METHOD AND SYSTEM FOR SMART DETECTION OF BUSINESS HOT SPOTS

    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.

    IPC分类号: G06N5/048 G06Q10/04

    CPC分类号: G06N5/048 G06Q10/04

    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.

    METHOD AND SYSTEM FOR SMART DETECTION OF BUSINESS HOT SPOTS

    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.

    IPC分类号: G06N5/048 G06Q10/04

    CPC分类号: G06N5/048 G06Q10/04

    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.