Maplebear Inc.

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Haixun Wang

Sharath Rao Karikurve

Shishir Kumar Prasad

An online concierge shopping system identifies candidate items to a user for inclusion in an order based on prior user inclusion of items in orders and items currently included in the order. From a multi-dimensional tensor generated from cooccurrences of items in orders from various users, the online concierge system generates item embeddings and user embeddings in a common latent space by decomposing the multi-dimensional tensor. From items included in an order, the online concierge system generates an order embedding from item embeddings of the items included in the order. Scores for candidate items are determined based on similarity of item embeddings for the candidate items to the order embedding. Candidate items are selected based on their scores, with the selected candidate items identified to the user.

Personalized recommendation of complementary items to a user for inclusion in an order for fulfillment by an online concierge system based on embeddings for a user and for items

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Riverside, CA, United States of America

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