Patent ID: 11935109
Assignee: MAPLEBEAR INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method of claim 1, further comprising:
for each of a set of examples of the training data having a label indicating that the user of the example performed the specific interaction with the recipe of the example:
generating a user embedding for a user of an example of the set from application of the user model to characteristics of the user of the example of the set;
generating a recipe embedding for a recipe of the example of the set from application of the recipe model to attributes of the recipe of the example;
generating a predicted recipe embedding from one or more cross-modal recipe layers configured to receive the user embedding for the user of the example of the set as input, wherein the predicted recipe embedding corresponds to a predicted recipe with which the user of the example of the set has at least a threshold probability of performing the specific interaction;
generating a cross-modal recipe error term based on one or more differences between the predicted recipe embedding and the recipe embedding for the recipe of the example of the set;
backpropagating the cross-modal recipe error term through the recommendation model to update the set of parameters of the recommendation model; and
stopping the backpropagation of the cross-modal recipe error term after one or more criteria are satisfied.