Customizing recipes generated from online search history using machine-learned models

A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps comprising:

• generating a set of recipes based on search data including previous search queries submitted by users;
• obtaining, for a user of an online system, a set of factors including at least one of preferences of the user, inventory data of items at one or more retailers for the user, or dietary restrictions of the user;
• selecting, from the set of recipes, a recipe to customize for the user;
• generating a prompt for input to a machine-learned language model, the prompt specifying at least the obtained set of factors for the user and a request to customize the recipe for the user;
• providing the prompt to a model serving system for execution by the machine-learned language model for execution;
• and
• receiving, from the model serving system, a customized recipe for the user generated by executing the machine-learned language model on the prompt;
• and
• sending instructions that cause a client device to display the customized recipe for display on a webpage or an application page to the user of the client device.

A computer system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium having instructions that, when executed by the processor, cause the computer system to perform steps comprising:
• generating a set of recipes based on search data including previous search queries submitted by users;
• obtaining, for a user of an online system, a set of factors including at least one of preferences of the user, inventory data of items at one or more retailers for the user, or dietary restrictions of the user;
• selecting, from the set of recipes, a recipe to customize for the user;
• generating a prompt for input to a machine-learned language model, the prompt specifying at least the obtained set of factors for the user and a request to customize the recipe for the user;
• providing the prompt to a model serving system for execution by the machine-learned language model for execution;
• and
• receiving, from the model serving system, a customized recipe for the user generated by executing the machine-learned language model on the prompt;
• and
• sending instructions that cause a client device to display the customized recipe for display on a webpage or an application page to the user of the client device.