Capital One Services, LLC patent applications on December 26th, 2024
Patent Applications by Capital One Services, LLC on December 26th, 2024
Capital One Services, LLC: 22 patent applications
Capital One Services, LLC has applied for patents in the areas of G06N20/00 (5), G06F11/07 (3), H04L9/40 (3), G06N3/084 (2), G06Q20/34 (2) G06N20/00 (3), G06F11/0772 (1), G06Q20/3829 (1), H04L63/1416 (1), H04L63/102 (1)
With keywords such as: data, user, based, transaction, learning, machine, device, methods, application, and systems in patent application abstracts.
Patent Applications by Capital One Services, LLC
Inventor(s): Robert BYRON of Plano TX (US) for capital one services, llc
IPC Code(s): G06F11/07, G06F11/32, G06F11/36
CPC Code(s): G06F11/0772
Abstract: methods and systems are described herein for facilitating error corrections during testing of proposed code. the system may receive, via a user interface, a proposed code for testing on an application testing platform and may request initiation, on the application testing platform, of an application testing protocol of the proposed code. the system may receive, from the application testing platform, testing logs associated with the proposed code. the plurality of testing logs may include error notifications, and the system may determine explanations and proposed corrections corresponding to the error notifications. the system may output, via the user interface, an aggregation of the testing logs with the explanations and proposed corrections.
20240427659. INCIDENT RESOLUTION SYSTEM_simplified_abstract_(capital one services, llc)
Inventor(s): Mohamed SECK of McLean VA (US) for capital one services, llc, Louis BUELL of McLean VA (US) for capital one services, llc
IPC Code(s): G06F11/07, G06N5/022, G06N5/04
CPC Code(s): G06F11/0793
Abstract: an automated system is provided for facilitating resolution of an incident on a digital processing system. the automated system has a data storage unit with information on previous incidents, a user interface and a resolution facilitation server. the server receives incident information from a monitoring system, including status information for at least one operating parameter of the digital processing system. the server is configured to apply a machine learning model to determine a first recommended action using the incident information and the previous incident information, present the first recommended action to the user, and receive a recommendation response. the server is also configured to establish a recommendation score based at least in part on the recommendation response and to update the machine learning model using the incident information, the first action recommendation, and/or the first recommendation score.
Inventor(s): Muralidharan Balasubramanian of Gaithersburg MD (US) for capital one services, llc, Eric K. Barnum of Midlothian VA (US) for capital one services, llc, Julie Dallen of Vienna VA (US) for capital one services, llc, David Watson of Alexandria VA (US) for capital one services, llc
IPC Code(s): G06F11/36, G06N20/00
CPC Code(s): G06F11/3672
Abstract: techniques for monitoring operating statuses of an application and its dependencies are provided. a monitoring application may collect and report the operating status of the monitored application and each dependency. through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. the monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. also provided are techniques for testing a response of the monitored application through modifications to api calls. such tests may be used to train the machine learning model.
Inventor(s): Naveen Reddy NAGIREDDYVARI of McLean VA (US) for capital one services, llc, Divya MEHROTRA of Frisco TX (US) for capital one services, llc
IPC Code(s): G06F16/2455, G06F16/2453, G06F16/248, G06F21/62
CPC Code(s): G06F16/24553
Abstract: systems and methods utilize a data change repository that supplements existing data in a database by storing various data labels for each record. each data label comprises a first data characteristic comprising a stateless value and a second data characteristic that comprises a modification characteristic of the stateless value. the systems and methods may then use these additional labels to identify and/or validate the underlying data. as the labels are used for the identification and/or validation (as opposed to the underlying data itself), the systems and methods do not affect, and function despite, security protocols, access restrictions, and/or viewing rights.
