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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：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：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：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：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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公开(公告)号：US11693888B1
公开(公告)日：2023-07-04
申请号：US16508224
申请日：2019-07-10
Applicant: INTUIT INC.
Inventor： Grace Wu , Shashank Shashikant Rao , Susrutha Gongalla , Ngoc Nhung Ho , Carly Wood , Brooke Henderer , Vaibhav Sharma , Prasannavenkatesh Chandrasekar
CPC classification number: G06F16/287 , G06F16/29 , G06N5/04 , G06N5/046 , G06Q40/12 , G06Q40/123 , G06Q50/14 , G06N20/00 , H04W88/02
Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one embodiment, a method for providing grouped travel data to a user interface of an application, comprises: receiving a plurality of trip records from an application running on a remote device; providing a first subset of the plurality of trip records to a prediction model; providing a second subset of the plurality of trip records to a model training module; receiving labels for each trip record of the first subset of the plurality of trip records from the prediction model; grouping the first subset of the plurality of trip records based on the received labels; and transmitting the grouped first subset of the plurality of trip records to the application running on the remote device.
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