公开(公告)号：US20250086189A1

公开(公告)日：2025-03-13

申请号：US18367185

申请日：2023-09-12

Applicant: Maplebear Inc.

Inventor： Levi Boxell ,  Esther Vasiete Allas ,  Tejaswi Tenneti ,  Tilman Drerup ,  Yueyang Rao

IPC: G06F16/2457 ,  G06F16/248

Abstract: A computer system allowing users to search for items of interest provides a search query interface. The system receives characters of a search query in the search interface as the user enters the characters and interactively calculates, ranks, and displays a set of possible search query options from which the user can select. To rank the set of possible search query options, the system modifies rankings of candidate search queries based on factors associated with third parties. More specifically, contextual relevance scores are computed for the candidate search queries based on the context, such as a user to whom the search results are provided. These contextual relevance scores are in turn adjusted using factors associated with third parties, such as values calculated based on consideration offered by third parties. Users are shown the search query options, ranked in order of the adjusted relevance scores, as possible query selections.

公开(公告)号：US20250156451A1

公开(公告)日：2025-05-15

申请号：US18510565

申请日：2023-11-15

Applicant: Maplebear Inc.

Inventor： Jacob Jensen ,  Fei Jia ,  Esther Vasiete Allas ,  Manmeet Singh ,  Lee Cohn ,  Tejaswi Tenneti

IPC: G06F16/332 ,  G06F40/284 ,  G06F40/40

Abstract: A language model is used to generate autosuggestions to complete or revise a user's partial search query. An initial partial query is applied to the language model to generate query candidates for completing the search query. The language model may generate the query candidates as additional or alternate tokens for the partial search query. When the user revises the partial query, the previously-generated candidates can be re-used to reduce subsequent processing time for generating additional candidates. The previously-generated candidates are compared with the revised partial query to select which of the candidates to be re-used and expanded for generating additional tokens. Additional tokens can be generated in parallel for the previously-generated candidates or with model values from the previous generation, enabling the tokens to be generated effectively with reduced latency consistent with user expectations for search-related autosuggestions.

公开(公告)号：US20240249334A1

公开(公告)日：2024-07-25

申请号：US18158219

申请日：2023-01-23

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Esther Vasiete Allas

IPC: G06Q30/0601 ,  G06Q10/083 ,  G06Q10/087

CPC classification number: G06Q30/0631 ,  G06Q10/083 ,  G06Q10/087 ,  G06Q30/0625 ,  G06Q30/0633 ,  G06Q30/0641

Abstract: An online concierge system generates a personalized storefront user interface to recommend items for purchase and delivery to a customer. The online concierge system obtains a user identifier for the customer and generates a set of recommended search terms that it predicts will be relevant to the customer. The recommended search terms may be identified at least in part by mapping items previously purchased by the customer to search queries that resulted in purchases of that item across a population of customers of the online concierge system. The online concierge system then executes respective search queries for the each of the set of search terms to generate respective search result sets for each of the recommended search terms. The search result sets may be presented as respective search queries on a user interface screen of a customer client device.