Invention Grant
- Patent Title: Machine learning for determining communication protocols
-
Application No.: US17321571Application Date: 2021-05-17
-
Publication No.: US11750731B2Publication Date: 2023-09-05
- Inventor: Sara Brodsky , Jennifer Kwok , Tania Cruz Morales , Joshua Edwards , Abhay Donthi , Jason Zwierzynski
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Perkins Coie LLP
- Main IPC: H04W68/00
- IPC: H04W68/00 ; H04B1/00 ; H04M1/724 ; G06N20/00 ; G06F18/214

Abstract:
Methods and systems are disclosed herein for using one or more machine learning models to determine whether a user is expected to complete a task or action by a deadline. The one or more machine learning models may be trained and/or used to recommend a communication protocol for sending a reminder to the user such that the user is predicted to be more likely to complete an action by the action's deadline. A computing system may use the one or more machine learning models to generate a recommendation for type of reminder to send, for example, if it is predicted that the user is not expected to complete the task by the deadline. A computing system may determine the message to send, the communication protocol to use, and/or the time to send the message.
Public/Granted literature
- US20220368789A1 MACHINE LEARNING FOR DETERMINING COMMUNICATION PROTOCOLS Public/Granted day:2022-11-17
Information query