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公开(公告)号：US20230325693A1
公开(公告)日：2023-10-12
申请号：US18194679
申请日：2023-04-03
申请人： INTUIT INC.
发明人： Grace WU , Shashank SHASHIKANT RAO , Susrutha GONGALLA , Ngoc Nhung HO , Carly WOOD , Vaibhav SHARMA
摘要： Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.
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公开(公告)号：US20240144059A1
公开(公告)日：2024-05-02
申请号：US18409987
申请日：2024-01-11
申请人： INTUIT INC.
发明人： Grace WU , Shashank SHASHIKANT RAO , Susrutha GONGALLA , Nhung HO , Carly WOOD , Vaibhav SHARMA
摘要： Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.
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公开(公告)号：US20240060791A1
公开(公告)日：2024-02-22
申请号：US18497293
申请日：2023-10-30
申请人： INTUIT INC.
IPC分类号： G01C21/36 , G01C21/34 , G06N20/00 , G06Q40/10 , G06Q10/047
CPC分类号： G01C21/3617 , G01C21/343 , G06N20/00 , G06Q40/10 , G06Q10/047 , Y10S707/919
摘要： Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.
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公开(公告)号：US20230194289A1
公开(公告)日：2023-06-22
申请号：US18172103
申请日：2023-02-21
申请人： INTUIT INC.
IPC分类号： G01C21/36 , G01C21/34 , G06N20/00 , G06Q40/10 , G06Q10/047
CPC分类号： G01C21/3617 , G01C21/343 , G06N20/00 , G06Q40/10 , G06Q10/047 , Y10S707/919
摘要： Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.
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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.
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.
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公开(公告)号：US20230316155A1
公开(公告)日：2023-10-05
申请号：US18051902
申请日：2022-11-02
申请人： INTUIT INC.
IPC分类号： G06N20/20 , H04W4/029 , G06V30/262
CPC分类号： G06N20/20 , H04W4/029 , G06V30/268 , G06F40/289
摘要： Certain aspects of the present disclosure provide techniques for recommending trip purposes to users of an application. Embodiments include receiving labeled travel data from the application running on a remote device including a plurality of trip purposes. Embodiments include building a topic model representing words associated with a plurality of topics. Embodiments include training a topic prediction model, using the plurality of topics and one or more features derived from each of the plurality of trip records, to output a topic based on an input trip record. Embodiments include training a purpose prediction model, using the topic model and the plurality of trip purposes, to output a trip purpose based on an input topic. The trip purpose may be recommended to a user via a user interface of the application running on the remote device.
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公开(公告)号：US20210034712A1
公开(公告)日：2021-02-04
申请号：US16526903
申请日：2019-07-30
申请人： INTUIT INC.
IPC分类号： G06F17/50
摘要： Certain aspects of the present disclosure provide techniques for providing a diagnostics framework for large scale hierarchical time series forecasting models. In one embodiment, a method includes providing a plurality of hierarchical time-series, each of the plurality of hierarchical time-series comprising node data; concurrently providing node data from the plurality of hierarchical time-series to a forecasting model; using the forecasting model, concurrently calculating a plurality of forecasting data corresponding to each one of the node data of the plurality of hierarchical time-series; concurrently calculating a plurality of performance metrics of the forecasting model using the plurality of forecasting data; and generate an updated forecasting model by modifying the forecasting model based upon the plurality of performance metrics; concurrently calculating a plurality of updated forecasting data corresponding to each one of the node data using the updated forecasting model; and provide the updated forecasting data to a user.
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