Capital One Services, LLC

Gunjan Patel

Anil Konduru

Kirankumar Kulkarni

Patrick James Manion

Savio Joseph Darivemula

Jie Shen

Kelly L Birch

Sunil Subrahmanyam Vasisht

Ranganathan Mohan

Disclosed embodiments provide systems and methods related to updating creatives generation models. The system may include at least one memory unit for storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving a feedback indication concerning an email message sent to a target, the email message constructed using a first template and associated with a first context, the feedback indication including a recommendation identifier; updating, in response to receiving the feedback indication, a feedback value for the email message stored in a delay buffer; obtaining the updated feedback value upon satisfaction of a time delay condition; updating, using the updated feedback data and the recommendation identifier, a machine learning model configured to recommend templates based on contexts; and constructing and providing a second email message using a second template recommended by the updated machine learning model for a second context.

Systems and methods for updating creatives generation models

A system for online advertising. The system may include at least one memory unit for storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving a plurality of creatives for a webpage published to a viewer and resulting in a viewer experience; measuring, based on the viewer experience, a result including conversion rates for a plurality of variants of the webpage; determining confidence intervals in association with the conversion rates; dynamically comparing the received creatives, the conversion rates, and the determined confidence intervals of the variants; automatically analyzing, based on the comparison, the variants to select a winning webpage, the winning webpage exceeding a computed threshold; and automatically adjusting online traffic such that the selected winning webpage is displayed more frequently than other webpages.

Systems and methods for self-serve marketing pages with multi-armed bandit

Systems and methods for managing feedback for a multi-ARM bandit algorithm are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include sending, to a device, a creative configured for display on the device. The operations may include receiving, from the device, feedback data associated with the creative, wherein the feedback data indicates a degree of user interaction with the creative. The operations may include checking the feedback data for a baked time associated with the creative. The operations may include sending the feedback data to a node based on the baked time. The operations may include updating, by the node, a model associated with the feedback data.

Systems and methods to manage feedback for a multi-arm bandit algorithm

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Frisco, TX, United States of America

Gunjan Patel