GENERATING ITEM REPLACEMENTS USING MACHINE LEARNING BASED LANGUAGE MODELS

    公开(公告)号:US20240362696A1

    公开(公告)日:2024-10-31

    申请号:US18643890

    申请日:2024-04-23

    Applicant: Maplebear Inc.

    CPC classification number: G06Q30/0629 G06F40/40 G06V30/10

    Abstract: An online system uses a machine learning based language model, for example, a large language model (LLM) to identify replacement items for an item that may not be available at a store. The online system receives a request for an item and determines that the requested item is not available. The online system identifies a replacement item. If the online system determines that the replacement item has a replacement score below a threshold value indicating a low quality of replacement for the requested item, it uses a machine learning based language model, for example, a large language model to generate an explanation for why the replacement item has a replacement score below the threshold value. The online system sends the explanation to a client device.

Patent Agency Ranking