Parsing text content to generate links to database of items using large language models
AssigneeMaplebear Inc.
InventorsRiddhima Sejpal, Jatin Jain, Prithvishankar Srinivasan
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AssigneeMaplebear Inc.
InventorsRiddhima Sejpal, Jatin Jain, Prithvishankar Srinivasan
Estimating the term…
Item linked recipe generation using machine learning is described. Raw data is received that describes a recipe that uses ingredients. Ingredient descriptors are extracted from the raw data for the ingredients. Parsed ingredient data is determined using the ingredient descriptors and a large language model, such that the parsed ingredient data for each ingredient includes a name, a quantity, and a unit of measure. The name of each ingredient is mapped to a corresponding ingredient identifier that is part of an ingredient database. And each ingredient identifier in the ingredient database is associated with a corresponding item that is available for sale at one or more sources. A linked recipe is generated that includes for each ingredient: an ingredient identifier, a quantity of the ingredient, and a unit of measure of the quantity. A recommendation for the linked recipe is provided to a user client device.
A method, performed at a computer system comprising a processor and a computer-readable medium, comprising:
A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor of a computer system, cause the computer system to perform steps comprising:
A computer system comprising:
Dependencies are inferred from the claim text.