Patents by Inventor Darrell Grissen

Darrell Grissen 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 RULE GENERATION FOR NEXT-ACTION RECOMMENDATION ENGINE
    Publication number: 20240144328
    Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
    Type: Application
    Filed: January 5, 2024
    Publication date: May 2, 2024
    Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
  • Automatic rule generation for next-action recommendation engine
    Patent number: 11900424
    Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: February 13, 2024
    Assignee: Salesforce, Inc.
    Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
  • AUTOMATIC RULE GENERATION FOR NEXT-ACTION RECOMMENDATION ENGINE
    Publication number: 20220198529
    Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
    Type: Application
    Filed: December 28, 2021
    Publication date: June 23, 2022
    Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
  • Automatic rule generation for next-action recommendation engine
    Patent number: 11210712
    Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
    Type: Grant
    Filed: July 24, 2019
    Date of Patent: December 28, 2021
    Assignee: salesforce.com, inc.
    Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen
  • AUTOMATIC RULE GENERATION FOR NEXT-ACTION RECOMMENDATION ENGINE
    Publication number: 20210027338
    Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
    Type: Application
    Filed: July 24, 2019
    Publication date: January 28, 2021
    Inventors: Yuxi Zhang, Kexin Xie, Shrestha Basu Mallick, Darrell Grissen