Inventor(s): Junqing WU of Vienna VA (US) for capital one services, llc, Jeffrey GABLER of McLean VA (US) for capital one services, llc, Benjamin COOK of McLean VA (US) for capital one services, llc
IPC Code(s): G06F16/2455, G06F16/2453, G06N3/084
CPC Code(s): G06F16/2456
Abstract: systems and methods for performing entity resolution. in some aspects, the system obtains a plurality of attributes represented in a plurality of records from one or more sources. the system generates a plurality of match vectors based on the plurality of attributes. each match vector includes a set of attributes that match between a pair of records and a remaining set of attributes that are not required to match between the pair of records. the system processes the plurality of match vectors using an entity resolution model trained to output a binary indicator regarding whether one or more pairs of records for a match vector be merged. the system merges the one or more pairs of records for each match vector of the plurality of match vectors having a corresponding binary indicator output from the entity resolution model that pairs of records for the match vector be merged.
Inventor(s): Alex MAKUMBI of Burke VA (US) for capital one services, llc, Andrew STEVENS of Leesburg VA (US) for capital one services, llc
IPC Code(s): G06F16/25, G06F21/31
CPC Code(s): G06F16/254
Abstract: in some implementations, a system may monitor extract, transform, and load (etl) jobs by generating metrics, including status, timing, and data volume information for constituent tasks of etl jobs. the system may identify anomalies based on deviations from historical trends in the metrics and may invoke a messaging service to generate notifications related to the anomalies via a workspace accessible to client devices. the system may also automatically remediate anomalies by requeuing, canceling, or dividing etl jobs or constituent tasks, ensuring efficient etl job processing and management by handling data volume, execution time, and task statuses dynamically. these capabilities enhance the reliability, performance, and scalability of etl operations, providing a robust framework for managing large volumes of data and mitigating potential failures in the data processing pipeline.
Inventor(s): Naveen Reddy NAGIREDDYVARI of McLean VA (US) for capital one services, llc, Divya MEHROTRA of Frisco TX (US) for capital one services, llc
IPC Code(s): G06F21/62, G06F16/176, G06F16/23
CPC Code(s): G06F21/6218
Abstract: systems and methods utilize a data change repository that supplements existing data in a database by storing various data labels for each record. each data label comprises a first data characteristic comprising a stateless value and a second data characteristic that comprises a modification characteristic of the stateless value. the systems and methods may then use these additional labels to identify and/or validate the underlying data. as the labels are used for the identification and/or validation (as opposed to the underlying data itself), the systems and methods do not affect, and function despite, security protocols, access restrictions, and/or viewing rights.
Inventor(s): David Kelly WURMFELD of Melbourne FL (US) for capital one services, llc, Adam KOEPPEL of Washington DC (US) for capital one services, llc, Tyler LOCKE of Jersey City NJ (US) for capital one services, llc
IPC Code(s): G06K7/10, G06Q20/34, H04B5/70, H04W4/80
CPC Code(s): G06K7/10297
Abstract: a transaction card may monitor an amount of electric current induced in a first near-field communication (nfc) component of a transaction card. electric current may be induced in the first nfc component when the first nfc component is within an electromagnetic field generated by a second nfc component of a transaction terminal. the transaction card may dynamically activate one or more output components associated with the transaction card based on the amount of electric current induced in the first nfc component. the one or more output components may indicate whether the transaction card can communicate with the transaction terminal. the transaction card may perform an action related to completing a transaction after determining that the amount of electric current induced in the nfc component satisfies a first threshold. the first threshold may indicate that the transaction card can communicate with the transaction terminal.
20240428091. FILTERING COUNTERFACTUAL CONDITIONALS_simplified_abstract_(capital one services, llc)
Inventor(s): Samuel SHARPE of Cambridge MA (US) for capital one services, llc, Christopher Bayan BRUSS of Washington DC (US) for capital one services, llc, Brian BARR of Schenectady NY (US) for capital one services, llc
IPC Code(s): G06N5/025
CPC Code(s): G06N5/025
Abstract: a method and related system operations include determining a predicted category by providing a prediction model with a set of input feature values and generating a plurality of conditionals based on the set of input feature values for a set of features and the predicted category. the method also includes filtering the plurality of conditionals based on a knowledge base to obtain a selected conditional by generating a set of sub-conditional paths by providing, as an input for a prompt generator model, a candidate conditional of the plurality of conditionals to the prompt generator model and selecting the candidate conditional as the selected conditional based on a determination that the set of sub-conditional paths satisfies a set of criteria associated with a set of sequences of the knowledge base. the method further includes storing the selected conditional in a data structure in association with the set of input feature values.
