Personalized context-aware digital content recommendations

A system comprising:

• at least one processor;
• and
• at least one memory device coupled to the at least one processor, wherein the at least one memory device comprises instructions that, when executed by the at least one processor, cause the at least one processor to perform at least one operation comprising:
• generating, using a generative machine learning model and a first prompt, a first plurality of content recommendations, wherein the first prompt comprises a first search query and first historic information associated with an entity, and the first plurality of content recommendations is presented via a user interface of a device;
• receiving a selection of a content recommendation of the first plurality of content recommendations;
• generating, using the generative machine learning model and a second prompt, a second plurality of content recommendations, wherein the second prompt comprises a second search query and second historic information associated with the entity;
• generating a ranked order of the second plurality of content recommendations using a history of entity interactions including the selection of the content recommendation of the first plurality of content recommendations;
• determining a plurality of context-aware recommendations by optimizing a permutation of the ranked order of the second plurality of content recommendations;
• and
• causing the plurality of context-aware recommendations to be presented via the user interface of the device.

A non-transitory machine-readable storage medium comprising instructions that, when executed by at least one processor, cause the at least one processor to perform at least one operation comprising:

• generating, using a generative machine learning model and a first prompt, a first plurality of content recommendations, wherein the first prompt comprises a first search query and first historic information associated with an entity, and the first plurality of content recommendations is presented via a user interface of a device;
• receiving a selection of a content recommendation of the first plurality of content recommendations;
• generating, using the generative machine learning model and a second prompt, a second plurality of content recommendations, wherein the second prompt comprises a second search query and second historic information associated with the entity;
• generating a ranked order of the second plurality of content recommendations using a history of entity interactions including the selection of the content recommendation of the first plurality of content recommendations;
• determining a plurality of context-aware recommendations by optimizing a permutation of the ranked order of the second plurality of content recommendations;
• and
• causing the plurality of context-aware recommendations to be presented via the user interface of the device.