公开(公告)号：US20250069126A1

公开(公告)日：2025-02-27

申请号：US18236342

申请日：2023-08-21

Applicant: Maplebear Inc.

Inventor： Madeline Mesard ,  Kevin McCullough ,  Ryan Martin ,  Justin Park

IPC: G06Q30/0601 ,  G06F16/22 ,  G06Q10/087

Abstract: An online system identifies recipes that are most likely to be pertinent to particular users of the system. To do so, the online system uses an association table containing degrees of association between pairs of possible ingredients, identifying degrees of association between the constituent ingredients of various possible recipes and between ingredients from known user personalization data about the user to whom recipes are being recommended. These degrees of association are used to compute a score for each recipe as a whole, with the highest scores indicating the most pertinent recipes for the user in question. The most pertinent recipes, and/or the constituent ingredients of those recipes, are recommended to the user, and the system may additionally aid the user in obtaining the full complement of ingredients for a recommended recipe. The system may also build the association table as a co-occurrence graph of pairs of items that were previously purchased together by users of the system.