Computer-implemented systems configured for automated machine learning contact priority prediction for electronic messages and methods of use thereof

A method comprising:

• receiving, by at least one processor, a plurality of electronic messages residing in an electronic inbox associated with a recipient, wherein the plurality of electronic messages are associated with at least one sender and a subject;
• generating, by the at least one processor, a set of message data associated with each of the plurality of electronic messages;
• wherein each respective set of message data comprises:
• i) at least one sender indicator representing the respective sender of each respective at least one electronic message, and
• ii) at least one message subject indicator representing a respective subject of each respective at least one electronic message;
• receiving, by at least one processor, a plurality of calendar events residing in an electronic calendar associated with the recipient, wherein the plurality of calendar events are associated with at least one invitee and at least one event subject;
• determining, by the at least one processor, at least one calendar event of the plurality of calendar events associated with at least one electronic message of the plurality of electronic messages based at least in part on a matching of:
• the at least one sender with the at least one invitee, and
• the subject with the at least one event subject;
• transmitting, by the at least one processor, each respective set of message data and the at least one calendar event to a message prioritization system;
• wherein the message prioritization system comprises at least one message prioritization processor configured to:
• utilize a message prioritization machine learning model to predict a current prioritized ordering of the plurality of electronic messages based at least in part on a plurality of parameters associated with each of the each of the plurality of electronic messages;
• wherein the plurality of parameters comprise:
• i) at least one calendar event parameter that represents a calendar event of the at least one calendar event associated with a respective electronic message,
• ii) at least one personnel parameter associated with the at least one sender indicator of each respective electronic message, and
• iii) at least one message subject parameter associated with the at least one message subject indicator of each respective electronic message;
• wherein the current prioritized ordering comprises an order of notification of each electronic message of the plurality of electronic messages according to a message priority of each electronic message at a current time;
• wherein the message priority of each respective electronic message of the plurality of electronic messages is based on an interaction history associated with historical electronic messages associated with each respective sender;
• and
• transmit the current prioritized ordering to the at least one processor;
• and
• causing to display, by the at least one processor, the plurality of electronic messages according to the current prioritized ordering on a screen in communication with the at least one processor.

A system comprising:

• a non-transitory computer-readable memory having instructions stored thereon;
• and
• at least one processor in communication with the non-transitory computer-readable memory and configured to perform the instructions comprising:
• access a plurality of electronic messages residing in an electronic inbox associated with a recipient, wherein the plurality of electronic messages are associated with at least one sender and subject;
• access a plurality of calendar events residing in an electronic calendar associated with the recipient, wherein the plurality of calendar events are associated with at least one invitee and at least one event subject;
• determine at least one calendar event of the plurality of calendar events associated with at least one electronic message of the plurality of electronic messages based at least in part on a matching of:
• the at least one sender with the at least one invitee, and
• the subject with the at least one event subject;
• utilize a message prioritization machine learning model to predict a current prioritized ordering of the plurality of electronic messages based at least in part on a plurality of parameters associated with each of the plurality of electronic messages;
• wherein the plurality of parameters comprise:
• i) at least one calendar event parameter that represents a calendar event of the at least one calendar event associated with a respective electronic message,
• wherein the current prioritized ordering comprises an order of notification of each electronic message of the at least one electronic message according to a message priority of each electronic message at a current time;
• wherein the message priority of each respective electronic message of the at least one electronic message is based on an interaction history associated with historical electronic messages associated with each respective sender;
• and
• cause to display the plurality of electronic messages according to the current prioritized ordering on a screen of at least one computing device associated with the recipient.