PATENT CLAIM ANALYSIS

Application Number: 15967891
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-04
Patent Classification: ["725", "034000"]

Abstract:
Embodiments of the invention provide systems and methods for constructing a schedule well before the time of an asset delivery opportunity that associates a collection of one or more assets, potentially from multiple advertisers or asset providers, that are planned to play in each asset delivery opportunity. Specific rules for each device also determine which asset each will play, thereby ensuring that campaigns of total asset delivery and asset delivery pacing are approximately fulfilled. This scheduling can be accomplished using marketing data associated with each user device and can be prepared in a practicable period of time using reasonable processing resources.

Claim (Index 54):
A system for use in connection with scheduling and delivering multiple assets into each of one or more asset delivery opportunities of a communications network having scheduled asset delivery opportunities associated with programming or controlling inventory of said assets, comprising:\n 1) a campaign manager for providing campaign specifications for assets relating to at least one of a total number and rate of delivery of impressions during a campaign timeframe under consideration for each of the assets; 2) a scheduler operative for:\n a) determining if a current asset delivery opportunity of a plurality of asset delivery opportunities already has a maximum number of assets assigned to it; \n b) moving to a next asset delivery opportunity if the current asset delivery opportunity already has the maximum number of assets assigned to it; and \n c) if the current asset delivery opportunity does not already have the maximum number of assets assigned to it, ordering a plurality of assets by priority, and, in turn, for each current asset of the plurality of assets not already assigned to one of the plurality of asset delivery opportunities: \n d) calculating an increase in impression deliveries predicted for the current asset if it were added to those already assigned to the current asset delivery opportunity; if the increase would put total deliveries for the current asset over a daily pacing associated with the current asset, considering a next asset without assigning the current asset; \n e) if the increase would not put total deliveries for the current asset over a daily pacing associated with the current asset, calculating a number of impression deliveries predicted for each asset that would be assigned to the current asset delivery opportunity; \n f) if the calculated number of impression deliveries predicted for any asset is below a required minimum proportion of a global constraint, considering a next asset without assigning the current asset; and \n g) if no calculated number of impression deliveries predicted for any asset is below a required minimum proportion of a global constraint, scheduling the current asset into the current asset delivery opportunity; and \n a delivery system for receiving scheduling information provided by said scheduler concerning delivery of said at least one of said first and second assets, identifying said asset delivery opportunity and transmitting said at least one of said first and second assets for delivery in connection with said asset delivery opportunity.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 93.0
- Lexical Diversity: 1.52857
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15354518', '13429171', '15403837', '13188620', '11331835']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4936152274166914
- 35 USC 102 Novelty (BERT): 0.5813615889573344
- Combined Prediction Score: 0.5023898635707558
- Mean Citation Score: 385.9285
- Max Citation Score: 501.37003
- Similarity Product: 399.86648339920464

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