Artificial intelligence-based system and method for generating and recommending personalized graphics for messaging applications

A method for generating and recommending graphics for inclusion in messages in a messaging system, the method comprising:

• receiving message data from a messaging client of the messaging system, the message data pertaining to a message between a user associated with the messaging client and a message partner;
• delivering the message data to a context determining model of a graphic recommendation system, the context determining model being trained to process message data to identify context data pertaining to at least one of the message, the user, and the message partner;
• generating a prompt for a graphic generating model of the graphic recommendation system, the prompt including the context data and instructions for causing the graphic generating model to generate one or more graphics for inclusion in the message;
• delivering the prompt as input to the graphic generating model, the graphic generating model being trained to generate the one or more graphics conditioned on the context data and the instructions;
• delivering the one or more graphics to a graphic recommendation model of the graphic recommendation system along with a plurality of predefined graphics of the messaging system, the graphic recommendation model being trained to rank the one or more graphics along with the plurality of predefined graphics using at least one ranking algorithm and to select a predetermined number of graphics to include in a graphic recommendation for the message based on ranks of the one or more graphics along and the plurality of predefined graphics;
• and
• delivering the graphic recommendation to the messaging client.

A non-transitory computer readable medium on which are stored instructions that, when executed, cause a programmable device to perform functions of:

• receiving message data from a messaging client of a messaging system, the message data pertaining to a message between a user associated with the messaging client and a message partner;
• delivering the message data to a context determining model of a graphic recommendation system, the context determining model being trained to process message data to identify context data pertaining to at least one of the message, the user, and the message partner;
• generating a prompt for a graphic generating model of the graphic recommendation system, the prompt including the context data and instructions for causing the graphic generating model to generate one or more graphics for inclusion in the message;
• delivering the prompt as input to the graphic generating model, the graphic generating model being trained to generate the one or more graphics conditioned on the context data and the instructions;
• delivering the one or more graphics to a graphic recommendation model of the graphic recommendation system along with a plurality of predefined graphics of the messaging system, the graphic recommendation model being trained to rank the one or more graphics along with the plurality of predefined graphics using at least one ranking algorithm and to select a predetermined number of graphics to include in a graphic recommendation for the message based on ranks of the one or more graphics along and the plurality of predefined graphics;
• and
• delivering the graphic recommendation to the messaging client.