Rich media presentation of recommendations in generative media

A system for dynamically refining a presentation of recommendations to a user, comprising one or more processors configured to perform the operations of:

• presenting, via a trained generative AI, a set of media content to a user in a communication session within a platform, the media content comprising a plurality of sorted recommended items;
• monitoring and quantifying one or more user responses from the user to the presented media content and one or more associated generative responses from the trained generative AI;
• based on the monitoring and quantifying, detecting one or more mentions by the user to one of the plurality of sorted recommended items;
• generating, from the one or more detected mentions, one or more labeled training examples;
• and
• further training the trained generative AI based on the one or more labeled training examples to improve the presentation of the media content in future communication sessions.

A non-transitory computer-readable medium for dynamically refining a presentation of recommendations to a user, comprising:

• instructions for presenting, via a trained generative AI, a set of media content to a user in a communication session within a platform, the media content comprising a plurality of sorted recommended items;
• instructions for monitoring and quantifying one or more user responses from the user to the presented media content and one or more associated generative responses from the trained generative AI;
• based on the monitoring and quantifying, instructions for detecting one or more mentions by the user to one of the plurality of sorted recommended items;
• instructions for generating, from the one or more detected mentions, one or more labeled training examples;
• and
• instructions for further training the trained generative AI based on the one or more labeled training examples to improve the presentation of the media content in future communication sessions.