公开(公告)号：US11514515B2

公开(公告)日：2022-11-29

申请号：US16037700

申请日：2018-07-17

Applicant: Adobe Inc.

Inventor： Maoqi Xu ,  Zhenyu Yan ,  Jin Xu ,  Abhishek Pani

IPC: G06Q30/00 ,  G06Q40/02 ,  G06Q30/02 ,  G06N20/00 ,  G05B19/418 ,  G06N5/04

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for using reject inference to generate synthetic data for modifying lead scoring models. For example, the disclosed system identifies an original dataset corresponding to an output of a lead scoring model that generates scores for a plurality of prospects to indicate a likelihood of success of prospects of the plurality of prospects. In one or more embodiments, the disclosed system selects a reject inference model by performing simulations on historical prospect data associated with the original dataset. Additionally, the disclosed system uses the selected reject inference model to generate an imputed dataset by generating synthetic outcome data representing simulated outcomes of rejected prospects in the original dataset. The disclosed system then uses the imputed dataset to modify the lead scoring model by modifying at least one parameter of the lead scoring model using the synthetic outcome data.

公开(公告)号：US20200027157A1

公开(公告)日：2020-01-23

申请号：US16037700

申请日：2018-07-17

Applicant: Adobe Inc.

Inventor： Maoqi Xu ,  Zhenyu Yan ,  Jin Xu ,  Abhishek Pani

IPC: G06Q40/02 ,  G06N5/04 ,  G06Q30/02 ,  G06N99/00

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for using reject inference to generate synthetic data for modifying lead scoring models. For example, the disclosed system identifies an original dataset corresponding to an output of a lead scoring model that generates scores for a plurality of prospects to indicate a likelihood of success of prospects of the plurality of prospects. In one or more embodiments, the disclosed system selects a reject inference model by performing simulations on historical prospect data associated with the original dataset. Additionally, the disclosed system uses the selected reject inference model to generate an imputed dataset by generating synthetic outcome data representing simulated outcomes of rejected prospects in the original dataset. The disclosed system then uses the imputed dataset to modify the lead scoring model by modifying at least one parameter of the lead scoring model using the synthetic outcome data.