AUGMENTING SEARCH RESULTS BASED ON RELEVANCY AND UTILITY

    公开(公告)号:US20230131872A1

    公开(公告)日:2023-04-27

    申请号:US17510714

    申请日:2021-10-26

    Applicant: Intuit Inc.

    Abstract: Systems and methods for generating augmented search results are disclosed. An example method may be performed by one or more processors of a ranking system and include receiving a search query, generating, for each respective data asset of a plurality of data assets, a query relevancy score indicating a likelihood that the respective data asset is relevant to the search query, retrieving, for each of a number of potentially relevant data assets, a utility score indicating a likelihood that the potentially relevant data asset is useful, generating, for each of the number of potentially relevant data assets, an augmented query score indicating a likelihood that the potentially relevant data asset is relevant to and useful for the search query based on the query relevancy scores and the utility scores, and generating augmented search results for the search query based on the augmented query scores.

    EXTRACTING KEY VALUE PAIRS USING POSITIONAL COORDINATES

    公开(公告)号:US20230123711A1

    公开(公告)日:2023-04-20

    申请号:US17504339

    申请日:2021-10-18

    Applicant: INTUIT INC.

    Inventor: Conrad DE PEUTER

    Abstract: Certain aspects of the present disclosure provide techniques for extracting information, including receiving a document comprising a plurality of tokens, wherein each token is associated with position coordinates; determining a classification for at least one token; generating a plurality of key-value pairs based on the positional coordinates; analyzing each respective key-value pair of the plurality of key-value pairs based on whether a token of the two tokens of each respective key-value pair matches a type associated with the respective key-value pair; determining a correct key-value pair of the plurality of key-value pairs based on the correct key-value pair comprising a matched token that matches the type associated with the correct key-value pair; and providing the classification and the correct key-value pair to a component of an application associated with the document.

    Database integration for machine learning input

    公开(公告)号:US11604833B1

    公开(公告)日:2023-03-14

    申请号:US17829345

    申请日:2022-05-31

    Applicant: Intuit Inc.

    Abstract: A method including retrieving first data from first and second databases. The databases include different, incompatible formats and described different aspect of subjects. The data in the respective databases is referenceable using a common key type. The method also includes converting, into combined data, the first data and the second data into a canonical form configured for use as input to a machine learning model. The method also includes generating, using the common key type, pre-processed data by correlating, for ones of the subjects in the combined data, the first aspect of the subjects to the second aspect of the subjects. The machine learning model takes, as an input, the first aspect and the second aspect for each of the subjects in the pre-processed data, and generates, as an output, a prediction for a selected subject in the subjects. The method also includes presenting the output.

    Instant conferencing system
    137.
    发明授权

    公开(公告)号:US11601485B2

    公开(公告)日:2023-03-07

    申请号:US17334627

    申请日:2021-05-28

    Applicant: Intuit Inc.

    Abstract: A method including receiving, at a platform and from a first user using a first user device, selection of a uniform resource indicator (URI) unique to a second user using a second user device. The method also includes generating, automatically by the platform in response to receiving the URI, a conference session unique to the first user and the second user. The method also includes transmitting, automatically by the platform, a message to the second user, the message indicating that the conference session is initiated. The method also includes receiving, by the platform, an indication from the second user device that the second user joins the conference session. The method also includes joining, automatically by the platform, the first user device and the second user device in the conference session.

    RECURRENT NEURAL NETWORK BASED PREDICTIONS

    公开(公告)号:US20230054609A1

    公开(公告)日:2023-02-23

    申请号:US17405326

    申请日:2021-08-18

    Applicant: Intuit Inc.

    Abstract: Systems and methods for predicting a future status of an entity using a recurrent neural network are described. A system is configured to obtain a first time series data associated with a first entity. The system is also configured to predict, by a recurrent neural network, a future equity status of the first entity based on the time series data. The system is also configured to provide an indication of the future equity status of the first entity, with the future equity status of the first entity to be indicated to a user. An equity status may be a cash status of an entity, and predicting the cash status of the first entity can be based on time series of a plurality of features associated with the first entity provided to the recurrent neural network. The recurrent neural network may be a long short-term memory network.

    Method and system for dynamically and reliably scaling data processing pipelines in a computing environment

    公开(公告)号:US11586467B1

    公开(公告)日:2023-02-21

    申请号:US17709229

    申请日:2022-03-30

    Applicant: INTUIT INC.

    Abstract: Certain embodiments of the present disclosure provide techniques for dynamically and reliably scaling a data processing pipeline in a computing environment. The method generally includes receiving a definition of a data pipeline to be instantiated on a set of resources in a computing environment. The data pipeline is converted into a plurality of steps, each step being defined as one or more workers. The one or more workers are instantiated. Each worker generally includes a user process and a processing coordinator to coordinate termination of the user process. Communications are orchestrated between one or more data sources and the one or more workers. The one or more workers are terminated by invoking a termination coordination process exposed by the user process and the processing coordinator associated with each worker of the one or more workers.

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