Systems and methods for recommending tasks for execution by third party services

A system comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium that stores instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including:
• receiving sensor data associated with a user, wherein the sensor data is stored in association with a user model that corresponds to the user;
• generating a feature vector from the sensor data and the user model;
• executing a machine-learning model using the feature vector, wherein the machine-learning model generates a recommendation for each of one or more tasks;
• selecting a particular task from the one or more tasks;
• and
• facilitating a transmission that includes an identification of the particular task.

A non-transitory computer-readable storage medium that stores instructions that, when executed by one or more processors, cause the one or more processors to perform the operations of:

• receiving sensor data associated with a user, wherein the sensor data is stored in association with a user model that corresponds to the user;
• generating a feature vector from the sensor data and the user model;
• executing a machine-learning model using the feature vector, wherein the machine-learning model generates a recommendation for each of one or more tasks;
• selecting a particular task from the one or more tasks;
• and
• facilitating a transmission that includes an identification of the particular task.