公开(公告)号：US20230153843A1

公开(公告)日：2023-05-18

申请号：US17525542

申请日：2021-11-12

Applicant: Oracle International Corporation

Inventor： Anupama Iyengar Singhvi ,  Rutuja Joshi ,  José R. Villacís ,  David Randolph Quick ,  Nigel Baldwin ,  Bertalan Danko ,  Jamie L. Bubier

IPC: G06Q30/02 ,  G06F16/23 ,  G06N20/20

CPC classification number: G06Q30/0202 ,  G06F16/2365 ,  G06N20/20

Abstract: Example embodiments include software for selectively combining outputs for multiple machine learning modules, so as to generate composite values. The composite values may provide more accurate metrics, e.g., composite scores, that may be used to more reliably predict/estimate, for instance, the likelihood of a given lead converting into a customer within a predetermine time interval. In certain embodiments, a math model selectively combines the scores, and the parameters thereof can be selectively adjusted in real time, based on real time data; so as to maintain accuracy of the composite scores. This can lead to enhanced situational awareness, which can be particularly important for enterprise sales representatives, account managers, and so on.