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US 11,961,114 B2Granted
Digital advertising platform with demand path optimization
AssigneePubwise, Lllp
InventorStephen F. Johnston, Jr.
Life of this patent
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AssigneePubwise, Lllp
InventorStephen F. Johnston, Jr.
Estimating the term…
A digital advertising system includes at least one processor configured to execute a plurality of functional modules including an analytics module to receive and analyze client attributes associated with a website visitor and a requested website to define an analytics event. The analytics module ingests and enriches data within the analytics event and provides it to a machine learning module that generates prediction models for potential bids. A management platform receives the bidding prediction and generates candidate configs. An optimization module receives the candidate configs and applies weights and additional features to select a config and generate an optimized script for the selected config. A deployment module receives the optimized script and delivers the script to the website visitor.
A system for delivering advertising content over a network in response to an analytics event initiated by a client, the system comprising a plurality of modules for collecting the client's attributes, generating prediction models to estimate a probability of success of a bid prediction for the analytics event, generating candidate configs based on the bid prediction and generating and delivering a script to the client based on a selected candidate config, wherein a machine learning module within the plurality of modules uses model data sets to generate the prediction models, the improvement comprising:
A method for delivering advertising content over a network in response to an analytics event initiated by a client, the method comprising using a plurality of modules for collecting the client's attributes, generating prediction models to estimate a probability of success of a bid prediction for the analytics event, generating candidate configs based on the bid prediction and delivering a script to the client based on a selected candidate config, wherein a machine learning module within the plurality of modules uses model data sets to generate the prediction models, the improvement comprising:
Dependencies are inferred from the claim text.