Systems and methods for prioritizing alerts

A system for prioritizing alerts, comprising:

• one or more processors;
• and
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive a first alert from a first application;
• determine, using a machine learning model, whether the first alert is similar to a previous alert based on a predetermined similarity threshold;
• based on the first alert satisfying the predetermined similarity threshold:
• 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;
• and
• based on the first alert failing to satisfy the predetermined similarity threshold:
• transmit the first alert with a first prompt to rate the first alert to the one or more user devices;
• receive a first rating label for the first alert;
• train the machine learning model to associate the first rating label with the first alert;
• and
• transmit the first alert with the first rating label to the one or more user devices for display.

An alert prioritization system comprising:

• one or more processors;
• and
• memory in communication with the one or more processors and storing instructions that are configured to cause the system to:
• receive a first alert from a first application;
• determine, using a machine learning model, whether the first alert is similar to a previous alert based on a predetermined similarity threshold;
• and
• based on the first alert satisfying the predetermined similarity threshold;
• 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.