Capital One Services, LLC

Alvin Hua

Austin Grant Walters

Jeremy Edward Goodsitt

Vincent Pham

Anh Truong

Galen Rafferty

Ernest Kwak

Kate Key

Methods and systems for using a generative adversarial network to generate personalized content in real-time as a user accesses original content. The methods and systems perform the generation through the use of an application programming interface ('API') layer. Using the API layer, the methods and systems may generate alternative content as a user accesses original content (e.g., a website, video, document, etc.). Upon receiving this original content, the API layer access the generative adversarial network to create personalized alternative content.

Methods and systems for generating alternative content

In some embodiments, gaze-tracking-based image downscaling for multi-party video communication may be provided. In some embodiments, a set of gaze locations may be received from a set of receiving devices during concurrent video communication sessions between the receiving devices and a sending device. Different collections of positions may be determined based on the gaze locations, and, for each such collection, a spatial indicator (e.g., a bounded region) may be determined. A first downscaled encoding of the source image (from the sending device) may be generated based on the first spatial indicator, and a second downscaled encoding of the source image may be generated based on the second spatial indicator, etc. The downscaled encodings may then be sent to the respective receiving devices during the concurrent video communication sessions.

Gaze-tracking-based image downscaling for multi-party video communication

A computer-implemented method may include: receiving, from at least one camera, image data associated with a first user at a public access user computing device; detecting, based on the received image data, by employing a machine learning model trained using a dataset of actions collected from a plurality of previous users, that the first user has moved away from the public access user computing device; automatically encrypting, based upon the detection, a user session associated with the first user, wherein the encrypted user session is configured to be subsequently activated by the first user; and initiating a new generic user session on the public access user computing device for a second user.

Methods and systems for automatically preserving a user session on a public access shared computer

Systems and methods of the present disclosure enable automated and predictive generation of shortcuts to network resources by receiving a content part of a network resource based on a user selection of a link. Monitoring user interactions with the content part are monitored to produce user interaction data, and a usage parameter is determined based on the user interaction data. When a value of the user usage parameter exceeds a threshold value, a network resource content classification associated with the link is automatically generated based at least in part on a content classification machine learning model trained to classify the content part, the network resource, or both, based at least in part on a content similarity to an existing stored network resource identifier. A stored network resource identifier is automatically generated for the link in a network resource group of a user profile associated with the network resource content classification.

Systems for content recognition and content-based network link storage and methods of use thereof

Methods, systems, and apparatuses for correlating electronic communications related to financial transactions. A computing device may receive a first communication related to an update to a past financial transaction. The computing device may identify a second communication by querying, based on the first communication, a communications database. The first communication and second communication may be correlated using one or more natural language processing algorithms. Based on correlating the first communication and second communication, the computing device may identify a portion of the second communication corresponding to the at least one good or service of the past financial transaction by processing, using the one or more natural language processing algorithms, the second communication. The computing device may then cause output of data indicating a correlation between the first communication and the second communication, and the indication of the change to the at least one good or service.

Communication analysis for financial transaction tracking

Methods and systems for generating alternative content using generative adversarial networks implemented in an application programming interface layer

Methods and systems are described for generating recommendations based on non-delineated records collected by a data aggregation service during communications between users and content sources. For example, based on collecting records on exchanges between users and content sources that is traditionally neither stored nor identified by either party, a data aggregation service may generate recommendations related to future exchanges of content between the same or different users and/or the same or different content sources.

Methods and systems for generating recommendations based on non-delineated encrypted records collected by a data aggregation service during communications between users and content sources

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McLean, VA, United States of America

Alvin Hua