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公开(公告)号：US20210241179A1
公开(公告)日：2021-08-05
申请号：US16777686
申请日：2020-01-30
Applicant: salesforce.com, inc.
Inventor： Rakesh Ganapathi Karanth , Arun Kumar Jagota , Kaushal Bansal , Amrita Dasgupta
Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.
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公开(公告)号：US11790278B2
公开(公告)日：2023-10-17
申请号：US16778925
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Rakesh Ganapathi Karanth , Arun Kumar Jagota , Kaushal Bansal , Amrita Dasgupta
IPC: G06N20/20 , G06N5/045 , G06N20/00 , G06F18/243 , G06F18/2134
CPC classification number: G06N20/20 , G06F18/2134 , G06F18/24323 , G06N5/045 , G06N20/00
Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.
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公开(公告)号：US11651291B2
公开(公告)日：2023-05-16
申请号：US16777686
申请日：2020-01-30
Applicant: salesforce.com, inc.
Inventor： Rakesh Ganapathi Karanth , Arun Kumar Jagota , Kaushal Bansal , Amrita Dasgupta
Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.
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公开(公告)号：US20210241047A1
公开(公告)日：2021-08-05
申请号：US16778925
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Rakesh Ganapathi Karanth , Arun Kumar Jagota , Kaushal Bansal , Amrita Dasgupta
Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.
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