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Patent Agency Ranking
公开(公告)号：US08811594B1
公开(公告)日：2014-08-19
申请号：US14040439
申请日：2013-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Jason Daniel Ganzhorn , Charles Eric Dannaker , Sunitha Muthireddy , Adam Bordianu , Asem Rustum , Sippakorn Tansutthiwess
CPC classification number: H04M3/5183
Abstract: A computing device generates a plurality of visual indications of connections made between customers and service representatives by an automated dispatcher system. The computing device further provides animations of the plurality of visual indications moving on a map between customer locations associated with the customers and service representative locations associated with the service representatives.
Abstract translation: 计算设备通过自动分派器系统产生在客户和服务代表之间形成的连接的多个视觉指示。 计算设备还提供在与客户相关联的客户位置和与服务代表相关联的服务代表位置之间的地图上移动的多个视觉指示的动画。
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公开(公告)号：US11379755B2
公开(公告)日：2022-07-05
申请号：US16231124
申请日：2018-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Leo Parker Dirac , Nicolle M. Correa , Charles Eric Dannaker
Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
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公开(公告)号：US20190122136A1
公开(公告)日：2019-04-25
申请号：US16231124
申请日：2018-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Leo Parker Dirac , Nicolle M. Correa , Charles Eric Dannaker
IPC: G06N20/00
Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
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公开(公告)号：US20220335338A1
公开(公告)日：2022-10-20
申请号：US17810554
申请日：2022-07-01
Applicant: Amazon Technologies, Inc.
Inventor： Leo Parker Dirac , Nicolle M. Correa , Charles Eric Dannaker
IPC: G06N20/00
Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
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公开(公告)号：US10169715B2
公开(公告)日：2019-01-01
申请号：US14489448
申请日：2014-09-17
Applicant: Amazon Technologies, Inc.
Inventor： Leo Parker Dirac , Nicolle M. Correa , Charles Eric Dannaker
Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
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