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

IPC: G06N5/04 ,  G06Q10/04

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.

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

IPC: G06N5/04 ,  G06Q10/04

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.

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

IPC: G06Q10/04 ,  G06N5/048

CPC classification number: G06N5/048 ,  G06Q10/04

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.

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

IPC: G06N5/048 ,  G06Q10/04

CPC classification number: G06N5/048 ,  G06Q10/04

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.

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

IPC: G06N5/048 ,  G06Q10/04

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.

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

IPC: G06F16/28 ,  G06Q40/00 ,  G06N5/04 ,  G06F16/29 ,  G06Q50/14 ,  H04W88/02 ,  G06N20/00

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.