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1.发明授权公开(公告)号：US11436634B2
公开(公告)日：2022-09-06
申请号：US16831627
申请日：2020-03-26
Applicant: Adxcel Inc.
Inventor： Yuri Khidekel , Mikhail Zaleshin , Vladimir Bashmakov
Abstract: A processor receives requests for content items and identifies a first subset of machine learning (ML) models that satisfy a reliability criterion and a second subset of ML models that fail to satisfy the reliability criterion, wherein each ML model is associated with a respective content template and is trained to output a probability that a target associated with an input set of characteristics would perform a target action responsive to being presented with a content item generated based on the respective associated content template. For each request in a first group, the processor inputs the respective set of characteristics associated with the request into each ML model of the first subset, selects a content template, and generates a content item based on the selected content template. For each request in the second group, the processor generates a content item based on a content template associated with the second subset.
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2.发明申请公开(公告)号：US20220391945A1
公开(公告)日：2022-12-08
申请号：US17889296
申请日：2022-08-16
Applicant: Adxcel Inc.
Inventor： Yuri Khidekel , Mikhail Zaleshin , Vladimir Bashmakov
Abstract: A processor receives requests for content items and identifies a first subset of machine learning (ML) models that satisfy a reliability criterion and a second subset of ML models that fail to satisfy the reliability criterion, wherein each ML model is associated with a respective content template and is trained to output a probability that a target associated with an input set of characteristics would perform a target action responsive to being presented with a content item generated based on the respective associated content template. The processing logic assigns each request to either a first group or a second group based on a ratio of a number of ML models in the first subset to a number of ML models in the second subset. For each request in the first group, the processor generates a content item based on a content template associated with the first subset.
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3.发明申请公开(公告)号：US20210209641A1
公开(公告)日：2021-07-08
申请号：US16831627
申请日：2020-03-26
Applicant: Adxcel Inc.
Inventor： Yuri Khidekel , Mikhail Zaleshin , Vladimir Bashmakov
Abstract: A processor receives requests for content items and identifies a first subset of machine learning (ML) models that satisfy a reliability criterion and a second subset of ML models that fail to satisfy the reliability criterion, wherein each ML model is associated with a respective content template and is trained to output a probability that a target associated with an input set of characteristics would perform a target action responsive to being presented with a content item generated based on the respective associated content template. For each request in a first group, the processor inputs the respective set of characteristics associated with the request into each ML model of the first subset, selects a content template, and generates a content item based on the selected content template. For each request in the second group, the processor generates a content item based on a content template associated with the second subset.
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