Inventor(s): Samuel SHARPE of Cambridge MA (US) for capital one services, llc, Christopher Bayan BRUSS of Washington DC (US) for capital one services, llc, Brian BARR of Schenectady NY (US) for capital one services, llc
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: methods and systems are described herein for updating machine learning models based on the impact of features on predictions. the system inputs, into a machine learning model, a dataset including entries and features to obtain predictions. the machine learning model is trained to generate predictions for entries based on features. the system generates, for each entry, feature impact parameters indicating a relative impact of each feature on each prediction. the system determines a feature impact threshold for assessing which features have contributed to each prediction and generates, using the feature impact parameters and the feature impact threshold, a sparsity metric for each prediction. the sparsity metric indicates which features have relative impacts that meet the feature impact threshold for the prediction. the system generates a global sparsity metric for the machine learning model and updates the machine learning model based on the global sparsity metric.
Inventor(s): Samuel SHARPE of Cambridge MA (US) for capital one services, llc, Brian BARR of Schenectady NY (US) for capital one services, llc
IPC Code(s): G06N20/00, G06N5/022
CPC Code(s): G06N20/00
Abstract: methods and systems are described herein for updating machine learning models using weights. the system inputs, into a machine learning model, a dataset including entries and features to obtain a relative impact of each feature. the system generates, using the relative impacts, a sparsity metric for each entry, each sparsity metric indicating a measure of a number of features used to generate a corresponding prediction. the system retrieves a sparsity threshold for assigning weights to the plurality of entries. the system generates an updated dataset based on assigning, to each entry within the dataset, a corresponding weight. each corresponding weight is determined based on a relation of the sparsity metric to the sparsity threshold. the system inputs, into the machine learning model, the updated dataset to update the machine learning model based on the corresponding weights, where the machine learning model relies more heavily on entries with higher corresponding weights.
Inventor(s): Jeremy GOODSITT of Champaign IL (US) for capital one services, llc, Michael DAVIS of Arlington VA (US) for capital one services, llc, Taylor TURNER of Richmond VA (US) for capital one services, llc, Kenny BEAN of Herndon VA (US) for capital one services, llc, Tyler FARNAN of San Diego CA (US) for capital one services, llc
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: methods and systems for generating federated learning models. in some aspects, the system receives, from each client device, user data profiles that are anonymized with respect to users associated with user data stored locally at a client device. the system processes the user data profiles to generate a plurality of clusters. for each cluster, the system transmits, to one or more client devices corresponding to a cluster, a first instruction to train a machine learning model on user data corresponding to user data profiles included in the cluster and a second instruction to validate the machine learning model with respect to user data corresponding to one or more clusters of the plurality of clusters other than the cluster to generate a prediction accuracy metric. the system determines, from the plurality of clusters, a first cluster based on associated prediction accuracy metrics.
Inventor(s): Rahul Syal of New York NY (US) for capital one services, llc, Tyler Fearns of Richmond VA (US) for capital one services, llc, Chris Sylvia of Boston MA (US) for capital one services, llc, Justin Bougher of Boston MA (US) for capital one services, llc, Kishore Kolanu of Glen Allen VA (US) for capital one services, llc, David Ellis of San Diego CA (US) for capital one services, llc, Brenton Mallen of Richmond VA (US) for capital one services, llc, Rohan Khopkar of Chicago IL (US) for capital one services, llc
IPC Code(s): G06Q10/0639, G06N3/084
CPC Code(s): G06Q10/0639
Abstract: methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without access to data stored by corresponding virtual warehouses are described herein. a computing device may receive first performance metrics of one or more first queries executed by one or more first virtual warehouses. the computing device may then generate a trained machine learning model to simulate operating parameter changes and predict virtual warehouse query performance metrics. the computing device may then provide performance metrics for one or more second virtual warehouses to the trained machine learning model. output from the trained machine learning model may comprise performance metric predictions corresponding to a given configuration of a virtual warehouse. predicted costs associated with those performance metric predictions may be output and, based on user input, the operating parameter of the at least one of the one or more second virtual warehouses may be modified.
