Maplebear Inc.

Sanam Alavizadeh

Ramasubramanian Balasubramanian

Joseph Olivier

Lukasz Czekaj

Alexandra Hart

Anna Vitti

Jeong Eun Woo

Lauren Scully

Lynn Fink

Nicole Yin Chuen Lee Altman

Michael Prescott

Samuel Lederer

An online concierge system suggests replacement items when an ordered item may be unavailable. To promote similarity of sources between the replacement item with the ordered item, candidate replacement items are scored, in part, based on a source similarity score based on a source of the candidate replacement item and a source of the ordered item. The source similarity score may be determined by a computer model based on user interactions with item sources. The similarity score may be based on source embeddings that may be determined based on respective item embeddings or may be determined by training source embeddings directly from user-source interactions. The similarity score for a candidate replacement item may be combined with a replacement score indicating the user's likelihood of selecting the candidate replacement item as a replacement to yield a total score for selection as suggestion as a replacement for the ordered item.

Identifying candidate replacement items with a source similarity score

Growing community of inventors

Chicago, IL, United States of America

Sanam Alavizadeh