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公开(公告)号:US11669767B2
公开(公告)日:2023-06-06
申请号:US16542228
申请日:2019-08-15
Applicant: salesforce.com, inc.
Inventor: Mayukh Bhaowal , Leah McGuire , Kin Fai Kan , Christopher Rupley , Xiaodan Sun , Michael Weil , Subha Nabar
IPC: G06Q10/0637 , G06F18/21 , G06N20/00 , G06N5/045 , G06F18/214
CPC classification number: G06F18/2185 , G06F18/2148 , G06N5/045 , G06N20/00
Abstract: A set of data for training a machine learning system can be modified to improve its performance. An item of information can be transmitted. A message can be transmitted that includes an explanation of a determination, by the machine learning system, to transmit the item of information from among a plurality of items of information. A first set of data can have been used to train the machine learning system. A signal can be received that includes an indication of a usefulness of the message, to a user of a user device, in making a decision to perform an action based on a knowledge associated with the item of information. The first set of data can be modified, in response to a receipt of the signal, to produce a second set of data. The machine learning system can be caused to be trained using the second set of data.
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公开(公告)号:US20210049419A1
公开(公告)日:2021-02-18
申请号:US16542228
申请日:2019-08-15
Applicant: salesforce.com, inc.
Inventor: Mayukh Bhaowal , Leah McGuire , Kin Fai Kan , Christopher Rupley , Xiaodan Sun , Michael Weil , Subha Nabar
Abstract: A set of data for training a machine learning system can be modified to improve its performance. An item of information can be transmitted. A message can be transmitted that includes an explanation of a determination, by the machine learning system, to transmit the item of information from among a plurality of items of information. A first set of data can have been used to train the machine learning system. A signal can be received that includes an indication of a usefulness of the message, to a user of a user device, in making a decision to perform an action based on a knowledge associated with the item of information. The first set of data can be modified, in response to a receipt of the signal, to produce a second set of data. The machine learning system can be caused to be trained using the second set of data.
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