Patents by Inventor Christopher Rupley

Christopher Rupley has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • AUTOMATIC GENERATION OF AN EXPLANATION, BASED ON DATA LINEAGE AND USER FEEDBACK, OF A PREDICTION PRODUCED BY A MACHINE LEARNING SYSTEM
    Publication number: 20230259824
    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.
    Type: Application
    Filed: April 27, 2023
    Publication date: August 17, 2023
    Inventors: Mayukh Bhaowal, Leah McGuire, Kin Fai Kan, Christopher Rupley, Xiaodan Sun, Michael Weil, Subha Nabar
  • Automatic generation of an explanation, based on data lineage and user feedback, of a prediction produced by a machine learning system
    Patent number: 11669767
    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.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: June 6, 2023
    Assignee: Salesforce, Inc.
    Inventors: Mayukh Bhaowal, Leah McGuire, Kin Fai Kan, Christopher Rupley, Xiaodan Sun, Michael Weil, Subha Nabar
  • AUTOMATIC GENERATION OF AN EXPLANATION, BASED ON DATA LINEAGE AND USER FEEDBACK, OF A PREDICTION PRODUCED BY A MACHINE LEARNING SYSTEM
    Publication number: 20210049419
    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.
    Type: Application
    Filed: August 15, 2019
    Publication date: February 18, 2021
    Inventors: Mayukh Bhaowal, Leah McGuire, Kin Fai Kan, Christopher Rupley, Xiaodan Sun, Michael Weil, Subha Nabar