公开(公告)号：US11023910B2

公开(公告)日：2021-06-01

申请号：US16232830

申请日：2018-12-26

申请人： Microsoft Technology Licensing, LLC

发明人： Florian Raudies ,  Sumedha K. Swamy ,  Luthfur R. Chowdhury ,  Xi Chen

IPC分类号： G06Q30/02 ,  G06Q10/10 ,  G06N20/00

摘要： The disclosed embodiments provide a system for forecasting job applications. During operation, the system applies a first machine learning model to features that include a budget for a job to predict a number of impressions of the job. Next, the system applies a second machine learning model to additional features for the job to estimate an application rate for the job. The system then determines a distribution of applications to the job based on the number of impressions and the application rate. Finally, the system outputs one or more values from the distribution of applications to the job as guidance for setting the budget for the job.

公开(公告)号：US20200211041A1

公开(公告)日：2020-07-02

申请号：US16232830

申请日：2018-12-26

申请人： Microsoft Technology Licensing, LLC

发明人： Florian Raudies ,  Sumedha K. Swamy ,  Luthfur R. Chowdhury ,  Xi Chen

IPC分类号： G06Q30/02 ,  G06N20/00 ,  G06Q10/10

摘要： The disclosed embodiments provide a system for forecasting job applications. During operation, the system applies a first machine learning model to features that include a budget for a job to predict a number of impressions of the job. Next, the system applies a second machine learning model to additional features for the job to estimate an application rate for the job. The system then determines a distribution of applications to the job based on the number of impressions and the application rate. Finally, the system outputs one or more values from the distribution of applications to the job as guidance for setting the budget for the job.