Inventor(s): Kaitlin NEWMAN of Washington DC (US) for capital one services, llc, Colin HART of Arlington VA (US) for capital one services, llc, Jeffrey RULE of Chevy Chase MD (US) for capital one services, llc, Lara MOSSLER of Farmville VA (US) for capital one services, llc, Sophie BERMUDEZ of Washington DC (US) for capital one services, llc, Michael MOSSOBA of Arlington VA (US) for capital one services, llc, Wayne LUTZ of Fort Washington MD (US) for capital one services, llc, Charles Nathan CRANK of Henrico VA (US) for capital one services, llc, Melissa HENG of Glen Allen VA (US) for capital one services, llc, Kevin OSBORN of Newton Highlands MA (US) for capital one services, llc, Kimberly HAYNES of Reston VA (US) for capital one services, llc, Andrew COGSWELL of Midlothian VA (US) for capital one services, llc, Latika GULATI of Annandale VA (US) for capital one services, llc, Sarah Jane CUNNINGHAM of Arlington VA (US) for capital one services, llc, James ASHFIELD of Midlothian VA (US) for capital one services, llc
IPC Code(s): G06Q20/38, G06Q20/34, H04L9/08
CPC Code(s): G06Q20/3829
Abstract: example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. in an embodiment, each of the transmitting and receiving devices can contain a master key. the transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.
20240428249. Image-based Authorization Systems_simplified_abstract_(capital one services, llc)
Inventor(s): Elizabeth M. Shoup of Mechanicsville VA (US) for capital one services, llc, Caroline Harriott of Richmond VA (US) for capital one services, llc, Imani Holmes of Richmond VA (US) for capital one services, llc, Joshua Edwards of Philadelphia PA (US) for capital one services, llc, Yingli Sieh of Cambridge MA (US) for capital one services, llc
IPC Code(s): G06Q20/40, G06Q20/38, G06T7/70, G06V20/50
CPC Code(s): G06Q20/4015
Abstract: aspects described herein may allow transactions to be authenticated based on images taken at the transaction site. for example, a computing device may decline a transaction request based on a first category of the transaction indicated in the category information violates a transaction category restriction of the user account. the computing device may send, to a user device associated with the user account, an instruction to upload one or more photos that depict a physical environment where the transaction is requested. if the photos indicate the requested transaction belongs to another category that does not violate the transaction category restriction, the system may approve the transaction based on the photos.
Inventor(s): Nishant Srivastava of Glen Allen VA (US) for capital one services, llc, Eric K. Barnum of Midlothian VA (US) for capital one services, llc, Suresh Chander Ramaraj of Glen Allen VA (US) for capital one services, llc, Eric Smith of Henrico VA (US) for capital one services, llc, Earle Michael Lee of Midlothian VA (US) for capital one services, llc, Kumari Bhawprita of Glen Allen VA (US) for capital one services, llc
IPC Code(s): G06Q20/42, G06F11/07, G06F11/14, G06F16/23, G06Q20/08, G06Q20/40
CPC Code(s): G06Q20/425
Abstract: aspects described herein may relate to a transaction exchange platform using a streaming data platform (sdp) and microservices to process transactions according to review and approval workflows. the transaction exchange platform may receive transactions from origination sources, which may be added to the sdp as transaction objects. as the transactions are received, the transactions may be analyzed to detect duplicate transactions and/or errors in the transactions. the transaction exchange platform may take steps to remediate transactions that are recognized as duplicates or predicted to generate one or more errors. similarly, the transaction exchange platform may take steps to remediate transactions that are rejected by a clearinghouse.
