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公开(公告)号：US11645564B2
公开(公告)日：2023-05-09
申请号：US17404356
申请日：2021-08-17
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho , Carly Wood , Vaibhav Sharma
Abstract: 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：US20220067560A1
公开(公告)日：2022-03-03
申请号：US17404356
申请日：2021-08-17
Applicant: INTUIT, INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho , Carly Wood , Vaibhav Sharma
Abstract: 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：US11120349B1
公开(公告)日：2021-09-14
申请号：US15913812
申请日：2018-03-06
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho , Carly Wood , Vaibhav Sharma
Abstract: 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：US11429881B1
公开(公告)日：2022-08-30
申请号：US16510195
申请日：2019-07-12
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho
Abstract: Certain aspects of the present disclosure provide techniques for providing personalized groups of travel data for review through a user interface. Embodiments include receiving trip records associated with a user from an application running on a remote device, providing the trip records to a prediction model, and receiving a plurality of groups from the prediction model, each group of the plurality of groups comprising a subset of the trip records. Embodiments include providing each group of the plurality of groups to a personalization model, the personalization model having been trained based on user feedback to determine personalization scores for each group of the plurality of groups. Embodiments include receiving a personalization score for each group of the plurality of groups from the personalization model and transmitting one or more groups selected based on the personalization scores to the application to be displayed via the user interface.
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公开(公告)号：US10909147B2
公开(公告)日：2021-02-02
申请号：US15955345
申请日：2018-04-17
Applicant: INTUIT INC.
Inventor： Joanna Sim , Hannah Hudson , Rit Mishra , Justin Calles , Prasannavenkatesh Chandrasekar , Carly Wood , Grace Wu , Susrutha Gongalla , Heidi Yang , Gerald Carvalho , Justin Li , Catherine Cacheris
IPC: G06F16/00 , G06F16/28 , G06F3/0485 , G06N7/00
Abstract: Aspects of the present disclosure provide techniques for displaying reduced data sets based on pre-classification of a larger data set. Embodiments include receiving a plurality of activity records describing a plurality of activities associated with the user. Embodiments further include grouping the plurality of activities into one or more pre-classified data sets based on the plurality of activity records. Embodiments further include providing the user with a summary of a pre-classified data set of the one or more pre-classified data sets via a user interface. Embodiments further include providing the user, via the user interface, with a user interface element that allows the user to categorize all activities in the pre-classified data set together based on the summary. Embodiments further include receiving input from the user via the user interface, the input assigning a category to all activities in the pre-classified data set together based on the summary.
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Patent Agency Ranking
公开(公告)号：US11907864B2
公开(公告)日：2024-02-20
申请号：US18194679
申请日：2023-04-03
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho , Carly Wood , Vaibhav Sharma
Abstract: 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：US11802777B2
公开(公告)日：2023-10-31
申请号：US18172103
申请日：2023-02-21
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho
IPC: G01C21/36 , G01C21/34 , G06N20/00 , G06Q40/10 , G06Q10/047
CPC classification number: G01C21/3617 , G01C21/343 , G06N20/00 , G06Q10/047 , G06Q40/10 , Y10S707/919
Abstract: 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：US11585671B1
公开(公告)日：2023-02-21
申请号：US16508238
申请日：2019-07-10
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho
Abstract: 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：US12236367B2
公开(公告)日：2025-02-25
申请号：US18409987
申请日：2024-01-11
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Nhung Ho , Carly Wood , Vaibhav Sharma
Abstract: 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：US11720603B2
公开(公告)日：2023-08-08
申请号：US17141451
申请日：2021-01-05
Applicant: INTUIT INC.
Inventor： Joanna Sim , Hannah Hudson , Rit Mishra , Justin Calles , Prasannavenkatesh Chandrasekar , Carly Wood , Grace Wu , Susrutha Gongalla , Heidi Yang , Gerald Carvalho , Justin Li , Catherine Cacheris
IPC: G06F16/00 , G06F16/28 , G06F3/0485 , G06N7/01
CPC classification number: G06F16/287 , G06F3/0485 , G06N7/01
Abstract: Aspects of the present disclosure provide techniques for displaying reduced data sets based on pre-classification of a larger data set. Embodiments include receiving a plurality of activity records describing a plurality of activities associated with the user. Embodiments further include grouping the plurality of activities into one or more pre-classified data sets based on the plurality of activity records. Embodiments further include providing the user with a summary of a pre-classified data set of the one or more pre-classified data sets via a user interface. Embodiments further include providing the user, via the user interface, with a user interface element that allows the user to provide input related to the pre-classified data set based on the summary. Embodiments further include receiving input from the user via the user interface, the input relating to the pre-classified data set.
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