further comprising:\n determining, based at least in part on the data, a metric for one or more media segments of the plurality of media segments.

Metadata:
- Claim Count in Document: 75.0
- Percentile: 95.0
- Lexical Diversity: 1.77419
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13360704', '13052026', '12981301', '13740199', '14013031']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5366471218094233
- 35 USC 102 Novelty (BERT): 0.6597240687653184
- Combined Prediction Score: 0.5489548165050129
- Mean Citation Score: 425.251706
- Max Citation Score: 647.17377
- Similarity Product: 477.0850992454505

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

Dataset: test