PATENT CLAIM ANALYSIS

Application Number: 15990729
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["725", "014000"]

Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to determine a duration of media presentation based on tuning session duration. Example apparatus include a tuning session determiner to determine a first tuning session based on a period of time between channel changes of a first media presentation device; a presentation session determiner to determine first presentation session data within the determined first tuning session; a modeler to determine a model by relating the first tuning session with the first presentation session data; a receiver to determine a second tuning session for tuning data from a second media presentation device; and a presentation session estimator to: select the model for the second tuning session, based on a match of a first duration of the second tuning session and a second duration associated with the model, and estimate second presentation session data for the second tuning session based on the model.

Claim (Index 18):
The non-transitory computer readable medium of  claim 17 , wherein the model includes at least one of a conditional probability, an expected value, a frequency distribution, or a cumulative distribution based on the first presentation session duration.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 3.15686
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15011455', '15224039', '15799646', '15635153', '11877413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4144971402365942
- 35 USC 102 Novelty (BERT): 0.5455001709847925
- Combined Prediction Score: 0.427597443311414
- Mean Citation Score: 214.04503
- Max Citation Score: 381.35876
- Similarity Product: 265.578371793201

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

Dataset: test