公开(公告)号：US11916927B2

公开(公告)日：2024-02-27

申请号：US17981830

申请日：2022-11-07

申请人： Sift Science, Inc.

发明人： Eric St. Pierre ,  Alex Forbess

IPC分类号： H04L9/40 ,  G06Q20/40

CPC分类号： H04L63/1408 ,  G06Q20/4016

摘要： A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

公开(公告)号：US20240154975A1

公开(公告)日：2024-05-09

申请号：US18416883

申请日：2024-01-18

申请人： Sift Science, Inc.

发明人： Eric St. Pierre ,  Alex Forbess

IPC分类号： H04L9/40 ,  G06Q20/40

CPC分类号： H04L63/1408 ,  G06Q20/4016

摘要： A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.

公开(公告)号：US20230144173A1

公开(公告)日：2023-05-11

申请号：US17981830

申请日：2022-11-07

申请人： Sift Science, Inc.

发明人： Eric St. Pierre ,  Alex Forbess

IPC分类号： H04L9/40

CPC分类号： H04L63/1408

摘要： A system and method for accelerating a disposition of a digital dispute event includes routing a digital dispute event to one of a plurality of distinct machine learning-based dispute scoring models; computing, by the one of the plurality of distinct machine learning-based dispute scoring models, a preliminary machine learning-based dispute inference based on one or more features extracted from the digital dispute event, wherein the preliminary machine learning-based dispute inference relates to a probability of the subscriber prevailing against the digital dispute event based on each piece of evidence data of a service-proposed corpus of evidence data being available to include in a dispute response artifact; and generating the dispute response artifact based on the digital dispute event, wherein the generating includes installing one or more obtainable pieces of evidence data associated with the digital event into one or more distinct sections of the dispute response artifact.