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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: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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