Inventor(s): Thomas DOHAN, II of Elmhurst IL (US) for capital one services, llc, Erik Jay Salazar DE LEON of Richmond VA (US) for capital one services, llc, Xiang LAN of South Orange NJ (US) for capital one services, llc, Min Jung KIM of Fairfax VA (US) for capital one services, llc, Brett William BISHOP of Golden CO (US) for capital one services, llc, John HEINER of Midlothian VA (US) for capital one services, llc
IPC Code(s): G06Q30/0282, G06F3/0483, G06Q30/0204
CPC Code(s): G06Q30/0282
Abstract: in some implementations, a system may identify one or more account identifiers associated with a user identifier. each account identifier may be associated with one or more categories each representing a type of interaction of one or more interactions associated with the account identifier. a respective interaction amount may be associated with each interaction. the system may determine, for each category, a total category amount that is a sum of interaction amounts for interactions in a particular category occurring within a particular time frame. the system may transmit user interface (ui) data associated with a multi-tab ui element including a plurality of tabs corresponding to the plurality of categories. each tab may be associated with benefits information related to a category corresponding to that tab. a first tab, corresponding to a category having a highest total category amount, may be presented in a particular position in the multi-tab ui element.
Inventor(s): Joshua EDWARDS of Philadelphia PA (US) for capital one services, llc, Carrie NORMAN of Frisco TX (US) for capital one services, llc, Abdelkader M'Hamed BENKREIRA of Washington DC (US) for capital one services, llc
IPC Code(s): H04L41/5074, G06N20/00, G06Q10/06, G06Q30/016, H04L41/5061, H04L51/02
CPC Code(s): H04L41/5074
Abstract: in some embodiments, a queue may be monitored to perform an automated adjustment related to a data item in the queue. in some embodiments, the data item may be associated with a product or service and include a code related to an access to the product or service. based on the code, configuration information related to the product or service may be obtained. based on a detected change related to the product or service, an indication of a set of self-support actions may be sent to a user device. one or more self-support actions (performed via the user device) may be determined, and an adjustment related to the access to the product or service may be performed based on the determined self-support actions. in some embodiments, the adjustment may include modifying a configuration of the access to the product or service based on the determined self-support actions.
Inventor(s): Robert Dwane WOKATY, JR. of Glen Allen VA (US) for capital one services, llc
IPC Code(s): H04L9/40
CPC Code(s): H04L63/083
Abstract: systems and methods for authentication of resource objects at a public portal. in some aspects, a system, in response to receiving a resource object, requests data including: () a flag indicating whether a resource object associated with the resource identifier present on the resource object is under control of the user or another user and () a last recorded time and location associated with the resource identifier being scanned at the public portal or another public portal. the system determines that the resource object is under control of the user or another user, and responsive to that determination, determines a threshold based on time elapsed between the last recorded time and the time the resource object was received. the system, in response to determining that a distance between the public portal and the last recorded location exceeds the threshold, generates a command to escalate the resource object for further processing.
Inventor(s): Kevin Osborn of Newton Highlands MA (US) for capital one services, llc, Francis Ogbennah of Arlington VA (US) for capital one services, llc, Anita Eradla of Ashburn VA (US) for capital one services, llc
IPC Code(s): H04L9/40
CPC Code(s): H04L63/102
Abstract: a computer-implemented method includes detecting a communication session established between a first computing device of a first user and a second computing device of a second user; generating session identification information for the communication session; detecting a triggering condition during the communication session to verify an identity of the first user; causing the second computing device to instruct the first user to interact a smart transaction card with the first computing device such that a one-time data item is transmitted from the smart transaction card to an application executing on the first computing device, the one-time data item dynamically generated by the smart transaction card, where the first user is authenticated via the application based at least in part on the level of authentication and the one-time data item; generating a verification token for the communication session, the authentication result stored in association with the session information.
