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US 2025/0165995 A1Published application
Machine learning architecture for domain-specific image scoring
AssigneeVizit Labs, Inc.
InventorsJehan Hamedi, Elham Saraee, Zachary Halloran
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Abstract
A method includes obtaining, by one or more processors, a plurality of images, executing, by the one or more processors, a domain-specific target audience machine learning model to generate domain performance scores for the plurality of images, ranking, by the one or more processors, the plurality of images according to the domain performance scores for the plurality of images, and generating, by the one or more processors, a record comprising one or more images of the plurality of images based on the rankings of the plurality of images.
Claims20
A method comprising:
- obtaining, by one or more processors, a plurality of images;
- executing, by the one or more processors, a domain-specific target audience machine learning model to generate domain performance scores for the plurality of images;
- ranking, by the one or more processors, the plurality of images according to the domain performance scores for the plurality of images;
- and
- generating, by the one or more processors, a record comprising one or more images of the plurality of images based on the rankings of the plurality of images.
2 more elements
A method comprising:
- obtaining, by one or more processors, domain data comprising a plurality of images corresponding to a domain and interaction data corresponding to interactions with the plurality of images while being presented on the domain;
- executing, by the one or more processors, a domain-specific target audience machine learning model to generate domain performance scores for the plurality of images;
- and
- updating, by the one or more processors, the domain-specific target audience machine learning model based on comparing the domain performance scores to the interaction data.
1 more element
A method comprising:
- obtaining, by one or more processors, an image;
- correlating, by the one or more processors, outputs of a plurality of machine learning models with domain interaction data to generate an ensemble of machine learning models;
- executing, by the one or more processors, one or more machine learning models from the ensemble of machine learning models to generate a domain performance score for the image;
- and
- generating, by the one or more processors, a record comprising the image and the domain performance score for the image.
2 more elements
Dependencies are inferred from the claim text.