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11 条记录 (耗时 0.018 秒)

    UPDATING A DOCUMENT BASED ON TRANSACTION ANALYSIS
    1.
    发明申请
    UPDATING A DOCUMENT BASED ON TRANSACTION ANALYSIS 审中-公开

    公开(公告)号：US20200334774A1

    公开(公告)日：2020-10-22

    申请号：US16387048

    申请日：2019-04-17

    申请人： Capital One Services, LLC

    发明人： Alexandra COLEVAS ,  Sophie BERMUDEZ ,  Kaylyn GIBILTERRA ,  Sarah J. CUNNINGHAM ,  Salik SHAH ,  Michael SAIA

    IPC分类号： G06Q50/18 ,  G06N20/20 ,  G06F17/28

    摘要： A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications. The platform provides the information identifying the potential modifications.

    COMPUTER VISION BASED ASSET EVALUATION
    2.
    发明申请
    COMPUTER VISION BASED ASSET EVALUATION 审中-公开

    公开(公告)号：US20200334459A1

    公开(公告)日：2020-10-22

    申请号：US16535340

    申请日：2019-08-08

    申请人： Capital One Services, LLC

    发明人： Sophie BERMUDEZ ,  Alexandra COLEVAS ,  Michael SAIA ,  Kaylyn GIBILTERRA ,  Sarah J. CUNNINGHAM ,  Salik SHAH

    IPC分类号： G06K9/00 ,  G06N20/00 ,  H04L12/911

    摘要： A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.

    SYSTEMS AND METHODS FOR PROVIDING A VIRTUAL ASSISTANT
    3.
    发明申请
    SYSTEMS AND METHODS FOR PROVIDING A VIRTUAL ASSISTANT 审中-公开

    公开(公告)号：US20200211532A1

    公开(公告)日：2020-07-02

    申请号：US16686544

    申请日：2019-11-18

    申请人： Capital One Services, LLC

    发明人： Jeffrey Rule ,  Kaylyn GIBILTERRA ,  Abdelkader BENKREIRA ,  Michael MOSSOBA

    IPC分类号： G10L13/04 ,  H04L29/06 ,  G10L15/22 ,  G10L13/033

    摘要： Systems and methods for selecting a virtual assistant are provided. An example system may include at least one memory device storing instructions and at least one processor configured to execute the instructions to perform operations that may include receiving a request from a user for a response, and identifying characteristics of the user based on the user request. The operations may also include determining a type of the user request and based on the determined type of the user request and the identified user characteristics, configuring a virtual assistant to interact with the user through at least one of synthesized speech or visual signals. The operations may also include providing the virtual assistant to interact with the user.

    UTILIZING A MACHINE LEARNING MODEL TO DETERMINE ANONYMIZED AVATARS FOR EMPLOYMENT INTERVIEWS
    5.
    发明申请
    UTILIZING A MACHINE LEARNING MODEL TO DETERMINE ANONYMIZED AVATARS FOR EMPLOYMENT INTERVIEWS 有权

    公开(公告)号：US20220383263A1

    公开(公告)日：2022-12-01

    申请号：US17809989

    申请日：2022-06-30

    申请人： Capital One Services, LLC

    发明人： Michael MOSSOBA ,  Abdelkadar M'Hamed BENKREIRA ,  Jeffrey RULE ,  Kaylyn GIBILTERRA

    IPC分类号： G06Q10/10

    摘要： A device receives interviewer data, associated with interviewers conducting interviews with interviewees, that includes data identifying avatars presented to the interviewers. The device receives interviewee data, associated with the interviewees, that includes data identifying genders of the interviewees. The device processes the interviewer data and the interviewee data, with a model, to generate unbiased training data, and trains a machine learning model, with the unbiased training data, to generate a trained machine learning model. The device receives particular interviewer data identifying a particular role, location, and/or gender of a particular interviewer, and receives particular interviewee data identifying a gender of a particular interviewee. The device processes the particular interviewer data and the particular interviewee data, with the trained machine learning model, to determine one or more anonymized avatars to present to the particular interviewer, and performs one or more actions based on the one or more anonymized avatars.

    UPDATING A DOCUMENT BASED ON TRANSACTION ANALYSIS
    6.
    发明申请
    UPDATING A DOCUMENT BASED ON TRANSACTION ANALYSIS 有权

    公开(公告)号：US20210224939A1

    公开(公告)日：2021-07-22

    申请号：US17301579

    申请日：2021-04-08

    申请人： Capital One Services, LLC

    发明人： Alexandra COLEVAS ,  Sophie BERMUDEZ ,  Kaylyn GIBILTERRA ,  Sarah J. CUNNINGHAM ,  Salik SHAH ,  Michael SAIA

    IPC分类号： G06Q50/18 ,  G06N20/20 ,  G06F40/55

    摘要： A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications. The platform provides the information identifying the potential modifications.

