Rich media presentation of recommendations in generative media

A system comprising:

• at least one processor;
• and
• a non-transitory computer-readable medium storing instructions which, when executed by the at least one processor, cause the system to:
• receive, at a generative artificial intelligence (AI) system executed by one or more processors, user input indicative of conversational context associated with a user;
• generate, by the generative AI system based on the conversational context, a set of content comprising a plurality of recommended items;
• provide, according to a ranking or sorting of the plurality of recommended items, the set of content for display via a user interface of a client device associated with the user;
• monitor, during a conversational session with the user, user responses in relation to the set of content and associated generative responses from the generative AI system;
• detect, from the user responses or the associated generative responses, one or more mentions of one or more items of the set of content;
• adjust parameters of the generative AI system based on the detected one or more mentions of the set of content to modify subsequent content generation;
• generate, according to the adjusted parameters of the generative AI system, an additional set of content comprising an additional plurality of recommended items;
• and
• provide the additional set of content for display via the user interface of the client device associated with the user.

A non-transitory computer-readable medium storing instructions thereon that, when executed by at least one processor, cause a computing device to:

• receive, at a generative artificial intelligence (AI) system executed by one or more processors, user input indicative of conversational context associated with a user;
• generate, by the generative AI system based on the conversational context, a set of content comprising a plurality of sorted recommended items;
• provide the set of content for display via a user interface of a client device associated with the user;
• monitor user responses in relation to the set of content and associated generative responses from the generative AI system;
• detect, from the user responses or the associated generative responses, one or more mentions of the set of content;
• adjust parameters of the generative AI system based on the detected one or more mentions of the set of content to modify subsequent content generation;
• and
• generate, based on the adjusted parameters and additional conversational context, a subsequent set of content comprising (i) a subsequent plurality of sorted recommended items and (ii) a subsequent generative response associated with the subsequent plurality of sorted recommended items.