Inventor(s): Farshid Marbouti of San Jose CA (US) for capital one services, llc, Gupreet Singh Sandhu of Walnut Creek CA (US) for capital one services, llc, Sarvani Kare of Clarksville MD (US) for capital one services, llc, Nahid Farhady Ghalaty of Fairfax VA (US) for capital one services, llc, Daniel Liu of Palo Alto CA (US) for capital one services, llc, Patrick Sofo of Arlington VA (US) for capital one services, llc, Lee Adcock of Midlothian VA (US) for capital one services, llc
IPC Code(s): H04L9/40, G06F40/30, H04L41/16
CPC Code(s): H04L63/1416
Abstract: methods and systems comprising a first portion of a model that includes a model component that is trained to perform sentiment analysis based on training data for a plurality of users (e.g., what language, phrases, and/or responses the population at large uses). the first portion of the model also includes a model component that is trained to identify user intent based on the sentiment analysis that is specific to user groups. for example, the system first determines the likely context and/or meaning of communications of the user. the system then determines a likely intent of the user based on the likely context and/or meaning of communications (e.g., based on a correlation of the meaning of communications of the user and the intents of users corresponding to a user group of the user).
Inventor(s): Kaitlin NEWMAN of Washington DC (US) for capital one services, llc, Kimberly HAYNES of Reston VA (US) for capital one services, llc, Charles Nathan CRANK of Henrico VA (US) for capital one services, llc, Andrew COGSWELL of Midlothian VA (US) for capital one services, llc, Colin HART of Arlington VA (US) for capital one services, llc, Jeffrey RULE of Chevy Chase MD (US) for capital one services, llc, Lara MOSSLER of Farmville VA (US) for capital one services, llc, Latika GULATI of Annandale VA (US) for capital one services, llc, Abdelkader BENKREIRA of Washington DC (US) for capital one services, llc, Sarah Jane CUNNINGHAM of Arlington VA (US) for capital one services, llc, Sophie BERMUDEZ of Washington DC (US) for capital one services, llc, Michael MOSSOBA of Arlington VA (US) for capital one services, llc, Wayne LUTZ of Fort Washington MD (US) for capital one services, llc
IPC Code(s): H04W12/06, H04W12/041, H04W12/47, H04W12/60
CPC Code(s): H04W12/06
Abstract: example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. in an embodiment, each of the transmitting and receiving devices can contain a master key. the transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.
Capital One Services, LLC patent applications on December 26th, 2024
- Capital One Services, LLC
- G06F11/07
- G06F11/32
- G06F11/36
- CPC G06F11/0772
- Capital one services, llc
- G06N5/022
- G06N5/04
- CPC G06F11/0793
- G06N20/00
- CPC G06F11/3672
- G06F16/2455
- G06F16/2453
- G06F16/248
- G06F21/62
- CPC G06F16/24553
- G06N3/084
- CPC G06F16/2456
- G06F16/25
- G06F21/31
- CPC G06F16/254
- G06F16/176
- G06F16/23
- CPC G06F21/6218
- G06K7/10
- G06Q20/34
- H04B5/70
- H04W4/80
- CPC G06K7/10297
- G06N5/025
- CPC G06N5/025
- CPC G06N20/00
- G06Q10/0639
- CPC G06Q10/0639
- G06Q20/38
- H04L9/08
- CPC G06Q20/3829
- G06Q20/40
- G06T7/70
- G06V20/50
- CPC G06Q20/4015
- G06Q20/42
- G06F11/14
- G06Q20/08
- CPC G06Q20/425
- G06Q30/0282
- G06F3/0483
- G06Q30/0204
- CPC G06Q30/0282
- H04L41/5074
- G06Q10/06
- G06Q30/016
- H04L41/5061
- H04L51/02
- CPC H04L41/5074
- H04L9/40
- CPC H04L63/083
- CPC H04L63/102
- G06F40/30
- H04L41/16
- CPC H04L63/1416
- H04W12/06
- H04W12/041
- H04W12/47
- H04W12/60
- CPC H04W12/06