    UTILIZING A MACHINE LEARNING MODEL TO DETERMINE ANONYMIZED AVATARS FOR EMPLOYMENT INTERVIEWS
    7.
    发明申请
    UTILIZING A MACHINE LEARNING MODEL TO DETERMINE ANONYMIZED AVATARS FOR EMPLOYMENT INTERVIEWS 有权

    公开(公告)号：US20210035047A1

    公开(公告)日：2021-02-04

    申请号：US16530531

    申请日：2019-08-02

    申请人： Capital One Services, LLC

    发明人： Michael MOSSOBA ,  Abdelkadar M'Hamed BENKREIRA ,  Jeffrey RULE ,  Kaylyn GIBILTERRA

    IPC分类号： G06Q10/06 ,  G06Q10/10 ,  G06N20/00 ,  G06T13/00

    摘要： A device receives interviewer data, associated with interviewers conducting interviews with interviewees, that includes data identifying avatars presented to the interviewers. The device receives interviewee data, associated with the interviewees, that includes data identifying genders of the interviewees. The device processes the interviewer data and the interviewee data, with a model, to generate unbiased training data, and trains a machine learning model, with the unbiased training data, to generate a trained machine learning model. The device receives particular interviewer data identifying a particular role, location, and/or gender of a particular interviewer, and receives particular interviewee data identifying a gender of a particular interviewee. The device processes the particular interviewer data and the particular interviewee data, with the trained machine learning model, to determine one or more anonymized avatars to present to the particular interviewer, and performs one or more actions based on the one or more anonymized avatars.

    SYSTEMS AND METHODS FOR DATA BREACH DETECTION USING VIRTUAL CARD NUMBERS
    8.
    发明公开
    SYSTEMS AND METHODS FOR DATA BREACH DETECTION USING VIRTUAL CARD NUMBERS 审中-公开

    公开(公告)号：US20230289810A1

    公开(公告)日：2023-09-14

    申请号：US18320610

    申请日：2023-05-19

    申请人： Capital One Services, LLC

    发明人： Jacob LEARNED ,  Michael SAIA ,  Max MIRACOLO ,  Kaylyn GIBILTERRA

    IPC分类号： G06Q20/40 ,  G06N3/08 ,  G06Q20/34 ,  H04L9/40

    CPC分类号： G06Q20/4016 ,  G06N3/08 ,  G06Q20/351 ,  H04L63/1416 ,  H04L63/1425

    摘要： Disclosed are systems and methods for data breach identification. The method may include: generating virtual card number (VCN) data sets; storing the VCN data sets on a first database; receiving one or more compromised VCN data sets stored on a second database and obtained from a scan of unindexed websites; comparing the compromised VCN data sets with the VCN data set stored on the first database to determine whether the VCN data sets have been compromised; for each compromised VCN data set, training the recurrent neural network (RNN) to associate the compromised VCN data sets with one or more sequential patterns found within the compromised VCN data sets to generate a trained RNN; receiving a first VCN data set from the first database; determining whether the first VCN data set matches a compromised VCN data set; and transmitting a message indicating the determination to a user or provider device.

    SYSTEMS AND METHODS FOR DATA BREACH DETECTION USING VIRTUAL CARD NUMBERS
    9.
    发明申请
    SYSTEMS AND METHODS FOR DATA BREACH DETECTION USING VIRTUAL CARD NUMBERS 有权

    公开(公告)号：US20220245640A1

    公开(公告)日：2022-08-04

    申请号：US17161732

    申请日：2021-01-29

    申请人： Capital One Services, LLC

    发明人： Jacob LEARNED ,  Michael SAIA ,  Max MIRACOLO ,  Kaylyn GIBILTERRA

    IPC分类号： G06Q20/40 ,  H04L29/06 ,  G06Q20/34 ,  G06N3/08

    摘要： Disclosed are systems and methods for data breach identification. The method may include: generating virtual card number (VCN) data sets; storing the VCN data sets on a first database; receiving one or more compromised VCN data sets stored on a second database and obtained from a scan of unindexed websites; comparing the compromised VCN data sets with the VCN data set stored on the first database to determine whether the VCN data sets have been compromised; for each compromised VCN data set, training the recurrent neural network (RNN) to associate the compromised VCN data sets with one or more sequential patterns found within the compromised VCN data sets to generate a trained RNN; receiving a first VCN data set from the first database; determining whether the first VCN data set matches a compromised VCN data set; and transmitting a message indicating the determination to a user or provider device.