Capital One Services, LLC

Parag Jain

Rui Zhang

Victor Alvarez Miranda

Andrew Oestreicher

Tate Travaglini

Minh Le

Mohideen Peer

Michael Pruitt

Paul Bradley Robb

Benjamin Lee Wolferman

Kevin Yafuso

In some implementations, a web instance may receive an indication of an event associated with a uniform resource locator (URL) that includes a slug. The web instance may determine, using an indicator encoded in the slug, that the URL is associated with an action that is included in a concurrency control group. The web instance may communicate with a remote database to determine whether the concurrency control group is locked. The web instance may selectively trigger execution of the action based on whether the concurrency control group is locked.

Preventing double actions in a single-click environment

Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.

Systems and methods for dynamically updating machine learning models that provide conversational responses

Methods and systems disclosed herein collect user data in real-time and organize them (e.g., using collaborative filtering) into groups (e.g., clusters). The system then determines statistical distributions of observed real-time intents (e.g., based on actual selections made by users) for each group. The system then merges this distribution with existing model predictions (e.g., a model trained on historical training data) to balance between historical and dynamically updated information.

Systems and methods for generating dynamic conversational responses based on historical and dynamically updated information

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McLean, VA, United States of America

Parag Jain