PATENT CLAIM ANALYSIS

Application Number: 15871784
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["725", "034000"]

Abstract:
In one embodiment, a data processing method comprises generating impression estimate data that specifies an estimated total number of impressions of a plurality of non-program media items that are possible during future transmission of a plurality of media programs via a plurality of media channels; based on the impression estimate data, generating campaign data specifying a target number of impressions of a particular non-program media item and specifying one or more particular media channels to receive the particular non-program media item; based on the campaign data, and based upon transmission schedule data that specifies future times of transmission of the plurality of media programs via the plurality of media channels, automatically determining digitally stored promotional schedule data that specifies a plurality of times to transmit the particular non-program media item to achieve the target number of impressions; wherein the method is performed by one or more computing devices.

Claim (Index 10):
The method of  claim 1 , wherein the first plurality of unconfirmed placements is optimized based on one or more user-specified constraints comprising a target frequency for presenting the particular non-program media item or a target consumption level for the particular non-program media item.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 86.0
- Lexical Diversity: 2.47619
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15220485', '15180360', '15000742', '13762115', '12009280']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4194983041909689
- 35 USC 102 Novelty (BERT): 0.576707309649759
- Combined Prediction Score: 0.4352192047368479
- Mean Citation Score: 222.49707000000004
- Max Citation Score: 471.30734
- Similarity Product: 429.7540016036963

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