Abstract: The system may include one or more processors and memory that may store instructions that are configured to cause the system to perform a method. For example, the system may receive a first alert from a first application and determine, using a machine learning model, whether the first alert is similar to a previous alert. The determination may be based on the second alert satisfying a predetermined similarity threshold. When the first alert is similar to the previous alert, the system may associate a previous rating label with the first alert, the previous rating label being asssociated with the previous alert and transmit the first alert with the previous rating label to one or more user devices for display.

Abstract: Disclosed embodiments may include another system for prioritizing alerts. The alert prioritization system may include one or more processors and that may store instructions that are configured to cause the system to perform a method for prioritizing alerts. For example, the system may receive a first alert from a first application and determine, using a machine learning model, whether the first alert is similar to a previous alert. The determination may be based on the second alert satisfying a predetermined similarity threshold. When the first alert is similar to the previous alert, the system may associate a previous rating label with the first alert, the previous rating label being associated with the previous alert and transmit the first alert with the previous rating label to one or more user devices for display.