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1.
公开(公告)号:US11816422B1
公开(公告)日:2023-11-14
申请号:US17886818
申请日:2022-08-12
Applicant: Capital One Services, LLC
Inventor: Peter Tanski , Matthew Peroni , Deny Daniel , Ranjith Zachariah , Kevin Zhang , Viji Soundar , Paul Vest
IPC: G06F17/00 , G06F40/166 , G06F40/295 , G06F40/40
CPC classification number: G06F40/166 , G06F40/295 , G06F40/40
Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically suggest a word, phrase, or entity to complete a sequence in a risk control document. The computing system classifies, by a generative machine learning (ML) model, risk control features associated with phrases in a risk control document. The computing system then generates, by the generative ML model and based on the classified risk control features, suggested words, phrases, or entities to complete a sequence following a cursor position in the risk control document. The computing system then corrects, by a discriminative natural language processing (NLP) model with domain specific knowledge, the suggested words, phrases, or entities. Subsequently, the computing system generates, by a discriminative predictor system, an encoded sequence of word, phrase, or entity suggestions based on the cursor position, the classified risk control features, and the corrected suggested words, phrases, or entities.
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公开(公告)号:US12022281B2
公开(公告)日:2024-06-25
申请号:US17355279
申请日:2021-06-23
Applicant: Capital One Services, LLC
Inventor: Rajko Ilincic , Lin Ni Lisa Cheng , Phoebe Atkins , Deny Daniel , Cruz Vargas
Abstract: Methods and systems are disclosed herein for secure communication between computing devices. A mobile device may communicate with an untrusted device to cause the untrusted device to send information (e.g., encrypted information that the untrusted device is unable to decrypt) to a server using an Internet connection of the untrusted device. The mobile device may have limited or no access to the Internet. To prevent potential security risks associated with using a public or untrusted device, the mobile device may encrypt information stored on the mobile device (e.g., stored in a mobile application associated with the server), send it to the untrusted device (e.g., by displaying a QR code to a camera of the untrusted device), and the untrusted device may send the information to the server via a network connection of the untrusted device.
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公开(公告)号:US20230050482A1
公开(公告)日:2023-02-16
申请号:US17831475
申请日:2022-06-03
Applicant: Capital One Services, LLC
Inventor: Cruz Vargas , Phoebe Atkins , Rajko Ilincic , Matthew Peroni , Lin Ni Lisa Cheng , Deny Daniel
Abstract: Disclosed embodiments may include a system that may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.
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4.
公开(公告)号:US12073414B2
公开(公告)日:2024-08-27
申请号:US17403160
申请日:2021-08-16
Applicant: Capital One Services, LLC
Inventor: Deny Daniel , Lin Ni Lisa Cheng , Phoebe Atkins , Cruz Vargas , Matthew Peroni , Rajko Ilincic
IPC: G06Q30/016 , G06N3/08
CPC classification number: G06Q30/016 , G06N3/08
Abstract: Disclosed embodiments may include a system that may receive an interaction message associated with an interaction a user has with an application or website, the interaction message may include an error message or a repeated action message. The system may identify, using a first machine learning model, one or more issues associated with the interaction message, retrieve one or more troubleshooting steps mapped to the one or more issues, and generate a first message comprising the one or more troubleshooting steps and a feedback request on an effectiveness of the one or more troubleshooting steps. The system may transmit the first message to the user, receive feedback from the user in response to the feedback request, and determine whether the feedback is negative. When the feedback is negative, the system may transmit a second message to a representative requesting the representative call the user.
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5.
公开(公告)号:US20230047346A1
公开(公告)日:2023-02-16
申请号:US17403160
申请日:2021-08-16
Applicant: Capital One Services, LLC
Inventor: Deny Daniel , Lin Ni Lisa Cheng , Phoebe Atkins , Cruz Vargas , Matthew Peroni , Rajko Ilincic
Abstract: Disclosed embodiments may include a system that may receive an interaction message associated with an interaction a user has with an application or website, the interaction message may include an error message or a repeated action message. The system may identify, using a first machine learning model, one or more issues associated with the interaction message, retrieve one or more troubleshooting steps mapped to the one or more issues, and generate a first message comprising the one or more troubleshooting steps and a feedback request on an effectiveness of the one or more troubleshooting steps. The system may transmit the first message to the user, receive feedback from the user in response to the feedback request, and determine whether the feedback is negative. When the feedback is negative, the system may transmit a second message to a representative requesting the representative call the user.
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6.
公开(公告)号:US12051022B2
公开(公告)日:2024-07-30
申请号:US17884986
申请日:2022-08-10
Applicant: Capital One Services, LLC
Inventor: Peter Tanski , Matthew Peroni , Deny Daniel , Ranjith Zachariah , Viji Soundar , Paul Vest , Kevin Zhang
IPC: G06F17/00 , G06F40/211 , G06F40/295 , G06F40/40 , G06Q10/0635
CPC classification number: G06Q10/0635 , G06F40/211 , G06F40/295 , G06F40/40
Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically identify risk control features and entities in a risk control document. The computing system uses a generative machine learning (ML) model to transform a risk control document into sequences of words, classify risk control features associated with the sequences of words, and pair the sequences of words with the classified risk control features. The computing system then uses a natural language processing (NLP) model to identify syntactic characteristics of the sequences of words. Subsequently, the computing system uses a discriminative predictor system to correct the classified risk control features based on the identified syntactic characteristics, identify boundaries of the corrected classified risk control features, and pair the identified boundaries with the corrected classified risk control features.
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公开(公告)号:US11716421B2
公开(公告)日:2023-08-01
申请号:US17831475
申请日:2022-06-03
Applicant: Capital One Services, LLC
Inventor: Cruz Vargas , Phoebe Atkins , Rajko Ilincic , Matthew Peroni , Lin Ni Lisa Cheng , Deny Daniel
CPC classification number: H04M3/5233 , G06N20/00 , G10L25/63 , H04M3/42348 , H04M3/42382 , H04M3/5175 , H04M3/5237 , H04M2203/408
Abstract: A system may receive an indication that a user is accessing an ATM, receive, from the ATM, average session duration data over a predetermined period, generate, using a machine learning model, a busyness score for the ATM based on the average session duration data over the predetermined period, and determine whether the busyness score for the ATM exceeds a busyness score threshold. When the busyness score for the ATM does not exceed the busyness score threshold, the system may cause the ATM to present, via a first graphical user interface, a default ATM experience. When the busyness score for the ATM exceeds the busyness score threshold, the system may cause the ATM to present via, a second graphical user interface, a busy ATM experience.
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