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3073 条记录 (耗时 0.039 秒)

    Methods systems and articles of manufacture for modifying user interaction with online banking site
    2.
    发明授权
    Methods systems and articles of manufacture for modifying user interaction with online banking site 有权

    公开(公告)号：US12131303B2

    公开(公告)日：2024-10-29

    申请号：US16950946

    申请日：2020-11-18

    申请人： INTUIT INC.

    发明人： Jacob Rozin ,  Brandon J. Gador

    IPC分类号： G06Q20/10

    CPC分类号： G06Q20/108

    摘要： Data of prior online banking sessions is logged or stored and analyzed to identify online banking action patterns and pages or screens of an online banking website used to execute the actions. User profile data associated with executed actions is also identified. User profile data may involve the computing device used to access the site, location and/or temporal data such as date, time and frequency. When profile data of a current online banking session is received, rules dictating how the user interface of the online banking website can be selectively modified are accessed and applied to identify a page or screen to be presented to the user thus bypassing at least one intermediate page or screen that would have otherwise been presented to the user navigating the online banking website according to its pre-defined structure.

    Converting from compressed language to natural language
    3.
    发明授权
    Converting from compressed language to natural language 有权

    公开(公告)号：US12118309B2

    公开(公告)日：2024-10-15

    申请号：US17488270

    申请日：2021-09-28

    申请人： Intuit Inc.

    发明人： Esmé Manandise ,  Glenn Carter Scott

    IPC分类号： G06F40/284

    CPC分类号： G06F40/284

    摘要： A method converts from compressed language to natural language. The method includes receiving an element string. The element string is in a compressed language format and is extracted from a document in a structured document language. The method includes tokenizing the element string to form multiple element tokens, generating a token set from the element tokens, and generating a name string from multiple token sets. The name string is in a natural language format.

    MODEL SELECTION IN ENSEMBLE LEARNING
    5.
    发明公开
    MODEL SELECTION IN ENSEMBLE LEARNING 审中-公开

    公开(公告)号：US20240338611A1

    公开(公告)日：2024-10-10

    申请号：US18131831

    申请日：2023-04-06

    申请人： Intuit, Inc.

    发明人： Eyal SHAFRAN ,  Bor-Chau JUANG ,  Steven J. BROWN ,  Linxia LIAO ,  Nicholas R. JOHNSON ,  Christiana Mei Hui CHEN

    IPC分类号： G06N20/20

    CPC分类号： G06N20/20 ,  G06N3/0985 ,  G06N5/04

    摘要： Certain aspects of the present disclosure provide techniques for detecting data errors. A method generally includes training each of a plurality of models on a plurality of training data sets to generate a set of trained models, determining a plurality of subsets of trained models from the set of trained models, for each respective subset: determining a plurality of ensemble outputs for the respective subset based on a plurality of validation data sets; and determining at least one evaluation metric for the respective subset based on the plurality of ensemble outputs; and determining an ensemble model as a subset of trained models having a best evaluation metric among a plurality of evaluation metrics associated with the plurality of subsets, wherein each subset comprises a different selection of models from the set of trained model than each other subset of trained models in the plurality of subsets of trained models.

    BRAND ENGINE FOR EXTRACTING AND PRESENTING BRAND DATA WITH USER INTERFACES
    6.
    发明公开
    BRAND ENGINE FOR EXTRACTING AND PRESENTING BRAND DATA WITH USER INTERFACES 审中-公开

    公开(公告)号：US20240330987A1

    公开(公告)日：2024-10-03

    申请号：US18129823

    申请日：2023-03-31

    申请人： Intuit Inc.

    发明人： Ivan SHEVCHENKO ,  Tatiana SUKHOVA

    IPC分类号： G06Q30/0241 ,  G06F40/106 ,  G06F40/186

    CPC分类号： G06Q30/0276 ,  G06F40/106 ,  G06F40/186

    摘要： A method implements brand engine for extracting and presenting brand data with user interfaces. The method includes receiving a blueprint with a set of structure blocks extracted from a selected content. A structure block of the set of structure blocks includes a set of style parameter requests for a section of the selected content. The method further includes processing the set of structure blocks with a first set of smart blocks to generate a set of scores. A smart block of the first set of smart blocks includes brand data with style parameter selections. The method further includes selecting a second set of smart blocks, for the set of structure blocks, from the first set of smart blocks, using the set of scores. The method further includes presenting the second set of smart blocks with the brand data.

    Embedding performance optimization through use of a summary model
    7.
    发明授权
    Embedding performance optimization through use of a summary model 有权

    公开(公告)号：US12099539B2

    公开(公告)日：2024-09-24

    申请号：US17647607

    申请日：2022-01-11

    申请人： INTUIT INC.

    发明人： Krysten Nicole Dell ,  Jason Heckendorn ,  Lin Tao ,  Yingxin Wang

    IPC分类号： G06F17/00 ,  G06F16/34 ,  G06F16/35 ,  G06N7/01 ,  G06N20/00

    CPC分类号： G06F16/35 ,  G06F16/345 ,  G06N7/01 ,  G06N20/00

    摘要： Aspects of the present disclosure provide techniques for improved text classification. Embodiments include providing, based on a text string, one or more first inputs to a summary model. Embodiments include determining, based on one or more first outputs from the summary model in response to the one or more first inputs, a summarized version of the text string. In some embodiments the summarized version of the text string comprises a number of tokens that is less than or equal to a maximum number of input tokens for a machine learning model. Embodiments include providing, based on the summarized version of the text string, one or more second inputs to the machine learning model. Embodiments include determining one or more attributes of the text string based on one or more second outputs received from the machine learning model in response to the one or more second inputs.

    IDENTIFYING RECURRING EVENTS USING AUTOMATED SEMI-SUPERVISED CLASSIFIERS
    9.
    发明公开
    IDENTIFYING RECURRING EVENTS USING AUTOMATED SEMI-SUPERVISED CLASSIFIERS 审中-公开

    公开(公告)号：US20240289688A1

    公开(公告)日：2024-08-29

    申请号：US18444445

    申请日：2024-02-16

    申请人： Intuit Inc.

    发明人： Yuan ZHOU ,  Shashank SHASHIKANT RAO ,  Sricharan KALLUR PALLI KUMAR

    IPC分类号： G06N20/00

    CPC分类号： G06N20/00

    摘要： Systems and methods for training machine learning models are disclosed. An example method includes receiving historical event timing data including event data for a first portion including events from a first time period, and a second portion comprising events from a second time period not including the first time period, predicting, based on the first portion of the historical event timing data, a first plurality of predicted events, the first plurality of predicted events corresponding to the second time period, determining a first subset of predicted events to be accurate predictions based at least in part on comparing the first plurality of predicted events to the historical events occurring within the second time period, generating training data based at least in part on the first subset of the first plurality of predicted events, and training the machine learning model based at least in part on the training data.