Capital One Services, LLC

Matthew Horton

Colin Hart

Jason Ji

Alexandra Colevas

Kevan Emmott

Christine Berglund

Steven Quadros

Adnan Malik

Emma Sagan

Jared M Alexander

Scott Golder

Allison Abbott

Abdelkader M'Hamed Benkreira

Tyler Maiman

Salik Shah

Phoebe Atkins

Imren Johar

Negar Kalbasi

First data indicative of a first plurality of transactions by a user may be processed to generate first behavioral information describing the user. The first behavioral information may be displayed by an interactive user interface. A user input made in response to the first behavioral information may be received and analyzed to generate user preference information indicating a relationship between the first user input and the first behavioral information. Second data indicative of a second plurality of transactions by the user may be received and processed with the user preference information to generate second behavioral information describing the user. The second behavioral information may be displayed by the interactive user interface differently from the first behavioral information by the interactive user interface as a result of the processing of the second data and the user preference information together.

Systems and methods for building dynamic interfaces

Exemplary embodiments may provide keys for unlocking access to a location, like a user room, a secure location, a door at an employee location, a trunk, a closet or other locked location or item, on a payment card. Examples of a payment card include but are not limited to a credit card, a debit card, a smart card, an employee identification card, etc. A secure token that acts as digital key may be uploaded to the payment card. The payment card may then be put in close proximity of a wireless reader at the lock. The wireless reader obtains the secure token and extracts the contents. If the contents are proper, the lock is unlocked. Otherwise, the lock remains locked.

Use of a payment card to unlock a lock

Provided, in an aspect, is a system for managing transactions from a financial services computer network. The system has a scalable architecture, and includes a database, one or more processors, a plurality of experience matchers, and a transaction hub. Each experience matcher is associated with a different experience set type, and can receive a transaction list and return an identified experience set. The transaction hub can communicate with multiple experience matchers, and can receive experience sets from the matchers after sending them a list of transactions.

Scalable architecture for managing transactions

Provided, in an aspect, is a method for improved visualization of transaction data from a financial services computer network. The method includes receiving, at a computing device, a plurality of experience sets; presenting, on a display of the computing device, a graphical user interface (GUI); and updating the GUI in response to receiving a revision to the plurality of experience sets. Each experience set contains one or more transactions that relate to each other. The GUI includes a scrollable list having at least a portion of the experience set name for experience sets within a selected time period; and a calendar for the time period showing, for each day with at least one experience, a graphical element indicative of a total of all experience set amounts in that day.

Visualization of transaction data

Provided, in an aspect, is a method for improved management of transaction data from a financial services computer network. The method includes receiving details for a first purchase, detecting that the first purchase is a trigger purchase, obtaining secondary details for the first purchase, receiving details for a later-made second purchase and additional purchases made between the first purchase and second purchase, and determining that the first purchase and the second purchase belong to the same experience set and that the additional intervening purchases do not belong to the same experience set as the first purchase and the second purchase.

Categorization of non-contiguous transactions

Growing community of inventors

Arlington, VA, United States of America

Matthew Horton